Research Collection
Working Paper
Stability of Travel Behaviour: Thurgau 2003
Author(s): Löchl, Michael
Publication Date: 2005
Permanent Link: https://doi.org/10.3929/ethz-b-000066687
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ETH Library Stability of Travel Behaviour: Thurgau 2003
Michael Löchl
Travel Survey Metadata Series 16 Travel Survey Metadata Series 16
Stability of Travel Behaviour: Thurgau 2003
Michael Löchl IVT ETH Zürich Zürich
Phone: +41 44 633 62 58 Fax: +41 44 633 10 57 [email protected]
Abstract
Within the project, a six week travel survey has been conducted among 230 persons from 99 households in Frauenfeld and the surrounding areas in Canton Thurgau from August until December 2003. The design built on the questionnaire used in the German project Mobidrive, but developed the set of questions further. All trip destinations of the survey have been geocoded. Moreover, route alternatives for private motorised transport and public transport have been calculated. Moreover, the collected data has been compared with the National Travel Survey 2000 (Mikrozensus zum Verkehrsverhalten 2000), whereas differences in terms of sociodemographic characteristics of the respondents and particularly their travel behaviour couldn't be observed except for an higher proportion of GA and Halbtax ownership. For example, the average trip frequency per person and day is almost the same. In order to check for possible fatigue effects of the amount of reported trips, several GLM (Generalised Linear Model) and poisson regression models have been estimated besides descriptive analysis. No fatigue effects could be observed in the data set. The continuous support to the respondents and the increasing routine of the self responsible reporting of the respondents were consequently sufficient to restrain potential fatigue effects in the multi-week, longitudinal travel survey. Besides descriptive analysis of the data set, the focus has been on analysis of temporal stability and variability of travel behaviour by hazard models. The analyses of the variability and of the rhythms as well as that of the innovation have revealed that travel behaviour is highly conditioned by habits and routines. Nevertheless, new trip destinations are added continuously, particularly for leisure travel. The majority of trips have been planned at least one or more days in advance. Moreover, it could be shown that the rhythms and therefore the temporal structure are partly dependent on the socio-demographic characteristics of the respondents, although it is just one determinant within the demand structure. The activities themselves can be divided into groups with daily, bi-daily and weekly rhythms and without a temporal structure. In addition, the spatial dimension and distribution of trip destinations as well as the extent of activity spaces over the reporting period has been analysed through confidence ellipses, a two-dimensional version of the well-known confidence interval, and kernel density estimates of activity density. The data base generated within the project is an important prerequisite to better understand and model the complex connection of transport supply, activity planning and execution as well as destination, mode and route choice. With this knowledge it is possible to better assess the effects of measures, particularly those which have a direct impact on daily routines.
Keywords
Travel behaviour , Stability , Longitudinal surveys , 6-week travel diary , Thurgau
Preferred citation style
Loechl, M. (2005) Stability of Travel Behaviour: Thurgau 2003 , Travel Survey Metadata Series, 16, Institute for Transport Planning and Systems (IVT); ETH Zürich, Zürich. 1.0 Document Description
Citation
Title: Stability of travel behaviour: Thurgau 2003
Alternative Title: Study on stability of travel behaviour
Identification thurgau_2003 Number:
Authoring Entity: Michael Löchl (IVT, ETH Zurich)
Other identifications and Saikumar Chalasani acknowledgements:
Producer: Institute for Transport Planning and Systems
Copyright: Institute for Transport Planning and Systems
Date of Production: 2005-10-14
Software used in Nesstar Hierarchy Builder Production:
Distributor: Institute for Transport Planning and Systems
Access Authority: Michael Löchl
Access Authority: Prof. KW Axhausen
Depositor: Institute for Transport Planning and Systems Date of Deposit:
Version: 1.0
Version Michael Löchl; Saikumar Chalasani Responsibility:
Loechl, M. (2005) Stability of Travel Behaviour: Thurgau 2003, Bibliographic Travel Survey Metadata Series, 16, Institut für Verkehrsplanung und Citation: Transportsysteme (IVT), ETH Zürich, Zürich. 2.0 Study Description
Citation
Title: Stability of Travel Behaviour: Thurgau 2003
Alternative Title: Study on stability of travel behaviour: Thurgau 2003
Identification thurgau_2003 Number:
Authoring Entity: Michael Loechl (IVT, ETH Zurich)
Stefan Schoenfelder (IVT, ETH Zurich)
Dr. Robert Schlich (IVT, ETH Zurich)
Thomas Buhl (Buero Widmer)
Paul Widmer (Buero Widmer)
Prof. KW Axhausen (IVT, ETH Zurich)
Other identifications and Horst Machguth acknowledgements:
Other identifications and Stefan Sandmeier acknowledgements:
Producer: Institute for Transport Planning and Systems
Date of Production: 2005-10-14 Software used in Nesstar Hierarchy Builder Production:
Funding Swiss Federal Roads Authority (ASTRA) Agency/Sponsor:
Grant Number: SVI 2001/514
Distributor: Institute for Transport Planning and Systems
Access Authority: Michael Loechl
Access Authority: Prof. KW Axhausen
Depositor: Institute for Transport Planning and Systems
Date of Deposit:
Date of Distribution:
Version: 1.0
Version Michael Loechl Responsibility:
Löchl, M., S. Schönfelder, R. Schlich, T. Buhl, P. Widmer und K.W. Bibliographic Axhausen (2005) Untersuchung der Stabilität des Citation: Verkehrsverhaltens, Schlussbericht, SVI 2001/514, Schriftenreihe, 1120, Bundesamt für Strassen, UVEK, Bern. Study Scope
Within the project, a six week travel survey has been conducted among 230 persons from 99 households in Frauenfeld and the surrounding areas in Canton Thurgau from August until December 2003. The design built on the questionnaire used in the German project Mobidrive, but developed the set of questions further. All trip destinations of the survey have been geocoded. Moreover, route alternatives for private motorised transport and public transport have been calculated. Moreover, the collected data has been compared with the National Travel Survey 2000 (Mikrozensus zum Verkehrsverhalten 2000), whereas differences in terms of sociodemographic characteristics of the respondents and particularly their travel behaviour couldn't be observed except for an higher proportion of GA and Halbtax ownership. For example, the average trip frequency per person and day is almost the same. In order to check for possible fatigue effects of the amount of reported trips, several GLM (Generalised Linear Model) and poisson regression models have been estimated besides descriptive analysis. No fatigue effects could be observed in the data set. The continuous support to the respondents and the increasing routine of the self responsible reporting of the respondents were consequently sufficient to restrain potential fatigue effects in the multi-week, longitudinal travel survey. Besides descriptive analysis of the data set, the focus has Abstract: been on analysis of temporal stability and variability of travel behaviour by hazard models. The analyses of the variability and of the rhythms as well as that of the innovation have revealed that travel behaviour is highly conditioned by habits and routines. Nevertheless, new trip destinations are added continuously, particularly for leisure travel. The majority of trips have been planned at least one or more days in advance. Moreover, it could be shown that the rhythms and therefore the temporal structure are partly dependent on the socio-demographic characteristics of the respondents, although it is just one determinant within the demand structure. The activities themselves can be divided into groups with daily, bi-daily and weekly rhythms and without a temporal structure. In addition, the spatial dimension and distribution of trip destinations as well as the extent of activity spaces over the reporting period has been analysed through confidence ellipses, a two-dimensional version of the well-known confidence interval, and kernel density estimates of activity density. The data base generated within the project is an important prerequisite to better understand and model the complex connection of transport supply, activity planning and execution as well as destination, mode and route choice. With this knowledge it is possible to better assess the effects of measures, particularly those which have a direct impact on daily routines. Time Period: -
Country: Switzerland
Geographic Frauenfeld city in Canton Thurgau and Seerucken area north of Coverage: Frauenfeld
Unit of Analysis: Individuals
Permanantly residing individuals of age 10 years and above with Universe: exceptions of 1. Single parent families, 2. Collective households (such as Prisons, Old age homes, Asylums, etc.)
Kind of Data: Revealed preference data Methodology and Processing
Consecutive 6 week- travel diary conducted during August and Time Method: December 2003
Data Collector: Dr. Robert Schlich
Thomas Buhl
Frequency of Data 6 times on Weekly basis Collection:
Sampling Single strata random sampling Procedure:
Major Deviations from the Sample None Design:
Mode of Data Paper and pencil based personal Interview (PAPI) followed by Paper Collection: and pencil based self-administrated questionnaire covering one week
Type of Research Structured paper and pencil based questionnaires Instrument: Sources Statement
Experiences from Mobidrive were taken into account for survey Data Sources: design and execution
Characteristics of Cooperativeness of respondents was a prerequisite. Trustness of Data Collection respondents grew along with the survey progress. Situation:
Actions to Minimize Fllow-up calls for cross-checking the outliers Losses:
Individuals were weighted against household size, driving licence Weighting: and household income. These weights were adjusted against the trip frequencies.
Cleaning Data was checked for outliers, cross checked for the consistency, Operations: and activity overlaps were verified and adjusted.
Telephon number not working: 4.5%; Not reached by telephone: 15.9%; Rejected: 38.8%; Does not belong to a usual household (senior residence etc.): 5.5% ; Sampling requirements reached: Response Rate: 5.6%; Not called after announcement letter: 19.1%; Rejected after interview: 0.6%; Drop out during survey period: 0.6%; Participants: 9.2%; Announcement letter send: 100%. Data Access
Location: Institute for Transport Planning and Systems
Archive Where Study was ETH Travel Data Archive Originally Stored:
Availability Status: Public
Extent of around 36'000 trips from 220 individuals Collection:
Number of Files: 5
Confidentiality Please contact Prof. Axhausen for the details. Declaration:
Access Authority: Michael Löchl
Access Authority: Prof. KW Axhausen
Löchl, M., S. Schönfelder, R. Schlich, T. Buhl, P. Widmer and K.W. Citation Axhausen (2005) Untersuchung der Stabilität des Requirement: Verkehrsverhaltens, Schlussbericht SVI 2001/514, Schriftenreihe, 1120, Bundesamt für Strassen, UVEK, Bern. Other Study Description Materials
Related Studies
Citation
Title: Mobidrive
Holdings http://www.ptv.de/mobidrive Information:
The recent shift in transport policy to emphasise travel demand management has directed the attention of transport planning research towards the dynamic processes in travel behaviour: learning and change on the one side and rhythms and routines on the other. Progress in the understanding of these processes requires data over long durations, from observation or self-reports. The survey reported here provides for the first time in 30 years a data source suitable to address these issues. The project Mobidrive, funded by the German ministry of Research and Education, conducted a Notes: six-week continuous travel diary, with the aim to analyse the rhythms in the behaviour of the respondents. The travel dairy survey was Karlsruhe and Halle, two German cities of about 300'000 inhabitants, in the fall of 1999. A total of 317 persons over 6 years of age in 139 households participated in the main study. The description covers the development of the forms, the design of the survey protocol, the screening experiences (including participation rates) and an assessment of the data quality in terms of item/unit non-response and reporting fatigue. The paper closes with an outlook for the analyses planned by the project team.
Related Publications
Citation
Title: Untersuchung der Stabilität des Verkehrsverhaltens
Bibliographic Löchl, M., S. Schönfelder, R. Schlich, T. Buhl, P. Widmer und K.W. Citation: Axhausen (2005) Untersuchung der Stabilität des Verkehrsverhaltens, Schlussbericht, SVI 2001/514, Schriftenreihe, 1120, Bundesamt für Strassen, UVEK, Bern.
Holdings http://www.ivt.ethz.ch/vpl/publications/reports/ab287.pdf Information:
Citation
Berechnung von Routen- und Verkehrsmittelalternativen für den Title: Datensatz Thurgau 2003,
Machguth, M., M. Löchl und M. Bürgle (2004) Berechnung von Bibliographic Routen- und Verkehrsmittelalternativen für den Datensatz Thurgau Citation: 2003, Arbeitsberichte Verkehrs- und Raumplanung, 231, Institut für Verkehrsplanung und Transportsysteme (IVT), ETH Zürich, Zürich.
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Citation
Title: Analysing Swiss longitudinal travel data
Löchl, M., K.W. Axhausen and S. Schönfelder (2005) Analysing Bibliographic Swiss longitudinal travel data, Conference Paper, STRC, Monte Citation: Verità. Holdings http://www.ivt.ethz.ch/vpl/publications/reports/ab276.pdf Information:
Citation
Title: Precision of geocoded locations and network distance estimates
Chalasani, V.S., Ø. Engebretsen, J.M. Denstadli and K.W. Axhausen Bibliographic (2005) Precision of geocoded locations and network distance Citation: estimates, Journal of Transportation and Statistics, 8 (2), 1-15.
Holdings http://www.ivt.ethz.ch/vpl/publications/reports/ab256.pdf Information: 3.0 File Description
File: Thurgau Haushalte.NSDstat
File Structure: hierarchical
Record Group
Number of cases: 99
No. of variables per record: 33
Type of File: NSDstat 200203 3.0 File Description
File: Thurgau Personen_new.NSDstat
File Structure: hierarchical
Record Group
Number of cases: 230
No. of variables per record: 98
Type of File: NSDstat 200203 3.0 File Description
File: Thurgau Wege_new.NSDstat
File Structure: hierarchical
Record Group
Number of cases: 36761
No. of variables per record: 92
Type of File: NSDstat 200203 4.0 Variable Description
Variable Groups
Households Indexvariables Socio-Demographics Accommodation Location Motorised Vehicles and Parking Index Variables Socio demographic characteristics Former places of living Education Work details Parking at work Fixed Committments Mobility Tools Travel behaviour Index variables Trip preparation Travel time Travel time by mode Purpose Mode Spatial information Routing Distances and speed Trip accompaniment Round Trip
Households
Variable Groups within Households
Indexvariables Socio-Demographics Accommodation Location Motorised Vehicles and Parking
Indexvariables Variables within Indexvariables
Identification number of household Household number
Socio-Demographics
Variables within Socio-Demographics
Number of household members Number of adults Number of children under 6 Number of children under 12 Number of children under 18 Number of dogs Household income
Accommodation
Variables within Accommodation
Identification number of household Household number Number of household members Rooms of accomodation Size of accommodation in square meter Is the accommodation rented ("other" was in no case reported) Kind of accomodation Features: Garden Features: Balcony Features: Terrace Additional accomocation Rent including additional costs per month (SFr.) "Eigenmietwert"/mortgage payment per month (SFr.)
Location
Variables within Location
Identification number of household Household number Number of household members School within 10min walking time (reported) Kindergarden within 10min walking time (reported) Doctor within 10min walking time (reported) Bank within 10min walking time (reported) Post within 10min walking time (reported) Supermarket/grocery shop within 10min walking time (reported) Bus stop within 10min walking time (reported) Rail station within 10min walking time (reported) Close relatives/friends within 10min walking time (reported) Name of next public transport stop (bus/rail) X coordinate of home Y coordinate of home
Motorised Vehicles and Parking
Variables within Motorised Vehicles and Parking
Identification number of household Number of motorised Vehicles Number of private parking spaces
Index Variables
Variables within Index Variables
Identification number of household Number of household members Size of accommodation in square meter Person number Household number Residential location Personal weighting factor in order to National Household Travel Survey 2000 (only Thurgau)
Socio demographic characteristics
Variables within Socio demographic characteristics
Identification number of household Number of household members Number of adults Size of accommodation in square meter Is the accommodation rented ("other" was in no case reported) Gender Age of the person Year of birth Life partner / long term relationship Household income (reported) Household income (imputed) Former places of living
Variables within Former places of living
Identification number of household Number of motorised Vehicles Number of private parking spaces City where grown up 1 City where grown up 2 City where grown up 3 Zip code where grown up 1 Zip code where grown up 2 Zip code where grown up 3 Starting year of residence in canton Thurgau Starting year of residence in the current town Starting year of residence in the current dwelling Number of residence moves since 1993
Education
Variables within Education
Number of household members Number of children under 12 Person number Education (original coding) School education Highest degree achieved Other education
Work details
Variables within Work details
Identification number of household Number of adults Number of children under 6 Is the accommodation rented ("other" was in no case reported) Occupation Employement status (derived) Working: coded Working status (reported) Occupation of the person (reported) Number of working hours per week Working hour schedule Other working time regulations City of working place Zip code of working place Additional occupation Hours of additional occupation Place of additional occupation Zip code of place of additional occupation Hours of additional occupation (recoded)
Parking at work
Variables within Parking at work
Number of children under 6 Parking space at work / education place Free parking at working place Parking charge (CHF)
Fixed Committments
Variables within Fixed Committments
Number of children under 6 Number of children under 12 Regular commitments Regular commitments: club Regular commitments: public authority Regular commitments: voluntary service, political party etc. Regular commitments: commitment to relatives Regular commitments: further education Regular commitments: other (see commit_o for details) Other commitments
Mobility Tools
Variables within Mobility Tools
Number of children under 18 Number of dogs Number of motorised Vehicles Licence: Car Licence: Lorry, Bus Licence: Motor cycle Licence: Moped Number of licences Reasons for having no licence Affiliation to carsharing organisation Car availability Car availability by taking into account age (<18years => 0) Car ownership (car_kav = 1) by taking into account age (<18year => 0) Kind of car availability (adjustmented) Home to main parking space: Time (in minutes) Home to main parking space: Distance (in meters) Season ticket for public transport General season ticket for public transport in Switzerland (GA) Halbtax Gleis 7 Yearly or monthly ticket for train/bus (i.e. Ostwind) Yearly or monthly ticket for city bus Frauenfeld Multiple ticket (regularly) Route pass Other season ticket Yearly or monthly ticket (if oev_butr AND/OR pt_bus = 1) Season ticket (coded) pt_ga = 1 and/or yearly/monthly ticket = 1 (pt_butr and/or pt_bus = 1) Season ticket (coded) GA and/or pt_zeit = 1 and/or pt_route = 1 Season ticket (coded) (either or/and pt_butr,bus,route = 1)
Travel behaviour
Variables within Travel behaviour
Identification number of household Number of private parking spaces Rooms of accomodation Size of accommodation in square meter Sum of all reported trips in reporting period Number of reported days Average trip frequency per reported day Sum of reported trips by public transport (main mode) in reporting period Sum of reported trips by motorized transport (main mode) in reporting period Sum of reported trips by non-motorized transport (main mode) in reporting period Sum of reported trips by walking (main mode) in reporting period Sum of reported trips by cycling (main mode) in reporting period Sum of reported trips by other mean of transport (main mode) in reporting period Average trips by public transport per day in reporting period (t_oev/rep_day2) Average trips by motorized individual transport per day in reporting period (t_miv/rep_day2) Average trips by non-motorized individual transport per day in reporting period (t_lv/rep_day2) Average walking trips per day in reporting period (t_wal/rep_day2) Average bicycle trips per day in reporting period (t_cyc/rep_day2) Average trips by other means of transport in reporting period (t_son/rep_day2) Average working trips per day in reporting period Average education trips per day in reporting period Average shopping trips per day in reporting period Average business trips per day in reporting period Average leisure trips per day in reporting period Average private business trips per day in reporting period Average pick up/ drop off trips per day in reporting period
Index variables
Variables within Index variables
Identification number of household Household number Is the accommodation rented ("other" was in no case reported) Features: Garden Bank within 10min walking time (reported) Household number Person number Living area Trip number Trip number on that day Personal weighting factor to National Travel Survey 2000 (only Thurgau) Trip weighting factor (scaled at trip level) to National Travel Survey 2000 (only Thurgau)
Trip preparation
Variables within Trip preparation
Identification number of household School within 10min walking time (reported) When planned
Travel time
Variables within Travel time
Identification number of household Household number Is the accommodation rented ("other" was in no case reported) Kind of accomodation Features: Garden Kindergarden within 10min walking time (reported) Bank within 10min walking time (reported) Trip departure time adjusted Trip arrival time adjusted Sum of all travel times by transport mode in minutes Trip departure time Trip arrival time Door-to-door travel time (including waits) Sum of all travel times by transport mode in minutes (coded) Date Week of survey Day of week Time of departure (decimal system/ minute of the day) Time of arrival (decimal system/ minute of the day) Arrival on the next day Reported travel time
Travel time by mode
Variables within Travel time by mode
Identification number of household Kind of accomodation Walking time (reported) Cycling time (reported) Motorcycling time (reported) Car driver time (reported) Car passenger time (reported) Bus time (reported) Railroad time (reported) Other travel time (reported)
Purpose
Variables within Purpose
Identification number of household Features: Garden Features: Balcony Purpose coded as in Mobidrive Purpose coded as in city:mobil Purpose orginial coding Leisure purpose Other purpose Mode
Variables within Mode
Identification number of household Household number Features: Balcony Kindergarden within 10min walking time (reported) Main mode Main mode aggregated Main mode grouped
Spatial information
Variables within Spatial information
Identification number of household Household number Is the accommodation rented ("other" was in no case reported) Features: Balcony Features: Terrace Additional accomocation Kindergarden within 10min walking time (reported) Identification of trip Origin address id Origin address Origin postal code Origin Municipality Origin accuracy Origin x-coordinate X coordinate of home Origin y-coordinate Y coordinate of home Destination address id Destination address Destination postal code Destination Municipality Destination accuracy Destination x-coordinate Destination y-coordinate Trip destination Frequency of visit Trip abroad
Routing Variables within Routing
Household number Kindergarden within 10min walking time (reported) Doctor within 10min walking time (reported) Shortest time path time Shortest time path distance Shortest distance path time Shortest distance path distance Shortest distance path distance (coded) Shortest distance path distance (coded finer) Detour factor reported to crow-fly distance Detour factor reported to SDPD Detour factor sd to crow fly distance Detour factor st to crow fly distance Detour factor st to SDPD
Distances and speed
Variables within Distances and speed
Identification number of household Household number Features: Balcony School within 10min walking time (reported) Doctor within 10min walking time (reported) Bank within 10min walking time (reported) Walking distance in meter from parking space/ public transport stop to destination (reported) trip distance in meter (reported) Reported distance [km] Crow fly distance [km] Crow fly distance (coded) crow fly distance (coded finer) Reported speed Route distance aggregated (for analysis by ÖV/IV/Langsam/Sonstige)
Trip accompaniment
Variables within Trip accompaniment
Identification number of household Additional accomocation School within 10min walking time (reported) Household members travelling along Other persons travelling along Household member participating Other member participating HH member traveling along (coded) Other persons travelling along (coded) HH member participating (coded) Other member participating (coded) Group travelling along Group travelling along (coded) Group participating Group participating (coded) Dog travelling alongside, dog_o missings considered as "no" Dog travelling along, original
Round Trip
Variables within Round Trip
Household number Kindergarden within 10min walking time (reported) Round trip Variables Variable: Identification number of household
Location: Range of Valid Data Values: 1 to 105
Width: 11 Summary Statistics:
Minimum : 1
Maximum : 105
Mean : 53.626
Standard deviation : 30.414
Variable Format: numeric Variable: Household number
Location: Range of Valid Data Values: 1 to 110
Width: 11 Summary Statistics:
Minimum : 1
Maximum : 110
Mean : 55.768
Standard deviation : 31.965
Variable Format: numeric Variable: Number of household members
Location: Value Label Frequency Width: 11 1 . One 33
2 . Two 35
3 . Three 10
4 . Four 7
5 . Five 11
6 . Six 3
Range of Valid Data Values: 0 to 6
Summary Statistics:
Variable Format: numeric Variable: Number of adults
Location: Value Label Frequency Width: 11 1 . One 34
2 . Two 56
3 . Three 7
4 . Four 2
Range of Valid Data Values: 0 to 6
Summary Statistics:
Variable Format: numeric Variable: Number of children under 6
Location: Value Label Frequency Width: 11 0 . None 34
1 . One 1
Sysmiss . 64
Range of Valid Data Values: 0 to 6
Summary Statistics:
Variable Format: numeric Variable: Number of children under 12
Location: Value Label Frequency Width: 11 0 . None 29
1 . One 9
2 . Two 4
3 . Three 1
Sysmiss . 56
Range of Valid Data Values: 0 to 6
Summary Statistics:
Variable Format: numeric Variable: Number of children under 18
Location: Value Label Frequency Width: 11 0 . None 28
1 . One 12
2 . Two 7
3 . Three 4
Sysmiss . 48
Range of Valid Data Values: 0 to 6
Summary Statistics:
Variable Format: numeric Variable: Number of dogs
Location: Value Label Frequency Width: 11 0 . None 76
1 . One 16
2 . Two 1
Sysmiss . 6
Range of Valid Data Values: 0 to 6
Summary Statistics:
Variable Format: numeric Variable: Number of motorised Vehicles
Location: Value Label Frequency Width: 11 0 . None 9
1 . One 46
2 . Two 33
3 . Three 1
4 . Four 4
5 . Five 3
6 . Six 2
7 . Seven 1
Range of Valid Data Values: 0 to 7
Summary Statistics:
Variable Format: numeric Variable: Number of private parking spaces
Location: Value Label Frequency Width: 11 0 . None 7
1 . One 26
2 . Two 26
3 . Three 10
4 . Four 13
5 . Five 7
6 . Six 2
8 . 1
10 . 4
15 . 1
20 . 1
Sysmiss . 1
Range of Valid Data Values: 0 to 20
Summary Statistics:
Variable Format: numeric Variable: Rooms of accomodation
Location: Value Label Frequency Width: 20 2.5 . 8
3 . 8
3.5 . 5
4 . 14
4.5 . 9
5 . 13
5.5 . 8
6 . 12
6.5 . 9
7 . 5
7.5 . 1
8 . 5
9 . 1
10 . 1 Range of Valid Data Values: 2.5 to 10
Summary Statistics:
Variable Format: numeric Variable: Size of accommodation in square meter
Location: Value Label Frequency Width: 11 45 . 1
50 . 2
60 . 4
65 . 3
69 . 1
70 . 4
80 . 8
82 . 1
84 . 1
85 . 3
88 . 1
100 . 8
108 . 2
110 . 3 120 . 9
124 . 1
126 . 1
130 . 4
140 . 1
150 . 4
160 . 3
170 . 2
175 . 2
180 . 2
188 . 2
190 . 1
195 . 1
200 . 8
220 . 2
225 . 1 231 . 1
240 . 3
250 . 3
280 . 1
300 . 1
600 . 1
Sysmiss . 3
Range of Valid Data Values: 45 to 600
Summary Statistics:
Minimum : 45
Maximum : 600
Mean : 140.115
Standard deviation : 76.833
Variable Format: numeric Variable: Is the accommodation rented ("other" was in no case reported)
Location: Value Label Frequency Width: 8 0 . No 61
1 . Yes 36
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Kind of accomodation
Location: Value Label Frequency Width: 8 1 . Multi family house <7 units 13
2 . Multi family house >6 units 27
3 . Freestanding 40
4 . Duplex/Terrace 18
5 . School house 1
Range of Valid Data Values: 1 to 5
Summary Statistics:
Minimum : 1
Maximum : 5
Variable Format: numeric Variable: Features: Garden
Location: Value Label Frequency Width: 8 0 . No 26
1 . Yes 71
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Mean : 0.732
Standard deviation : 0.445
Variable Format: numeric Variable: Features: Balcony
Location: Value Label Frequency Width: 8 0 . No 44
1 . Yes 53
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Mean : 0.546
Standard deviation : 0.5
Variable Format: numeric Variable: Features: Terrace
Location: Value Label Frequency Width: 8 0 . No 54
1 . Yes 43
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Mean : 0.443
Standard deviation : 0.499
Variable Format: numeric Variable: Additional accomocation
Location: Value Label Frequency Width: 8 1 . Holiday home (apartment or house) 3
2 . Weekend home (apartment or house) 4
3 . Permanent camping ground 1
4 . Boat 1
Range of Valid Data Values: 0 to 4
Summary Statistics:
Minimum : 0
Maximum : 4
Variable Format: numeric Variable: School within 10min walking time (reported)
Location: Value Label Frequency Width: 8 0 . No 19
1 . Yes 74
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Kindergarden within 10min walking time (reported)
Location: Value Label Frequency Width: 8 0 . No 22
1 . Yes 71
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Doctor within 10min walking time (reported)
Location: Value Label Frequency Width: 8 0 . No 55
1 . Yes 38
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Bank within 10min walking time (reported)
Location: Value Label Frequency Width: 8 0 . No 59
1 . Yes 34
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Post within 10min walking time (reported)
Location: Value Label Frequency Width: 8 0 . No 37
1 . Yes 56
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Supermarket/grocery shop within 10min walking time (reported)
Location: Value Label Frequency Width: 8 0 . No 31
1 . Yes 62
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Bus stop within 10min walking time (reported)
Location: Value Label Frequency Width: 8 0 . No 11
1 . Yes 82
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Rail station within 10min walking time (reported)
Location: Value Label Frequency Width: 8 0 . No 65
1 . Yes 28
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Close relatives/friends within 10min walking time (reported)
Location: Value Label Frequency Width: 8 0 . No 39
1 . Yes 53
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Name of next public transport stop (bus/rail)
Location: Value Label Frequency Width: 50 Alters- und Pflegeheim . 2
Bahnhof . 1
Bahnhofplatz . 1
Bahnhofsplatz . 2
Banhaldestrasse . 1
Berlingen . 4
Brotegg . 1
Dettighofen . 3
Eisenwerk . 2
Flurhof . 1
Frauenfeld Stadtbus Staudenweg . 1
Frauenfeld Stadtbus Wellhauserweg . 1
Frauenfeld Talbach . 1
Freiestrasse . 1 General-Weber-Strasse . 1
HB Frauenfeld . 1
Hasenbühl . 1
Hauptbahnhof . 1
Herdern Post . 2
Homburg Euggerschwil . 1
Homburg Post . 2
Hüttwilen Post . 2
Im Moos . 1
Lanzenneunfern Post . 1
Lanzenneunforn Post . 1
Marktplatz . 1
Niederneunforn Post . 2
Nussbaumen Post . 1
Oberkirchstrasse . 1
Oberneunforn Dorf . 1 Oberneunforn Dorf/Post . 1
Oberneunforn Post . 1
Ochsen . 2
Postauto Herdern . 1
Postauto Oberneunforn Post . 1
Publicar . 1
Rosenberg . 1
Schaffhauserplatz . 2
Schweikhof . 1
Schönenhof . 2
Sonnmatt . 1
Sperrholz . 1
Spital . 2
Stadtbus Frauenfeld Sternwartenstr. 1
Staudenweg . 1
Sternwartstrasse . 2 Sternwartstrasse, Frauenfeld . 1
Talbach . 2
Talbach, Eibenstr. 1
Unterhörstetten . 1
Unterhörstetten Post . 1
Warth Breite/ Post/ Rohr . 1
Warth Dorf . 1
Warth Post . 1
Weiningen Post . 3
Zeughausstrasse . 1
im Moos . 1
Summary Statistics:
Variable Format: character Variable: Rent including additional costs per month (SFr.)
Location: Value Label Frequency Width: 11 0 . 5
300 . 1
500 . 1
700 . 1
750 . 1
800 . 2
810 . 1
900 . 1
920 . 1
1000 . 2
1020 . 1
1100 . 2
1115 . 1
1158 . 1 1185 . 1
1200 . 2
1225 . 1
1240 . 1
1250 . 1
1300 . 1
1350 . 1
1400 . 1
1490 . 1
1500 . 1
1600 . 1
1690 . 1
1700 . 1
1770 . 1
1840 . 1
2200 . 1 2500 . 1
Sysmiss . 60
Range of Valid Data Values: 0 to 2500
Summary Statistics:
Minimum : 0
Maximum : 2500
Mean : 1067
Standard deviation : 593.178
Variable Format: numeric Variable: "Eigenmietwert"/mortgage payment per month (SFr.)
Location: Value Label Frequency Width: 11 135 . 1
560 . 1
600 . 1
700 . 2
864 . 1
890 . 1
900 . 1
1000 . 2
1100 . 4
1200 . 3
1300 . 2
1450 . 1
1500 . 6
1600 . 2 1620 . 1
1700 . 1
1800 . 3
1900 . 3
1950 . 1
2000 . 3
2100 . 1
2500 . 3
2900 . 1
3000 . 1
3500 . 1
Sysmiss . 52
Range of Valid Data Values: 135 to 3500
Summary Statistics:
Minimum : 135
Maximum : 3500
Mean : 1552.532
Standard deviation : 670.547
Variable Format: numeric Variable: Household income
Location: Value Label Frequency Width: 11 1 . Up to 2000 SFR 1
2 . 2001 - 3000 SFR 4
3 . 3001 - 4000 SFR 5
4 . 4001 - 5000 SFR 7
5 . 5001 - 7500 SFR 29
6 . 7501 - 10000 SFR 18
7 . 10001+ SFR 24
Sysmiss . 11
Range of Valid Data Values: 1 to 7
Summary Statistics:
Variable Format: numeric Variable: X coordinate of home
Location: Range of Valid Data Values: 682819 to 719711
Width: 11 Summary Statistics:
Minimum : 682819
Maximum : 719711
Mean : 709332.273
Standard deviation : 5158.706
Variable Format: numeric Variable: Y coordinate of home
Location: Range of Valid Data Values: 264308 to 281526
Width: 11 Summary Statistics:
Minimum : 264308
Maximum : 281526
Mean : 271412.253
Standard deviation : 3742.681
Variable Format: numeric Variable: Person number
Location: Range of Valid Data Values: 1 to 247
Width: 11 Summary Statistics:
Minimum : 1
Maximum : 247
Variable Format: numeric Variable: Household number
Location: Range of Valid Data Values: 1 to 110
Width: 11 Summary Statistics:
Minimum : 1
Maximum : 110
Variable Format: numeric Variable: Residential location
Location: Value Label Frequency Width: 8 1 . Frauenfeld 99
2 . Seeruecken 131
Range of Valid Data Values: 1 to 2
Summary Statistics:
Minimum : 1
Maximum : 2
Variable Format: numeric Variable: Gender
Location: Value Label Frequency Width: 11 0 . Female 113
1 . Male 117
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Age of the person
Location: Value Label Frequency Width: 8 10 . 9
11 . 1
12 . 9
13 . 6
14 . 8
15 . 10
16 . 5
17 . 7
18 . 3
19 . 1
20 . 3
21 . 1
22 . 2
23 . 3 25 . 1
27 . 1
28 . 4
29 . 1
30 . 2
31 . 2
32 . 4
33 . 2
34 . 1
35 . 2
36 . 3
37 . 3
38 . 1
39 . 2
40 . 5
41 . 6 42 . 5
43 . 5
44 . 5
45 . 7
46 . 9
47 . 4
48 . 4
49 . 5
50 . 1
51 . 6
52 . 5
53 . 5
54 . 5
55 . 7
56 . 4
57 . 6 58 . 5
59 . 3
60 . 4
61 . 2
62 . 2
64 . 2
65 . 1
66 . 2
67 . 2
68 . 4
69 . 3
70 . 4
71 . 1
72 . 1
73 . 1
76 . 2 Range of Valid Data Values: 10 to 76
Summary Statistics:
Minimum : 10
Maximum : 76
Mean : 39.343
Standard deviation : 18.73
Variable Format: numeric Variable: Year of birth
Location: Range of Valid Data Values: 1927 to 1993
Width: 11 Summary Statistics:
Minimum : 1927
Maximum : 1993
Mean : 1963.657
Standard deviation : 18.73
Variable Format: numeric Variable: Life partner / long term relationship
Location: Value Label Frequency Width: 11 0 . No 87
1 . Yes 143
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Occupation
Location: Value Label Frequency Width: 8 1 . Pupil 48
2 . Student 6
3 . Apprentice 10
4 . Employed 106
5 . Housemaker 22
6 . Retired 20
7 . Unemployed 1
Range of Valid Data Values: 1 to 7
Summary Statistics:
Minimum : 1
Maximum : 7
Variable Format: numeric
Notes: Adjusted based on total number of working hours per week (n_o_wh), people have been assigned to employed who stated working hours Variable: Employement status (derived)
Location: Value Label Frequency Width: 8 1 . Full time 98
2 . Part time 32
3 . Other 96
Range of Valid Data Values: 1 to 3
Summary Statistics:
Minimum : 1
Maximum : 3
Variable Format: numeric
Notes: Based on n_o_wh (fulltime >36 hours, 37h>parttime<0h), pupil and student and all others = 3 Variable: Working: coded
Location: Value Label Frequency Width: 8 0 . Not working 100
1 . Working (full-time or part-time) 130
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Working status (reported)
Location: Value Label Frequency Width: 40 1 . Pupil 48
2 . Student 6
3 . Apprentice 10
4 . Employed 100
5 . Housemaker 22
6 . Retired 20
7 . Unemployed 1
Sysmiss . 23
Range of Valid Data Values: 1 to 7
Summary Statistics:
Variable Format: numeric Variable: Occupation of the person (reported)
Location: Value Label Frequency Width: 50 Abteilugsleiterin Lohnbüro Kt. TG . 1
Abteilungsleiter Informatik . 1
Analytiker/ Programmierer . 1
Architekt . 3
Arzt . 1
Ausbilder . 1
Ausbildung Sozialarbeiterin . 1
Automatiker . 1
Automechaniker . 1
Bauingenieur . 1
Bauingenieur ETH . 1
Bauleiter . 1
Beamter . 1
Berater, Zeitmanager . 1 Bereichsleiter Geomatik . 1
Betreuerin . 1
Betriebsdisponent . 1
Betriebsfachmann . 1
Bäckerin . 1
Bäuerin . 1
Bürofachfrau . 1
Computer System Planer . 1
Damenschneiderin . 1
Dipl. Bauingenieur HTL . 1
Divisionsleiter . 1
Elektro Monteur . 1
Elektro Techniker . 1
Elektromonteur . 1
Fabrikarbeiter . 1
Fachangestellte Gesundheit . 1 Facherin . 1
Fachspezialist SBB . 1
Filialleiterin . 1
Frauenärztin . 1
Gemeindeschreiberin . 1
Generalsekretär . 1
Geschäftsfrau . 1
Geschäftsführer . 1
Geschäftsleiter . 1
Ground-Operations Manager . 1
Grundbuchverwalter . 1
Hausfrau . 20
Hausfrau, Pflegepersonal . 1
Hauswart.Schreiner . 1
Heilpädagogik . 1
Hochbauzeichnerin . 1 Hotelfachfrau . 1
Informatiker . 2
Ing . 1
Ing (HTL) . 1
Ingenieur . 1
Innenausbauzeichnerin . 1
Innendekorationsnäherin . 1
Innendekoratorin . 1
Instruktor VBS . 1
Kantonsschullehrer . 1
Kantonsschüler . 1
Kauffrau . 2
Kaufmann . 2
Kaufmännische Angestellte . 7
Kaufmännische Sachbearbeiterin . 1
Kaufmännischer Angestellter . 3 Kindergärtnerin . 3
Kinderkrankenschwester . 1
Koch . 1
Koch/Kaufmännischer Angestellte . 1
Kommunikations-Berater . 1
Konstruktionsschlosser . 1
Krankenschwester . 1
Kursleiterin Yoga . 1
Laborant . 1
Lagerist . 1
Landschaftsgärtner . 1
Landwirt . 5
Landwirtin . 1
Landwirtin, Gärtnerin . 1
Lehrerin . 3
Lehrling . 2 Logopädin . 1
Lokführer . 1
Malerin . 1
Metallbauschlosser . 1
Metzger . 1
Monteur . 1
Müller . 1
Operationsschwester . 1
Personalberatung . 1
Pilot . 1
Polizist . 1
Portefeuiller . 1
Praxisassistentin . 1
Primarlehrer . 1
Psychiatrieschwester . 1
Publizist . 1 Qualitätsmanager . 2
Reinigungsunternehnerin . 1
Religionslehrerin, Klavierlehrerin . 1
Rückversicherungs-Underwriter . 1
Sachbearbeiter . 2
Sachbearbeiterin . 1
Schreiner . 4
Schreinerin . 2
Schulhausabwart . 1
Schüler . 41
Schülerin . 6
Sekretarin . 1
Sekretärin . 3
Sekretärin (Landwirtschaft) . 1
Sekundarlehrerin phil 2 . 1
Service-Monteur . 1 Servicefachangestellte . 2
Software supporter . 1
Sozialdiakonischer Mitarbeiter . 1
Sozialdienst . 1
Sozialpädagoge . 1
Sozialpädagogin . 1
Stahlbaukonstrukteur . 1
Student . 4
Studentin ETH . 1
Systemadministrator . 1
Techniker . 1
Typograph . 1
Verkäufer . 1
Verkäuferin . 3
Werklehrerin . 1
Werkmeister . 1 Zimmermann . 1
dipl. Elektroingenieur . 1
Summary Statistics:
Variable Format: character Variable: Number of working hours per week
Location: Value Label Frequency Width: 20 0 . 2
8 . 3
10 . 1
15 . 1
16 . 1
18 . 2
20 . 5
21 . 1
22 . 3
23 . 1
25 . 6
26 . 3
26.5 . 1
27 . 1 28 . 3
29 . 3
30 . 9
31 . 2
32 . 2
33 . 3
33.6 . 1
34 . 2
35 . 11
36 . 9
37 . 3
38 . 3
38.4 . 1
40 . 21
41 . 3
42 . 18 42.5 . 2
43 . 10
44 . 2
45 . 10
46 . 3
47 . 1
48 . 4
50 . 10
52 . 2
55 . 2
60 . 7
65 . 1
70 . 1
78 . 2
80 . 1
Sysmiss . 47 Range of Valid Data Values: 0 to 80
Summary Statistics:
Minimum : 0
Maximum : 80
Mean : 38.178
Standard deviation : 12.574
Variable Format: numeric Variable: Working hour schedule
Location: Value Label Frequency Width: 11 1 . Flexible work time 67
2 . Non-flexible work time 101
Changing shifts with non-flexible 3 . 12 work time
4 . Other 6
Sysmiss 44 .
Range of Valid Data Values: 1 to 4
Summary Statistics:
Variable Format: numeric Variable: Other working time regulations
Location: Value Label Frequency Width: 50 Hausfrau . 1
Jahresarbeitszeit . 1
Lehre . 1
Studium . 1
sehr unregelmässig . 1
Summary Statistics:
Variable Format: character Variable: City of working place
Location: Value Label Frequency Width: 50 Balterswil . 1
Basadingen . 1
Berlingen . 5
Bern . 1
Bülach . 1
D - München . 1
D- Gailingen . 1
Dettighofen . 3
Diessenhofen . 1
Dübendorf . 2
Ermatingen . 1
Felben-Wellhausen . 1
Frauenfeld . 57
Gossau (SG) . 1 Herdern . 3
Hombug . 1
Homburg . 7
Hörhausen . 1
Hörstetten . 1
Hüttwilen . 11
Islikon . 1
Itingen . 1
Kleinandelfingen . 2
Kloten . 1
Kreuzlingen . 4
Lanzenneunforn . 4
Lengwil . 1
Luzern . 1
Märstetten . 1
Müllheim . 1 Münchwilen (AG) . 1
Niederneunforn . 1
Oberneunforn . 10
Ossingen . 5
Pfyn . 1
Raum Ostschweiz . 2
Regensdorf . 1
Romont (FR) . 1
Schaffhausen . 1
St.Gallen . 2
Steckborn . 4
Trüttlikon . 1
Tägerwilen . 2
Unterhörstetten . 1
Wagenhausen . 1
Wallisellen . 1 Warth . 1
Warth (Karthause) . 1
Weinfelden . 2
Weiningen . 1
Weiningen (TG) . 1
Wetzikon (ZH) . 1
Wigoltingen . 1
Winterthur . 14
Wängi . 1
Zihlschlacht . 1
Zug . 1
Zurzach . 1
Zürich . 15
Zürich Altstetteb . 1
Zürich Flughafen . 1
Zürich-Altsteten . 1 variabel . 2
zu Hause . 1
Summary Statistics:
Variable Format: character Variable: Zip code of working place
Location: Value Label Frequency Width: 11 0 . 1
1680 . 1
3003 . 1
5330 . 1
6000 . 1
6300 . 1
8000 . 7
8005 . 2
8006 . 1
8034 . 1
8037 . 1
8045 . 1
8048 . 1
8050 . 1 8057 . 1
8058 . 2
8093 . 1
8105 . 1
8200 . 1
8253 . 1
8254 . 1
8259 . 1
8266 . 4
8267 . 5
8272 . 1
8274 . 2
8280 . 4
8304 . 1
8363 . 1
8400 . 11 8402 . 1
8404 . 1
8408 . 1
8451 . 2
8475 . 4
8500 . 58
8505 . 4
8506 . 5
8507 . 1
8508 . 9
8524 . 1
8525 . 2
8526 . 8
8532 . 5
8535 . 3
8536 . 11 8546 . 1
8552 . 1
8555 . 1
8556 . 1
8560 . 1
8570 . 2
8574 . 1
8588 . 1
8600 . 2
8620 . 1
8680 . 1
9000 . 2
9200 . 1
9542 . 1
9545 . 1
Sysmiss . 37 Range of Valid Data Values: 0 to 9545
Summary Statistics:
Minimum : 0
Maximum : 9545
Mean : 8299.13
Standard deviation : 944.783
Variable Format: numeric Variable: Parking space at work / education place
Location: Value Label Frequency Width: 11 0 . No 42
1 . Yes 105
Sysmiss . 83
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Free parking at working place
Location: Value Label Frequency Width: 11 -1 . No parking place 42
0 . No 21
1 . Yes 82
Sysmiss . 85
Range of Valid Data Values: -1 to 1
Summary Statistics:
Variable Format: numeric Variable: Parking charge (CHF)
Location: Value Label Frequency Width: 11 -1 . No praking place 42
0 . 2
20 . 2
30 . 3
50 . 2
60 . 3
80 . 1
100 . 2
150 . 1
Sysmiss . 172
Range of Valid Data Values: -1 to 150
Summary Statistics:
Variable Format: numeric Variable: Additional occupation
Location: Value Label Frequency Width: 11 0 . No 111
1 . Yes 50
Sysmiss . 69
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Hours of additional occupation
Location: Value Label Frequency Width: 11 0 . 178
1 . 3
2 . 12
3 . 3
4 . 3
5 . 5
6 . 2
8 . 6
9 . 2
10 . 5
12 . 1
15 . 1
16 . 3
20 . 1 22 . 1
25 . 1
30 . 1
Sysmiss . 2
Range of Valid Data Values: 0 to 30
Summary Statistics:
Variable Format: numeric
Notes: Recoded the reported information for single occupation persons Variable: Place of additional occupation
Location: Value Label Frequency Width: 50 Berlingen . 3
Dettighofen . 2
Eschenz . 1
Frauenfeld . 19
Gachnang . 1
Herdern . 2
Homburg . 1
Kloten . 1
Lanzenneunforn . 3
Oberneunforn . 5
Oberwinterthur . 1
Region Frauenfeld . 1
Schweiz . 1
Tann . 1 Weiningen (TG) . 1
Winterthur . 2
variabel . 4
variabel TG . 1
Summary Statistics:
Variable Format: character Variable: Zip code of place of additional occupation
Location: Value Label Frequency Width: 11 8264 . 1
8267 . 3
8302 . 1
8400 . 3
8500 . 19
8505 . 2
8506 . 2
8508 . 2
8526 . 5
8532 . 1
8535 . 2
8547 . 1
8632 . 1
Sysmiss . 187 Range of Valid Data Values: 0 to 8632
Summary Statistics:
Variable Format: numeric Variable: Regular commitments
Location: Value Label Frequency Width: 8 0 . No 65
1 . Yes 165
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Regular commitments: club
Location: Value Label Frequency Width: 8 0 . No 107
1 . Yes 123
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Regular commitments: public authority
Location: Value Label Frequency Width: 8 0 . No 215
1 . Yes 15
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Regular commitments: voluntary service, political party etc.
Location: Value Label Frequency Width: 8 0 . No 211
1 . Yes 19
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Regular commitments: commitment to relatives
Location: Value Label Frequency Width: 8 0 . No 216
1 . Yes 14
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Regular commitments: further education
Location: Value Label Frequency Width: 8 0 . No 204
1 . Yes 26
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Regular commitments: other (see commit_o for details)
Location: Value Label Frequency Width: 8 0 . No 199
1 . Yes 31
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Other commitments
Location: Value Label Frequency Width: 50 Bienenzucht, Waldpflege . 1
Feuerwehr . 2
Fitness . 2
Frauentreff . 1
Gitarrenunterricht . 1
Gottesdienst . 1
Joga . 1
Kino . 1
Klavier,Pferd . 1
Klavierunterricht . 2
Massage . 1
Musikschule . 1
Musikstunde . 1
Musikunterricht . 1 Pferdepflege . 1
RAV . 1
Rot-kreuz-fahrten . 1
Sport . 3
Tennis . 4
Therapie . 1
Tierbeobachtung . 1
Yoga . 1
kirchlicher Unterricht . 1
Summary Statistics:
Variable Format: character Variable: Education (original coding)
Location: Question: Of the following, which schools/universities you are graduated from? (Multiple options) 1. Primary school 2. Secondary Width: 50 school 3. Middle/High school 4. Apprentice school 5. Applied university 6. University 7. Other
Value Label Frequency
1 . 27
1.2 . 31
1.2.3 . 8
1.2.3.4 . 4
1.2.3.4.5 . 2
1.2.3.5 . 4
1.2.3.6 . 7
1.2.3.7 . 1
1.2.4 . 100
1.2.4. 1
1.2.4.5 . 12
1.2.4.7 . 2 1.2.5 . 2
1.3 . 3
1.3.4 . 5
1.3.5 . 2
1.3.6 . 4
1.7 . 1
Summary Statistics:
Variable Format: character Variable: School education
Location: Value Label Frequency Width: 8 1 . Primary 29
2 . Secondary school 151
3 . Highschool, Cantonal school 38
Range of Valid Data Values: 1 to 3
Summary Statistics:
Minimum : 1
Maximum : 3
Variable Format: numeric Variable: Highest degree achieved
Location: Value Label Frequency Width: 8 0 . No degree 64
1 . Apprenticeship school 111
2 . Technical college 22
3 . University 11
4 . Other 10
Range of Valid Data Values: 0 to 4
Summary Statistics:
Minimum : 0
Maximum : 4
Variable Format: numeric Variable: Other education
Location: Value Label Frequency Width: 50 1 . 1
2 Jahre Haushaltlehrjahr . 1
3.Klasse . 1
4 . 3
5.Klasse . 1
HTL Fachausweis . 1
Handelsschule . 2
Handelsschule/Sachbearbeiter/Beratung 1 .
Instruktorenschule . 1
Supervisoren-Ausbildung . 1
Techniker TS . 1
Weiterbildungen . 1
Summary Statistics:
Variable Format: character Variable: Licence: Car
Location: Value Label Frequency Width: 8 0 . No 67
1 . Yes 163
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Licence: Lorry, Bus
Location: Value Label Frequency Width: 8 0 . No 224
1 . Yes 6
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Licence: Motor cycle
Location: Value Label Frequency Width: 8 0 . No 168
1 . Yes 62
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Licence: Moped
Location: Value Label Frequency Width: 8 0 . No 101
1 . Yes 129
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Number of licences
Location: Value Label Frequency Width: 8 0 . None 55
1 . One 47
2 . Two 73
3 . Three 53
4 . Four 2
Range of Valid Data Values: 0 to 4
Summary Statistics:
Minimum : 0
Maximum : 4
Variable Format: numeric Variable: Reasons for having no licence
Location: Value Label Frequency Width: 20 0 . 3
1 . Environmental concerns 1
No need (public transport is 2 . 3 sufficient)
3 . Health problems 0
License has been detrected due to 4 . 5 other reasons
5 . Too young 46
6 . Cost reasons 1
Environmental concerns and no 7 . 2 need
Environmental concerns and cost 8 . 1 reasons
Environ. concerns, no need and 9 . 1 cost reasons
10 . No need and cost reasons 2
Sysmiss 165 . Range of Valid Data Values: 0 to 10
Summary Statistics:
Variable Format: numeric Variable: Affiliation to carsharing organisation
Location: Value Label Frequency Width: 11 0 . No 198
1 . Yes 2
Sysmiss . 30
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Car availability
Location: Value Label Frequency Width: 11 0 . No 38
1 . Yes 165
Sysmiss . 27
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Car availability by taking into account age (<18years => 0)
Location: Value Label Frequency Width: 8 0 . No 70
1 . Yes 160
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Car ownership (car_kav = 1) by taking into account age (<18year => 0)
Location: Value Label Frequency Width: 8 0 . No 104
1 . Yes 126
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Kind of car availability (adjustmented)
Location: Value Label Frequency Width: 30 0 . 10
1 . I own a car 127
2 . So. in my houshold owns a car 31
3 . A friend or relative owns a car 2
I have access to a company car, 4 . 4 which I can use privately
I have access to a company car, 5 . 0 which I can't use privately
6 . I use carsharing 1
I use other transport opportunities, 7 . 0 ie for disabled people
8 . Other car availability 0
Sysmiss 55 .
Range of Valid Data Values: 0 to 8
Summary Statistics:
Variable Format: numeric Variable: Home to main parking space: Time (in minutes)
Location: Value Label Frequency Width: 11 0 . 45
1 . 21
2 . 8
5 . 2
8 . 2
Sysmiss . 152
Range of Valid Data Values: 0 to 8
Summary Statistics:
Variable Format: numeric Variable: Home to main parking space: Distance (in meters)
Location: Value Label Frequency Width: 11 0 . 57
2 . 4
3 . 2
5 . 11
6 . 1
10 . 18
12 . 1
20 . 10
40 . 2
50 . 2
60 . 1
100 . 2
500 . 1
Sysmiss . 118 Range of Valid Data Values: 0 to 500
Summary Statistics:
Variable Format: numeric Variable: Season ticket for public transport
Location: Value Label Frequency Width: 50 0 . 18
1 . 32
1.5.7 . 1
1.7 . 1
2 . 63
2.3 . 1
2.3.4 . 2
2.3.6 . 1
2.3.7 . 1
2.4 . 1
2.5 . 4
2.6 . 10
2.6.7 . 1
2.7 . 2 2.8 . 3
4 . 1
4.5 . 1
4.6 . 1
6 . 4
7 . 3
8 . 11
Summary Statistics:
Variable Format: character Variable: General season ticket for public transport in Switzerland (GA)
Location: Value Label Frequency Width: 11 0 . No 132
1 . Yes 33
Sysmiss . 65
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Halbtax
Location: Value Label Frequency Width: 11 0 . No 76
1 . Yes 89
Sysmiss . 65
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Gleis 7
Location: Value Label Frequency Width: 11 0 . No 160
1 . Yes 5
Sysmiss . 65
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Yearly or monthly ticket for train/bus (i.e. Ostwind)
Location: Value Label Frequency Width: 11 0 . No 159
1 . Yes 6
Sysmiss . 65
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Yearly or monthly ticket for city bus Frauenfeld
Location: Value Label Frequency Width: 11 0 . No 159
1 . Yes 6
Sysmiss . 65
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Multiple ticket (regularly)
Location: Value Label Frequency Width: 11 0 . No 148
1 . Yes 17
Sysmiss . 65
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Route pass
Location: Value Label Frequency Width: 11 0 . No 156
1 . Yes 9
Sysmiss . 65
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Other season ticket
Location: Value Label Frequency Width: 11 0 . No 151
1 . Yes 14
Sysmiss . 65
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Yearly or monthly ticket (if oev_butr AND/OR pt_bus = 1)
Location: Value Label Frequency Width: 11 0 . No 147
1 . Yes 19
Sysmiss . 64
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Season ticket (coded) pt_ga = 1 and/or yearly/monthly ticket = 1 (pt_butr and/or pt_bus = 1)
Location: Value Label Frequency Width: 11 0 . No 118
1 . Yes 47
Sysmiss . 65
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Season ticket (coded) GA and/or pt_zeit = 1 and/or pt_route = 1
Location: Value Label Frequency Width: 8 0 . No 111
1 . Yes 54
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Season ticket (coded) (either or/and pt_butr,bus,route = 1)
Location: Value Label Frequency Width: 8 0 . No 159
1 . Yes 6
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: City where grown up 1
Location: Value Label Frequency Width: 50 Aadorf . 1
Alten . 1
Altendorf . 1
Amerika . 1
Amlikon . 1
Amriswil . 2
Andelfingen . 2
Baar . 1
Balterswil . 1
Bangkok . 1
Berlin . 1
Berlingen . 7
Berneck . 1
Bertschikon . 1 Biberist . 1
Bischofszell . 1
Bommen . 1
Brugg . 1
Buch bei Frauenfeld . 1
Chur . 1
Dettighofen . 5
Deutschland . 4
Deutschland, Assling . 1
Dietikon . 1
Dorf . 1
Dübendorf . 1
Ebnat-Kappel . 1
Eglisau . 3
Erlen . 1
Ermatingen . 3 Felben-Wellhausen . 6
Feuerthalen . 1
Fimmelsberg-Bissegg . 1
Fimmelsberg/Bissegg . 1
Fischbach . 1
Fischingen . 1
Frauenfeld . 35
Fällanden . 1
Gossau (SG) . 2
Grosshöchstetten . 1
Hagenbuch . 1
Herdern . 3
Herisau . 1
Hettlingen . 1
Homburg . 6
Hüttwilen . 2 Indien . 1
Kirchberg (SG) . 1
Kleinandelfingen . 1
Klosters . 1
Kreuzlingen . 1
Lanzenneunforn . 3
Locarno . 1
Luthern . 1
Luzern . 2
Magden . 1
Mammern . 1
Matzingen . 1
Meilen . 1
Mullheim . 1
Mumbai INDIEN . 1
Müllheim . 1 NL - Rotterdam . 1
Niederbuchsiten . 1
Niederbüren . 1
Niederneunforn . 6
Oberflachs . 1
Oberglatt . 2
Oberneunforn . 8
Oberthal . 1
Oberönz . 1
Orsières . 1
Ottoberg . 1
Pany . 3
Pfyn . 2
Rapperswil (SG) . 1
Reckenwil . 1
Rheinfelden . 1 Rheinklingen . 1
Rorschach . 1
Rümlang . 1
Schaffhausen . 2
Schlattingen . 1
Schottikon . 1
Seewen . 1
Sellenbüren . 1
Seuzach . 1
Sirnach . 1
St.Gallen . 3
Steckborn . 1
Thal . 1
Trüttlikon . 3
Turgi . 1
Tuttwil . 1 Tägermoos . 1
Tägerwilen . 2
Uetikon am See . 1
Umiken . 1
Ungarn . 1
Unterhörstetten . 1
Uzwil . 1
Waldi . 1
Waldshut (DE) . 1
Warth . 2
Wattenwil . 1
Wattwil . 3
Weinfelden . 1
Weiningen (TG) . 2
Wettingen . 2
Wiesendangen . 1 Wil (SG) . 2
Wilen bei Neunforn . 1
Winterthur . 8
Wittenbach . 1
Würenlingen . 1
Zürich . 10
Summary Statistics:
Variable Format: character Variable: City where grown up 2
Location: Value Label Frequency Width: 50 Aadorf . 1
Affoltern am Albis . 1
Andwil (SG) . 1
Berlin . 1
Berlingen . 1
Bottighofen . 1
Bubikon . 3
Derendingen . 1
Diepoldsau . 1
Eglisau . 1
Eschlikon . 4
Felben-Wellhausen . 1
Frauenfeld . 4
Goldach . 1 Gränichen AG . 1
Herdern . 3
Homburg . 1
Hüttwilen . 4
Islikon . 1
Kreuzlingen . 1
Lengnau (AG) . 1
Niederneunforn . 1
Oberneunforn . 1
Oerlingen . 1
Reinach (AG) . 1
Riedt . 1
Schöfflisdorf . 1
St.Gallen . 1
Trüttlikon . 1
Tuttwil . 1 Uesslingen . 1
Urdorf . 1
Visp . 1
Wattwil . 1
Wetzikon (ZH) . 1
Wimmis . 1
Winterthur . 3
Zürich . 3
üsslingen . 1
Summary Statistics:
Variable Format: character Variable: City where grown up 3 Location: Value Label Frequency Width: 50 Berlingen . 2
Bürglen (TG) . 1
Frauenfeld . 8
Gossau (SG) . 1
Lanzenneunforn . 3
Matzingen . 1
Niederglatt . 1
Oberneunforn . 1
Schaffhausen . 1
Siegershausen . 1
Winterthur . 1
Zürich . 1
üssingen . 1
Summary Statistics:
Variable Format: character Variable: Zip code where grown up 1
Location: Value Label Frequency Width: 11 1937 . 1
3363 . 1
3506 . 1
3665 . 1
4310 . 1
4312 . 1
4562 . 1
4606 . 1
4626 . 1
5108 . 1
5200 . 1
5222 . 1
5300 . 1
5303 . 1 5430 . 2
6000 . 2
6156 . 1
6340 . 1
6423 . 1
6600 . 1
7000 . 1
7243 . 3
7250 . 1
8000 . 8
8004 . 1
8038 . 1
8047 . 1
8117 . 1
8143 . 1
8153 . 1 8154 . 2
8193 . 3
8200 . 2
8245 . 1
8255 . 1
8259 . 1
8265 . 1
8266 . 1
8267 . 7
8272 . 3
8274 . 2
8280 . 1
8352 . 1
8355 . 1
8362 . 1
8370 . 1 8376 . 1
8400 . 7
8442 . 1
8450 . 2
8451 . 1
8453 . 2
8458 . 1
8472 . 1
8500 . 35
8505 . 7
8506 . 3
8507 . 1
8508 . 8
8514 . 2
8515 . 1
8523 . 1 8524 . 4
8525 . 8
8526 . 7
8532 . 4
8535 . 3
8536 . 2
8537 . 1
8542 . 1
8544 . 1
8552 . 6
8555 . 2
8558 . 1
8560 . 1
8564 . 1
8570 . 1
8580 . 2 8586 . 1
8600 . 1
8640 . 1
8706 . 1
8707 . 1
8953 . 1
9000 . 2
9010 . 1
9100 . 1
9200 . 2
9220 . 1
9240 . 1
9246 . 1
9303 . 1
9400 . 1
9425 . 1 9442 . 1
9500 . 1
9501 . 1
9531 . 1
9533 . 1
9546 . 1
9548 . 1
9630 . 3
9642 . 1
Sysmiss . 12
Range of Valid Data Values: 1937 to 9642
Summary Statistics:
Minimum : 1937
Maximum : 9642
Mean : 8152.812
Standard deviation : 1190.544
Variable Format: numeric Variable: Zip code where grown up 2
Location: Value Label Frequency Width: 11 3752 . 1
3930 . 1
4552 . 1
5429 . 1
5722 . 1
5734 . 1
8000 . 2
8052 . 1
8165 . 1
8193 . 1
8267 . 1
8280 . 1
8355 . 1
8360 . 4 8400 . 3
8403 . 1
8461 . 1
8500 . 4
8508 . 1
8524 . 3
8525 . 1
8526 . 1
8535 . 3
8536 . 4
8546 . 1
8552 . 1
8566 . 1
8586 . 1
8606 . 1
8608 . 2 8621 . 1
8902 . 1
8910 . 1
9000 . 1
9204 . 1
9444 . 1
9546 . 1
9630 . 1
Sysmiss . 175
Range of Valid Data Values: 3752 to 9630
Summary Statistics:
Minimum : 3752
Maximum : 9630
Mean : 8148.073
Standard deviation : 1236.54
Variable Format: numeric Variable: Zip code where grown up 3
Location: Value Label Frequency Width: 11 8000 . 1
8200 . 1
8267 . 2
8404 . 1
8500 . 7
8506 . 3
8524 . 1
8526 . 1
8573 . 1
8598 . 1
9200 . 1
9240 . 1
9548 . 1
9575 . 1 Sysmiss . 207
Range of Valid Data Values: 8000 to 9575
Summary Statistics:
Variable Format: numeric Variable: Starting year of residence in canton Thurgau
Location: Value Label Frequency Width: 11 1927 . 2
1932 . 1
1934 . 1
1936 . 2
1938 . 1
1941 . 1
1945 . 3
1946 . 3
1947 . 2
1948 . 2
1950 . 2
1951 . 2
1952 . 1
1954 . 4 1955 . 2
1956 . 2
1957 . 4
1958 . 9
1959 . 3
1960 . 4
1961 . 4
1962 . 2
1963 . 2
1964 . 4
1965 . 3
1966 . 1
1967 . 4
1968 . 4
1969 . 1
1970 . 3 1971 . 5
1972 . 2
1973 . 4
1974 . 2
1975 . 3
1977 . 1
1978 . 5
1979 . 1
1980 . 4
1981 . 5
1982 . 1
1983 . 4
1984 . 2
1985 . 5
1986 . 9
1987 . 12 1988 . 18
1989 . 6
1990 . 9
1991 . 13
1992 . 7
1993 . 10
1994 . 2
1995 . 1
1996 . 2
1997 . 3
1998 . 1
2000 . 7
2001 . 2
2003 . 5
Range of Valid Data Values: 1927 to 2003
Summary Statistics:
Minimum : 1927
Maximum : 2003 Mean : 1976.735
Standard deviation : 17.307
Variable Format: numeric Variable: Starting year of residence in the current town
Location: Value Label Frequency Width: 11 1932 . 1
1934 . 1
1938 . 1
1941 . 1
1948 . 1
1950 . 1
1951 . 1
1952 . 1
1954 . 1
1956 . 1
1957 . 2
1958 . 5
1959 . 1
1960 . 3 1962 . 2
1963 . 1
1964 . 3
1965 . 1
1968 . 4
1970 . 5
1971 . 2
1972 . 2
1973 . 6
1974 . 1
1975 . 1
1977 . 1
1978 . 5
1979 . 5
1980 . 3
1981 . 5 1982 . 1
1983 . 3
1984 . 2
1985 . 7
1986 . 11
1987 . 14
1988 . 15
1989 . 11
1990 . 6
1991 . 7
1992 . 5
1993 . 10
1994 . 4
1995 . 12
1996 . 16
1997 . 1 1998 . 4
1999 . 2
2000 . 15
2001 . 8
2002 . 2
2003 . 6
Range of Valid Data Values: 1932 to 2003
Summary Statistics:
Minimum : 1932
Maximum : 2003
Mean : 1984.948
Standard deviation : 14.214
Variable Format: numeric Variable: Starting year of residence in the current dwelling
Location: Value Label Frequency Width: 11 1938 . 1
1948 . 1
1954 . 1
1958 . 2
1960 . 3
1963 . 1
1968 . 2
1971 . 3
1972 . 2
1973 . 4
1974 . 6
1975 . 2
1977 . 1
1978 . 3 1980 . 2
1981 . 6
1982 . 1
1983 . 3
1984 . 2
1985 . 3
1986 . 10
1987 . 11
1988 . 8
1989 . 13
1990 . 11
1991 . 6
1993 . 12
1994 . 12
1995 . 10
1996 . 27 1997 . 3
1998 . 8
1999 . 2
2000 . 20
2001 . 12
2002 . 9
2003 . 7
Range of Valid Data Values: 1938 to 2003
Summary Statistics:
Minimum : 1938
Maximum : 2003
Mean : 1990.057
Standard deviation : 10.921
Variable Format: numeric Variable: Number of residence moves since 1993
Location: Value Label Frequency Width: 11 0 . 122
1 . 60
2 . 22
3 . 18
4 . 1
6 . 1
Sysmiss . 6
Range of Valid Data Values: 0 to 6
Summary Statistics:
Variable Format: numeric Variable: Sum of all reported trips in reporting period
Location: Value Label Frequency Width: 11 59 . 1
62 . 1
69 . 1
70 . 2
73 . 1
74 . 1
76 . 1
78 . 1
79 . 2
81 . 2
84 . 1
85 . 2
86 . 1
88 . 1 89 . 1
91 . 3
92 . 1
95 . 2
97 . 2
98 . 2
99 . 1
102 . 4
105 . 1
106 . 3
108 . 1
109 . 1
110 . 1
111 . 3
112 . 2
113 . 1 114 . 2
115 . 1
116 . 2
118 . 1
120 . 2
122 . 3
124 . 1
125 . 3
127 . 1
128 . 2
129 . 1
130 . 2
131 . 3
132 . 1
133 . 3
134 . 1 135 . 4
136 . 2
137 . 1
138 . 3
140 . 1
141 . 2
142 . 1
143 . 1
144 . 3
145 . 4
146 . 5
148 . 4
149 . 5
150 . 1
151 . 1
152 . 2 153 . 1
154 . 1
155 . 2
159 . 2
160 . 3
161 . 1
162 . 3
163 . 3
164 . 1
165 . 3
166 . 4
167 . 2
169 . 1
170 . 1
171 . 2
172 . 2 173 . 2
175 . 2
176 . 3
178 . 1
179 . 1
180 . 1
181 . 1
182 . 1
183 . 2
184 . 2
185 . 3
186 . 3
187 . 1
189 . 2
190 . 1
191 . 1 192 . 1
193 . 2
194 . 1
195 . 2
196 . 1
198 . 1
201 . 2
202 . 1
205 . 2
206 . 3
207 . 3
211 . 1
212 . 1
213 . 1
218 . 1
221 . 1 223 . 2
228 . 1
230 . 1
231 . 2
233 . 2
236 . 2
239 . 2
240 . 1
243 . 2
252 . 1
253 . 1
257 . 1
259 . 1
262 . 1
264 . 1
267 . 1 268 . 1
270 . 1
274 . 1
289 . 1
297 . 1
301 . 1
324 . 1
338 . 1
344 . 1
Range of Valid Data Values: 59 to 344
Summary Statistics:
Minimum : 59
Maximum : 344
Mean : 159.926
Standard deviation : 54.133
Variable Format: numeric Variable: Number of reported days
Location: Value Label Frequency Width: 11 21 . 1
23 . 1
28 . 19
29 . 2
31 . 1
32 . 2
33 . 3
34 . 4
35 . 22
36 . 4
37 . 2
38 . 5
39 . 6
40 . 11 41 . 12
42 . 135
Range of Valid Data Values: 21 to 42
Summary Statistics:
Variable Format: numeric Variable: Average trip frequency per reported day
Location: Value Label Frequency Width: 11 1.79487 . 1
1.92683 . 1
1.92857 . 1
2 . 1
2.02381 . 1
2.07317 . 1
2.14634 . 1
2.17143 . 1
2.19048 . 1
2.21429 . 1
2.25 . 1
2.2619 . 1
2.33333 . 1
2.35484 . 1 2.4 . 1
2.42857 . 3
2.4359 . 1
2.45714 . 1
2.45946 . 1
2.46429 . 1
2.46875 . 1
2.51282 . 1
2.52381 . 2
2.54286 . 1
2.55 . 1
2.59524 . 1
2.64286 . 1
2.66667 . 1
2.67647 . 1
2.69048 . 1 2.71429 . 1
2.7381 . 1
2.77143 . 1
2.775 . 1
2.78571 . 1
2.80952 . 1
2.82857 . 1
2.84375 . 1
2.84615 . 1
2.85714 . 1
2.90476 . 2
2.93939 . 1
2.95238 . 1
2.97619 . 2
3.08571 . 1
3.09524 . 2 3.11905 . 3
3.14286 . 1
3.16667 . 1
3.2 . 1
3.21429 . 2
3.225 . 1
3.2381 . 1
3.2619 . 1
3.26471 . 1
3.28571 . 2
3.29268 . 1
3.29412 . 1
3.35 . 1
3.35714 . 1
3.36585 . 1
3.42857 . 3 3.45238 . 3
3.47619 . 3
3.5 . 1
3.52381 . 3
3.54762 . 2
3.56098 . 1
3.57143 . 2
3.60976 . 1
3.61905 . 2
3.62857 . 1
3.64286 . 1
3.65517 . 1
3.66667 . 1
3.69048 . 2
3.69444 . 1
3.75 . 1 3.78571 . 1
3.80952 . 2
3.84211 . 1
3.85714 . 3
3.86486 . 1
3.88095 . 3
3.88571 . 1
3.92857 . 1
3.95238 . 3
3.97368 . 1
3.975 . 1
3.97619 . 1
4 . 2
4.02381 . 1
4.04762 . 1
4.05 . 1 4.07143 . 3
4.09524 . 2
4.11429 . 1
4.125 . 1
4.14286 . 2
4.16667 . 2
4.17647 . 1
4.19048 . 2
4.21053 . 1
4.21429 . 1
4.2381 . 1
4.2619 . 1
4.28571 . 1
4.30952 . 1
4.33333 . 1
4.35714 . 2 4.38095 . 1
4.40476 . 2
4.42857 . 3
4.4359 . 1
4.45238 . 1
4.4878 . 1
4.5 . 2
4.51515 . 1
4.52381 . 1
4.57143 . 1
4.58333 . 1
4.59524 . 1
4.6 . 1
4.61905 . 1
4.64286 . 2
4.66667 . 1 4.71429 . 1
4.78571 . 2
4.80952 . 1
4.90476 . 1
4.92857 . 3
4.94286 . 1
5 . 2
5.02381 . 1
5.03571 . 1
5.15 . 1
5.19048 . 1
5.21053 . 1
5.22857 . 1
5.2619 . 1
5.28205 . 1
5.30556 . 1 5.30952 . 1
5.32143 . 2
5.325 . 1
5.33333 . 1
5.43902 . 1
5.47619 . 1
5.5 . 2
5.54762 . 2
5.56522 . 1
5.61905 . 2
5.69048 . 1
5.71429 . 1
5.78571 . 1
5.92857 . 1
5.96429 . 1
5.975 . 1 6.02381 . 1
6.05714 . 1
6.11905 . 1
6.14634 . 1
6.16667 . 1
6.2381 . 1
6.28571 . 1
6.35714 . 1
6.38095 . 1
6.42857 . 1
6.51429 . 1
6.52381 . 1
6.60714 . 1
6.88095 . 1
6.89286 . 1
6.94286 . 1 7.07143 . 1
7.16667 . 1
7.32143 . 1
7.71429 . 1
8.04762 . 1
8.19048 . 1
Range of Valid Data Values: 1.79487 to 8.19048
Summary Statistics:
Minimum : 1.795
Maximum : 8.19
Mean : 4.097
Standard deviation : 1.291
Variable Format: numeric Variable: Sum of reported trips by public transport (main mode) in reporting period
Location: Value Label Frequency Width: 11 0 . 55
1 . 9
2 . 32
3 . 10
4 . 13
5 . 12
6 . 8
7 . 6
8 . 3
9 . 3
10 . 9
11 . 4
12 . 6
13 . 3 14 . 3
15 . 2
17 . 2
20 . 1
21 . 1
24 . 1
25 . 1
26 . 1
27 . 3
33 . 1
38 . 1
39 . 1
40 . 4
41 . 3
42 . 1
44 . 3 45 . 4
48 . 1
50 . 3
51 . 1
57 . 1
58 . 1
61 . 5
65 . 2
67 . 2
68 . 2
69 . 1
70 . 1
72 . 1
78 . 1
80 . 1
90 . 1 Range of Valid Data Values: 0 to 90
Summary Statistics:
Minimum : 0
Maximum : 90
Mean : 13.822
Standard deviation : 20.685
Variable Format: numeric Variable: Sum of reported trips by motorized transport (main mode) in reporting period
Location: Value Label Frequency Width: 11 0 . 3
1 . 1
2 . 1
3 . 1
4 . 1
5 . 1
9 . 3
11 . 1
12 . 3
13 . 5
14 . 1
15 . 1
16 . 1
17 . 4 18 . 3
19 . 3
20 . 3
21 . 1
22 . 1
23 . 1
24 . 1
25 . 1
26 . 1
27 . 2
28 . 3
29 . 3
31 . 1
32 . 1
33 . 1
34 . 1 36 . 2
37 . 1
39 . 3
40 . 2
41 . 2
44 . 1
45 . 1
48 . 3
51 . 2
52 . 1
53 . 1
54 . 5
55 . 3
57 . 2
58 . 2
59 . 4 60 . 2
61 . 1
62 . 2
64 . 3
66 . 1
67 . 2
68 . 1
70 . 1
71 . 1
72 . 1
73 . 1
74 . 3
76 . 1
78 . 4
79 . 1
80 . 1 82 . 1
83 . 1
85 . 3
86 . 1
89 . 1
90 . 2
91 . 1
93 . 2
94 . 4
98 . 3
99 . 3
100 . 1
102 . 1
103 . 1
104 . 1
105 . 1 107 . 3
110 . 3
111 . 1
112 . 4
113 . 1
114 . 1
116 . 2
118 . 1
120 . 1
121 . 1
122 . 1
123 . 1
124 . 1
125 . 4
126 . 2
127 . 1 129 . 1
131 . 1
134 . 3
135 . 1
138 . 3
139 . 2
140 . 1
142 . 3
143 . 1
145 . 1
147 . 1
148 . 2
152 . 1
153 . 2
155 . 1
163 . 2 165 . 3
166 . 1
167 . 1
169 . 1
171 . 1
172 . 1
174 . 1
176 . 1
178 . 2
181 . 1
182 . 1
184 . 1
185 . 1
186 . 1
189 . 1
191 . 1 196 . 1
199 . 1
212 . 1
213 . 1
214 . 1
215 . 1
220 . 1
224 . 1
225 . 1
229 . 1
230 . 1
233 . 1
250 . 1
260 . 1
319 . 1
Range of Valid Data Values: 0 to 319
Summary Statistics: Minimum : 0
Maximum : 319
Mean : 90.435
Standard deviation : 62.886
Variable Format: numeric Variable: Sum of reported trips by non-motorized transport (main mode) in reporting period
Location: Value Label Frequency Width: 11 0 . 10
1 . 4
2 . 2
3 . 8
4 . 4
5 . 9
6 . 2
7 . 2
8 . 5
9 . 3
11 . 4
13 . 3
14 . 4
15 . 3 17 . 6
18 . 3
19 . 4
20 . 2
21 . 3
22 . 7
23 . 1
24 . 1
25 . 3
26 . 3
27 . 1
28 . 1
29 . 4
30 . 1
31 . 3
32 . 1 33 . 3
35 . 2
36 . 2
38 . 1
39 . 2
40 . 2
41 . 3
42 . 2
43 . 1
45 . 3
46 . 1
47 . 2
49 . 1
52 . 4
53 . 1
54 . 1 55 . 1
56 . 3
57 . 1
58 . 2
60 . 1
62 . 2
66 . 1
67 . 2
68 . 1
69 . 5
70 . 3
71 . 1
72 . 2
74 . 1
75 . 1
77 . 1 81 . 1
82 . 1
84 . 2
86 . 2
87 . 3
89 . 1
90 . 2
92 . 2
94 . 1
95 . 3
97 . 4
98 . 1
100 . 1
101 . 1
104 . 1
105 . 1 108 . 2
109 . 2
111 . 2
116 . 1
118 . 1
122 . 1
124 . 1
126 . 2
128 . 1
132 . 1
135 . 1
136 . 1
137 . 1
138 . 1
139 . 2
140 . 1 141 . 2
143 . 1
145 . 1
146 . 1
150 . 1
153 . 1
167 . 1
169 . 2
180 . 2
198 . 1
199 . 1
215 . 1
230 . 1
Range of Valid Data Values: 0 to 230
Summary Statistics:
Minimum : 0
Maximum : 230
Mean : 53.848 Standard deviation : 50.179
Variable Format: numeric Variable: Sum of reported trips by walking (main mode) in reporting period
Location: Value Label Frequency Width: 11 0 . 13
1 . 9
2 . 4
3 . 10
4 . 8
5 . 8
6 . 7
7 . 5
8 . 8
9 . 6
10 . 5
11 . 3
12 . 1
13 . 6 14 . 7
15 . 4
16 . 3
17 . 4
18 . 6
19 . 6
20 . 4
21 . 9
22 . 2
23 . 3
24 . 2
25 . 5
26 . 1
28 . 3
29 . 1
30 . 1 31 . 2
32 . 4
33 . 4
35 . 3
36 . 4
37 . 2
38 . 1
39 . 1
40 . 1
41 . 2
42 . 3
43 . 4
44 . 1
45 . 1
47 . 3
50 . 1 55 . 2
57 . 1
62 . 2
64 . 1
67 . 3
68 . 5
69 . 1
72 . 1
79 . 1
84 . 1
85 . 2
88 . 1
90 . 2
91 . 1
94 . 1
95 . 1 98 . 1
100 . 1
104 . 1
108 . 1
109 . 1
112 . 1
128 . 1
129 . 1
150 . 1
158 . 1
180 . 1
198 . 1
214 . 1
Range of Valid Data Values: 0 to 214
Summary Statistics:
Minimum : 0
Maximum : 214
Mean : 29.717 Standard deviation : 35.699
Variable Format: numeric Variable: Sum of reported trips by cycling (main mode) in reporting period
Location: Value Label Frequency Width: 11 0 . 80
1 . 17
2 . 13
3 . 3
4 . 9
5 . 3
6 . 4
7 . 2
8 . 4
9 . 4
10 . 1
11 . 3
12 . 1
13 . 3 14 . 3
15 . 1
16 . 1
17 . 1
18 . 2
21 . 1
23 . 1
24 . 1
25 . 2
26 . 2
27 . 2
29 . 1
30 . 1
31 . 2
32 . 3
33 . 1 34 . 1
35 . 1
37 . 3
38 . 1
40 . 1
41 . 1
42 . 2
45 . 1
46 . 1
47 . 1
50 . 2
54 . 2
56 . 1
57 . 2
59 . 1
60 . 2 65 . 1
66 . 1
72 . 3
76 . 2
78 . 3
83 . 2
84 . 1
88 . 1
89 . 1
96 . 2
100 . 1
103 . 1
107 . 2
108 . 1
111 . 1
112 . 1 114 . 1
119 . 2
121 . 1
123 . 1
129 . 1
131 . 1
139 . 1
142 . 1
154 . 1
178 . 1
Range of Valid Data Values: 0 to 178
Summary Statistics:
Minimum : 0
Maximum : 178
Mean : 24.13
Standard deviation : 37.654
Variable Format: numeric Variable: Sum of reported trips by other mean of transport (main mode) in reporting period
Location: Value Label Frequency Width: 11 0 . 156
1 . 35
2 . 21
3 . 6
4 . 1
5 . 3
6 . 2
8 . 1
11 . 1
16 . 1
70 . 1
74 . 1
114 . 1
Range of Valid Data Values: 0 to 114 Summary Statistics:
Variable Format: numeric Variable: Average trips by public transport per day in reporting period (t_oev/rep_day2)
Location: Value Label Frequency Width: 13 0 . 55
0.0238095238095238 . 8
0.0357142857142857 . 1
0.0476190476190476 . 20
0.05 . 2
0.0540540540540541 . 1
0.0555555555555556 . 4
0.0571428571428571 . 2
0.0588235294117647 . 1
0.0714285714285714 . 8
0.0731707317073171 . 1
0.0769230769230769 . 1
0.0882352941176471 . 1
0.0909090909090909 . 1 0.0952380952380952 . 7
0.0975609756097561 . 1
0.1 . 1
0.105263157894737 . 1
0.114285714285714 . 1
0.119047619047619 . 8
0.121212121212121 . 1
0.121951219512195 . 1
0.142857142857143 . 5
0.146341463414634 . 1
0.15625 . 1
0.166666666666667 . 5
0.178571428571429 . 1
0.19047619047619 . 2
0.2 . 2
0.214285714285714 . 5 0.238095238095238 . 6
0.25 . 2
0.257142857142857 . 1
0.261904761904762 . 2
0.27027027027027 . 1
0.285714285714286 . 2
0.289473684210526 . 1
0.290322580645161 . 1
0.3 . 2
0.307692307692308 . 1
0.30952380952381 . 2
0.31578947368421 . 1
0.333333333333333 . 2
0.365853658536585 . 1
0.384615384615385 . 1
0.392857142857143 . 1 0.4 . 1
0.404761904761905 . 1
0.448275862068966 . 1
0.476190476190476 . 1
0.485714285714286 . 1
0.571428571428571 . 1
0.595238095238095 . 1
0.6 . 1
0.642857142857143 . 2
0.65 . 1
0.785714285714286 . 1
0.84375 . 1
0.904761904761905 . 1
0.952380952380952 . 3
0.976190476190476 . 1
1 . 1 1.07142857142857 . 2
1.14285714285714 . 2
1.17142857142857 . 1
1.18421052631579 . 1
1.19047619047619 . 1
1.21428571428571 . 1
1.29411764705882 . 1
1.35714285714286 . 1
1.39285714285714 . 1
1.42857142857143 . 1
1.45238095238095 . 4
1.46428571428571 . 1
1.48780487804878 . 1
1.51515151515152 . 1
1.54761904761905 . 2
1.57142857142857 . 2 1.5952380952381 . 1
1.60714285714286 . 1
1.61904761904762 . 2
1.64285714285714 . 1
1.66666666666667 . 1
1.70588235294118 . 1
1.71428571428571 . 1
1.85714285714286 . 1
1.9047619047619 . 1
1.91428571428571 . 1
2.14285714285714 . 1
Range of Valid Data Values: 0 to 2.14285714285714
Summary Statistics:
Minimum : 0
Maximum : 2.143
Mean : 0.357
Standard deviation : 0.529
Variable Format: numeric Variable: Average trips by motorized individual transport per day in reporting period (t_miv/rep_day2)
Location: Value Label Frequency Width: 13 0 . 3
0.0357142857142857 . 1
0.0476190476190476 . 1
0.0882352941176471 . 1
0.0952380952380952 . 1
0.151515151515152 . 1
0.214285714285714 . 3
0.261904761904762 . 1
0.285714285714286 . 1
0.30952380952381 . 1
0.333333333333333 . 1
0.342857142857143 . 1
0.404761904761905 . 3
0.414634146341463 . 1 0.428571428571429 . 4
0.432432432432432 . 1
0.452380952380952 . 2
0.464285714285714 . 4
0.476190476190476 . 1
0.5 . 1
0.523809523809524 . 1
0.535714285714286 . 1
0.571428571428571 . 2
0.595238095238095 . 1
0.619047619047619 . 1
0.642857142857143 . 1
0.655172413793103 . 1
0.666666666666667 . 3
0.69047619047619 . 1
0.714285714285714 . 1 0.738095238095238 . 1
0.761904761904762 . 1
0.80952380952381 . 1
0.821428571428571 . 1
0.825 . 1
0.852941176470588 . 1
0.857142857142857 . 1
0.9 . 1
0.928571428571429 . 1
0.952380952380952 . 1
0.964285714285714 . 1
0.976190476190476 . 2
1 . 1
1.1 . 1
1.14285714285714 . 3
1.14705882352941 . 1 1.15625 . 1
1.18421052631579 . 1
1.23809523809524 . 1
1.28571428571429 . 3
1.30952380952381 . 1
1.34146341463415 . 2
1.35 . 1
1.35714285714286 . 1
1.38095238095238 . 2
1.38461538461538 . 1
1.39285714285714 . 1
1.39473684210526 . 1
1.4047619047619 . 1
1.41666666666667 . 1
1.42857142857143 . 1
1.4390243902439 . 1 1.45238095238095 . 1
1.47619047619048 . 2
1.5 . 1
1.52380952380952 . 1
1.57142857142857 . 1
1.5952380952381 . 2
1.61904761904762 . 1
1.62857142857143 . 1
1.64102564102564 . 1
1.68571428571429 . 1
1.69047619047619 . 1
1.71428571428571 . 1
1.73809523809524 . 1
1.76190476190476 . 3
1.85714285714286 . 1
1.88095238095238 . 1 1.90243902439024 . 1
1.97619047619048 . 1
2 . 1
2.02380952380952 . 1
2.04761904761905 . 1
2.05405405405405 . 1
2.05714285714286 . 1
2.06451612903226 . 1
2.07317073170732 . 1
2.10714285714286 . 1
2.14285714285714 . 1
2.21428571428571 . 1
2.22857142857143 . 2
2.23809523809524 . 2
2.28205128205128 . 1
2.28571428571429 . 1 2.325 . 1
2.33333333333333 . 1
2.35714285714286 . 3
2.38095238095238 . 1
2.42857142857143 . 1
2.45 . 1
2.45238095238095 . 1
2.5 . 1
2.53658536585366 . 1
2.54761904761905 . 1
2.61904761904762 . 2
2.65625 . 1
2.66666666666667 . 4
2.67647058823529 . 1
2.68571428571429 . 2
2.69047619047619 . 1 2.71428571428571 . 1
2.72222222222222 . 1
2.76190476190476 . 1
2.80952380952381 . 1
2.81578947368421 . 1
2.82051282051282 . 1
2.83333333333333 . 1
2.84615384615385 . 1
2.88095238095238 . 1
2.92857142857143 . 1
2.97619047619048 . 1
3 . 2
3.07142857142857 . 1
3.11904761904762 . 1
3.125 . 1
3.19047619047619 . 1 3.21428571428571 . 2
3.24242424242424 . 1
3.28571428571429 . 2
3.30952380952381 . 1
3.33333333333333 . 1
3.36585365853658 . 1
3.38095238095238 . 2
3.38888888888889 . 1
3.42857142857143 . 1
3.45238095238095 . 1
3.5 . 1
3.52380952380952 . 1
3.52631578947368 . 1
3.54285714285714 . 1
3.57142857142857 . 1
3.61904761904762 . 1 3.62857142857143 . 1
3.64285714285714 . 1
3.69047619047619 . 1
3.78787878787879 . 1
3.88095238095238 . 1
3.89473684210526 . 1
3.97560975609756 . 1
4.02380952380952 . 1
4.02439024390244 . 1
4.05714285714286 . 1
4.08571428571429 . 1
4.0952380952381 . 1
4.125 . 1
4.14285714285714 . 2
4.19047619047619 . 1
4.23076923076923 . 1 4.23809523809524 . 1
4.37142857142857 . 1
4.38095238095238 . 1
4.4047619047619 . 1
4.5 . 1
4.525 . 1
4.53658536585366 . 1
4.54761904761905 . 1
4.55 . 1
4.66666666666667 . 1
4.73809523809524 . 1
4.74285714285714 . 1
4.78571428571429 . 1
4.88571428571429 . 1
4.96428571428571 . 1
5.04761904761905 . 1 5.07142857142857 . 1
5.08571428571429 . 1
5.11904761904762 . 1
5.21951219512195 . 1
5.23809523809524 . 1
5.33333333333333 . 1
5.34782608695652 . 1
5.35714285714286 . 1
5.45238095238095 . 1
5.47619047619048 . 1
5.54761904761905 . 1
5.95238095238095 . 1
5.96428571428572 . 1
6.19047619047619 . 1
7.5952380952381 . 1
Range of Valid Data Values: 0 to 7.59523809523809
Summary Statistics: Minimum : 0
Maximum : 7.595
Mean : 2.313
Standard deviation : 1.574
Variable Format: numeric Variable: Average trips by non-motorized individual transport per day in reporting period (t_lv/rep_day2)
Location: Value Label Frequency Width: 13 0 . 10
0.0238095238095238 . 3
0.0285714285714286 . 1
0.0476190476190476 . 2
0.0714285714285714 . 5
0.075 . 1
0.0857142857142857 . 2
0.0952380952380952 . 2
0.0975609756097561 . 1
0.119047619047619 . 3
0.125 . 1
0.142857142857143 . 6
0.153846153846154 . 1
0.166666666666667 . 1 0.170731707317073 . 1
0.19047619047619 . 1
0.205128205128205 . 1
0.214285714285714 . 1
0.217391304347826 . 1
0.219512195121951 . 1
0.228571428571429 . 2
0.257142857142857 . 1
0.261904761904762 . 4
0.30952380952381 . 2
0.341463414634146 . 1
0.351351351351351 . 1
0.357142857142857 . 1
0.380952380952381 . 1
0.404761904761905 . 4
0.411764705882353 . 1 0.428571428571429 . 2
0.435897435897436 . 1
0.452380952380952 . 2
0.46875 . 1
0.475 . 1
0.5 . 3
0.51219512195122 . 1
0.514285714285714 . 1
0.523809523809524 . 6
0.542857142857143 . 1
0.55 . 1
0.571428571428571 . 2
0.595238095238095 . 2
0.607142857142857 . 1
0.609756097560976 . 1
0.619047619047619 . 2 0.642857142857143 . 1
0.65 . 1
0.69047619047619 . 2
0.707317073170732 . 1
0.714285714285714 . 2
0.738095238095238 . 3
0.75 . 1
0.771428571428572 . 1
0.777777777777778 . 1
0.821428571428571 . 1
0.833333333333333 . 1
0.852941176470588 . 1
0.857142857142857 . 2
0.868421052631579 . 1
0.904761904761905 . 1
0.916666666666667 . 1 0.921052631578947 . 1
0.928571428571429 . 1
0.942857142857143 . 1
0.976190476190476 . 3
1 . 1
1.02380952380952 . 1
1.07142857142857 . 1
1.0952380952381 . 1
1.11111111111111 . 1
1.11904761904762 . 1
1.14285714285714 . 2
1.16666666666667 . 1
1.18181818181818 . 1
1.23684210526316 . 1
1.23809523809524 . 2
1.26190476190476 . 1 1.27272727272727 . 1
1.28571428571429 . 2
1.30952380952381 . 1
1.33333333333333 . 2
1.36363636363636 . 1
1.38095238095238 . 2
1.4 . 1
1.425 . 1
1.42857142857143 . 1
1.47619047619048 . 2
1.48571428571429 . 1
1.57142857142857 . 1
1.5952380952381 . 2
1.61904761904762 . 1
1.64285714285714 . 3
1.66666666666667 . 1 1.69047619047619 . 1
1.71428571428571 . 1
1.78571428571429 . 1
1.83333333333333 . 1
1.85714285714286 . 1
1.95238095238095 . 1
2 . 3
2.02941176470588 . 1
2.04761904761905 . 1
2.05714285714286 . 1
2.05882352941176 . 1
2.07142857142857 . 1
2.11904761904762 . 1
2.1219512195122 . 1
2.14285714285714 . 1
2.19047619047619 . 2 2.19512195121951 . 1
2.26190476190476 . 2
2.30952380952381 . 3
2.38095238095238 . 1
2.38888888888889 . 1
2.4047619047619 . 1
2.41025641025641 . 1
2.46428571428571 . 1
2.5 . 1
2.55172413793103 . 1
2.57142857142857 . 1
2.6 . 1
2.64285714285714 . 1
2.725 . 1
2.80952380952381 . 1
2.86842105263158 . 1 2.89285714285714 . 1
2.9047619047619 . 1
2.95238095238095 . 1
3 . 3
3.04761904761905 . 1
3.13513513513514 . 1
3.14285714285714 . 1
3.21428571428571 . 1
3.23809523809524 . 1
3.26190476190476 . 1
3.28571428571429 . 1
3.30952380952381 . 2
3.33333333333333 . 1
3.35714285714286 . 1
3.39285714285714 . 1
3.45238095238095 . 1 3.46428571428571 . 1
3.47619047619048 . 1
3.48780487804878 . 1
3.5 . 1
3.57142857142857 . 1
3.64285714285714 . 1
3.85714285714286 . 1
3.96428571428571 . 1
3.97619047619048 . 1
4.02380952380952 . 2
4.5 . 1
4.71428571428571 . 1
4.73809523809524 . 1
5.03571428571429 . 1
5.11904761904762 . 1
5.47619047619048 . 1 6.42857142857143 . 1
Range of Valid Data Values: 0 to 6.42857142857143
Summary Statistics:
Minimum : 0
Maximum : 6.429
Mean : 1.383
Standard deviation : 1.291
Variable Format: numeric Variable: Average walking trips per day in reporting period (t_wal/rep_day2)
Location: Value Label Frequency Width: 13 0 . 13
0.0238095238095238 . 7
0.025 . 1
0.0285714285714286 . 1
0.0476190476190476 . 3
0.0571428571428571 . 1
0.0714285714285714 . 6
0.075 . 1
0.0857142857142857 . 1
0.0952380952380952 . 2
0.0975609756097561 . 1
0.107142857142857 . 1
0.114285714285714 . 2
0.117647058823529 . 2 0.119047619047619 . 5
0.130434782608696 . 1
0.142857142857143 . 9
0.153846153846154 . 1
0.166666666666667 . 4
0.170731707317073 . 1
0.178571428571429 . 1
0.19047619047619 . 4
0.214285714285714 . 4
0.219512195121951 . 1
0.228571428571429 . 2
0.238095238095238 . 2
0.242424242424242 . 1
0.257142857142857 . 1
0.261904761904762 . 3
0.285714285714286 . 1 0.294117647058824 . 1
0.30952380952381 . 3
0.317073170731707 . 1
0.333333333333333 . 2
0.341463414634146 . 1
0.351351351351351 . 1
0.357142857142857 . 3
0.380952380952381 . 2
0.4 . 1
0.404761904761905 . 3
0.41025641025641 . 1
0.425 . 1
0.428571428571429 . 5
0.439024390243902 . 1
0.452380952380952 . 2
0.457142857142857 . 1 0.464285714285714 . 1
0.46875 . 1
0.475 . 1
0.476190476190476 . 4
0.5 . 10
0.523809523809524 . 1
0.525 . 1
0.542857142857143 . 2
0.547619047619048 . 2
0.55 . 1
0.585365853658536 . 1
0.595238095238095 . 4
0.6 . 1
0.619047619047619 . 1
0.625 . 1
0.631578947368421 . 1 0.642857142857143 . 2
0.666666666666667 . 2
0.678571428571429 . 1
0.714285714285714 . 1
0.738095238095238 . 1
0.761904761904762 . 3
0.775 . 1
0.777777777777778 . 1
0.785714285714286 . 1
0.821428571428571 . 1
0.833333333333333 . 2
0.852941176470588 . 1
0.857142857142857 . 3
0.878048780487805 . 1
0.880952380952381 . 1
0.904761904761905 . 1 0.916666666666667 . 1
0.921052631578947 . 1
0.928571428571429 . 1
0.942857142857143 . 1
0.976190476190476 . 1
1 . 2
1.02380952380952 . 3
1.025 . 1
1.04761904761905 . 1
1.05714285714286 . 1
1.07142857142857 . 1
1.11111111111111 . 1
1.11904761904762 . 2
1.14285714285714 . 1
1.17857142857143 . 1
1.19047619047619 . 1 1.23684210526316 . 1
1.27272727272727 . 1
1.3030303030303 . 1
1.30952380952381 . 1
1.47619047619048 . 2
1.52380952380952 . 1
1.58333333333333 . 1
1.5952380952381 . 3
1.61904761904762 . 4
1.75609756097561 . 1
1.88095238095238 . 1
1.89655172413793 . 1
2 . 1
2.02380952380952 . 2
2.0952380952381 . 1
2.19512195121951 . 1 2.26190476190476 . 1
2.275 . 1
2.30769230769231 . 1
2.3448275862069 . 1
2.46428571428571 . 1
2.47619047619048 . 1
2.57142857142857 . 1
2.64864864864865 . 1
2.66666666666667 . 1
2.86842105263158 . 1
3.04761904761905 . 1
3.07142857142857 . 1
3.35714285714286 . 1
3.57142857142857 . 2
3.76190476190476 . 1
4.71428571428571 . 1 5.0952380952381 . 1
6.42857142857143 . 1
Range of Valid Data Values: 0 to 6.42857142857143
Summary Statistics:
Minimum : 0
Maximum : 6.429
Mean : 0.768
Standard deviation : 0.941
Variable Format: numeric Variable: Average bicycle trips per day in reporting period (t_cyc/rep_day2)
Location: Value Label Frequency Width: 13 0 . 80
0.0238095238095238 . 9
0.024390243902439 . 1
0.025 . 2
0.0256410256410256 . 1
0.0285714285714286 . 4
0.0476190476190476 . 9
0.0512820512820513 . 1
0.0606060606060606 . 1
0.0714285714285714 . 3
0.0731707317073171 . 1
0.0869565217391304 . 1
0.0952380952380952 . 4
0.1 . 1 0.102564102564103 . 1
0.117647058823529 . 1
0.119047619047619 . 3
0.142857142857143 . 3
0.153846153846154 . 1
0.166666666666667 . 2
0.171428571428571 . 1
0.19047619047619 . 2
0.206896551724138 . 1
0.214285714285714 . 3
0.228571428571429 . 2
0.236842105263158 . 1
0.238095238095238 . 1
0.261904761904762 . 2
0.285714285714286 . 1
0.30952380952381 . 2 0.325 . 1
0.333333333333333 . 3
0.365853658536585 . 1
0.390243902439024 . 1
0.392857142857143 . 1
0.428571428571429 . 1
0.485714285714286 . 1
0.486486486486486 . 1
0.5 . 1
0.547619047619048 . 1
0.571428571428571 . 1
0.595238095238095 . 2
0.619047619047619 . 2
0.642857142857143 . 2
0.761904761904762 . 2
0.785714285714286 . 1 0.805555555555556 . 1
0.833333333333333 . 1
0.85 . 1
0.857142857142857 . 1
0.880952380952381 . 3
0.885714285714286 . 1
0.904761904761905 . 1
0.93939393939394 . 1
1 . 3
1.07142857142857 . 1
1.0952380952381 . 1
1.10344827586207 . 1
1.19047619047619 . 2
1.28571428571429 . 1
1.33333333333333 . 1
1.35714285714286 . 2 1.4047619047619 . 1
1.42857142857143 . 2
1.46428571428571 . 1
1.54285714285714 . 1
1.67857142857143 . 1
1.71428571428571 . 2
1.80952380952381 . 1
1.91176470588235 . 1
1.94117647058824 . 1
1.95 . 1
1.97619047619048 . 1
2 . 1
2.05714285714286 . 1
2.0952380952381 . 1
2.11904761904762 . 1
2.28571428571429 . 1 2.38095238095238 . 1
2.45238095238095 . 1
2.54761904761905 . 1
2.57142857142857 . 1
2.60975609756098 . 1
2.64285714285714 . 1
2.66666666666667 . 1
2.71428571428571 . 2
2.78571428571429 . 2
2.83333333333333 . 2
2.88095238095238 . 1
2.92857142857143 . 1
2.96428571428571 . 1
3.07142857142857 . 1
3.11904761904762 . 1
3.38095238095238 . 1 3.42857142857143 . 1
3.475 . 1
3.66666666666667 . 1
4.23809523809524 . 1
Range of Valid Data Values: 0 to 4.23809523809524
Summary Statistics:
Minimum : 0
Maximum : 4.238
Mean : 0.615
Standard deviation : 0.954
Variable Format: numeric Variable: Average trips by other means of transport in reporting period (t_son/rep_day2)
Location: Value Label Frequency Width: 13 0 . 156
0.0238095238095238 . 25
0.025 . 1
0.0256410256410256 . 1
0.027027027027027 . 1
0.0277777777777778 . 2
0.0285714285714286 . 1
0.0294117647058824 . 1
0.03125 . 1
0.0357142857142857 . 2
0.0476190476190476 . 13
0.05 . 3
0.0512820512820513 . 2
0.0526315789473684 . 1 0.0606060606060606 . 1
0.0714285714285714 . 5
0.075 . 1
0.0789473684210526 . 1
0.117647058823529 . 1
0.119047619047619 . 1
0.121951219512195 . 1
0.142857142857143 . 3
0.19047619047619 . 1
0.261904761904762 . 1
0.380952380952381 . 1
1.66666666666667 . 1
1.76190476190476 . 1
2.71428571428571 . 1
Range of Valid Data Values: 0 to 2.71428571428571
Summary Statistics:
Minimum : 0
Maximum : 2.714 Mean : 0.0441
Standard deviation : 0.241
Variable Format: numeric Variable: Average working trips per day in reporting period
Location: Value Label Frequency Width: 13 0 . 91
0.0238095238095238 . 7
0.024390243902439 . 1
0.0285714285714286 . 1
0.0357142857142857 . 2
0.0476190476190476 . 3
0.05 . 2
0.0714285714285714 . 1
0.0882352941176471 . 1
0.0952380952380952 . 1
0.0975609756097561 . 1
0.119047619047619 . 1
0.153846153846154 . 1
0.166666666666667 . 2 0.176470588235294 . 1
0.214285714285714 . 2
0.217391304347826 . 1
0.228571428571429 . 1
0.261904761904762 . 2
0.3 . 1
0.314285714285714 . 1
0.321428571428571 . 1
0.357142857142857 . 1
0.363636363636364 . 1
0.365853658536585 . 1
0.380952380952381 . 1
0.392857142857143 . 1
0.404761904761905 . 2
0.428571428571429 . 5
0.447368421052632 . 1 0.452380952380952 . 1
0.461538461538462 . 1
0.476190476190476 . 3
0.5 . 4
0.51219512195122 . 1
0.523809523809524 . 1
0.547619047619048 . 1
0.571428571428571 . 7
0.594594594594595 . 1
0.595238095238095 . 1
0.642857142857143 . 2
0.658536585365854 . 2
0.666666666666667 . 1
0.685714285714286 . 1
0.69047619047619 . 2
0.707317073170732 . 1 0.709677419354839 . 1
0.710526315789474 . 1
0.714285714285714 . 7
0.738095238095238 . 1
0.75609756097561 . 1
0.761904761904762 . 1
0.794117647058824 . 1
0.8 . 1
0.80952380952381 . 1
0.833333333333333 . 1
0.84375 . 1
0.857142857142857 . 1
0.880952380952381 . 1
0.892857142857143 . 1
0.904761904761905 . 1
0.914285714285714 . 1 0.928571428571429 . 2
0.942857142857143 . 1
0.95 . 1
1.02380952380952 . 3
1.02777777777778 . 1
1.04761904761905 . 1
1.08108108108108 . 1
1.10714285714286 . 1
1.11428571428571 . 1
1.13793103448276 . 1
1.15384615384615 . 1
1.16666666666667 . 3
1.17857142857143 . 1
1.23809523809524 . 3
1.31428571428571 . 1
1.34146341463415 . 1 1.35714285714286 . 2
1.36111111111111 . 1
1.38095238095238 . 1
1.42857142857143 . 5
1.45238095238095 . 1
1.47619047619048 . 1
1.5 . 2
1.61904761904762 . 1
1.76190476190476 . 1
2.02380952380952 . 1
2.5 . 1
Range of Valid Data Values: 0 to 2.5
Summary Statistics:
Minimum : 0
Maximum : 2.5
Mean : 0.416
Standard deviation : 0.503
Variable Format: numeric Variable: Average education trips per day in reporting period
Location: Value Label Frequency Width: 13 0 . 126
0.0238095238095238 . 9
0.024390243902439 . 1
0.025 . 1
0.0277777777777778 . 2
0.0285714285714286 . 2
0.0294117647058824 . 1
0.0303030303030303 . 1
0.0357142857142857 . 2
0.0476190476190476 . 7
0.0571428571428571 . 1
0.0606060606060606 . 1
0.0714285714285714 . 2
0.0769230769230769 . 1 0.0810810810810811 . 1
0.0952380952380952 . 2
0.137931034482759 . 1
0.142857142857143 . 3
0.166666666666667 . 1
0.19047619047619 . 2
0.261904761904762 . 1
0.30952380952381 . 1
0.368421052631579 . 1
0.404761904761905 . 1
0.5 . 1
0.571428571428571 . 1
0.61764705882353 . 1
0.619047619047619 . 1
0.628571428571428 . 1
0.642857142857143 . 1 0.714285714285714 . 1
0.738095238095238 . 1
0.761904761904762 . 2
0.771428571428572 . 1
0.785714285714286 . 1
0.80952380952381 . 2
0.821428571428571 . 1
0.833333333333333 . 3
0.857142857142857 . 1
0.880952380952381 . 3
0.897435897435898 . 1
0.904761904761905 . 1
0.928571428571429 . 1
0.976190476190476 . 1
1 . 4
1.02380952380952 . 1 1.02857142857143 . 1
1.04761904761905 . 1
1.04878048780488 . 1
1.07142857142857 . 2
1.075 . 1
1.11428571428571 . 1
1.14285714285714 . 2
1.15789473684211 . 1
1.16666666666667 . 2
1.17073170731707 . 1
1.19047619047619 . 3
1.21428571428571 . 1
1.26190476190476 . 1
1.30952380952381 . 1
1.32142857142857 . 1
1.34285714285714 . 1 1.35714285714286 . 1
1.42857142857143 . 2
1.5 . 1
1.52380952380952 . 1
1.58823529411765 . 1
1.82142857142857 . 1
Range of Valid Data Values: 0 to 1.82142857142857
Summary Statistics:
Minimum : 0
Maximum : 1.821
Mean : 0.279
Standard deviation : 0.462
Variable Format: numeric Variable: Average shopping trips per day in reporting period
Location: Value Label Frequency Width: 13 0 . 8
0.0238095238095238 . 5
0.024390243902439 . 1
0.0256410256410256 . 1
0.0285714285714286 . 2
0.03125 . 1
0.0357142857142857 . 3
0.0476190476190476 . 8
0.048780487804878 . 2
0.05 . 1
0.0571428571428571 . 2
0.0588235294117647 . 1
0.0689655172413793 . 1
0.0714285714285714 . 8 0.0731707317073171 . 1
0.0810810810810811 . 1
0.0857142857142857 . 1
0.0882352941176471 . 2
0.0952380952380952 . 7
0.107142857142857 . 2
0.114285714285714 . 2
0.119047619047619 . 4
0.131578947368421 . 2
0.142857142857143 . 6
0.15 . 1
0.153846153846154 . 1
0.166666666666667 . 3
0.171428571428571 . 2
0.175 . 1
0.178571428571429 . 3 0.19047619047619 . 7
0.2 . 1
0.214285714285714 . 8
0.230769230769231 . 1
0.238095238095238 . 6
0.24390243902439 . 3
0.25 . 1
0.256410256410256 . 1
0.261904761904762 . 4
0.263157894736842 . 2
0.268292682926829 . 1
0.277777777777778 . 1
0.285714285714286 . 5
0.307692307692308 . 1
0.30952380952381 . 3
0.314285714285714 . 1 0.321428571428571 . 1
0.324324324324324 . 1
0.333333333333333 . 3
0.352941176470588 . 1
0.357142857142857 . 3
0.361111111111111 . 1
0.363636363636364 . 1
0.365853658536585 . 1
0.371428571428571 . 3
0.380952380952381 . 3
0.388888888888889 . 1
0.391304347826087 . 1
0.4 . 2
0.404761904761905 . 5
0.40625 . 1
0.414634146341463 . 1 0.428571428571429 . 3
0.447368421052632 . 1
0.452380952380952 . 3
0.457142857142857 . 1
0.476190476190476 . 2
0.5 . 6
0.523809523809524 . 5
0.525 . 2
0.547619047619048 . 2
0.571428571428571 . 4
0.585365853658536 . 1
0.58974358974359 . 1
0.595238095238095 . 3
0.6 . 1
0.619047619047619 . 1
0.625 . 1 0.628571428571428 . 2
0.642857142857143 . 4
0.666666666666667 . 2
0.678571428571429 . 1
0.69047619047619 . 1
0.696969696969697 . 1
0.714285714285714 . 2
0.731707317073171 . 1
0.738095238095238 . 2
0.758620689655172 . 1
0.761904761904762 . 1
0.785714285714286 . 1
0.8 . 1
0.821428571428571 . 1
0.833333333333333 . 2
0.857142857142857 . 1 0.892857142857143 . 1
0.904761904761905 . 1
0.925 . 1
1 . 1
1.02777777777778 . 1
1.04761904761905 . 1
1.14285714285714 . 1
1.23809523809524 . 1
1.28571428571429 . 1
1.35714285714286 . 1
1.39285714285714 . 1
Range of Valid Data Values: 0 to 1.39285714285714
Summary Statistics:
Minimum : 0
Maximum : 1.393
Mean : 0.338
Standard deviation : 0.282
Variable Format: numeric Variable: Average business trips per day in reporting period
Location: Value Label Frequency Width: 13 0 . 107
0.0238095238095238 . 19
0.024390243902439 . 1
0.025 . 2
0.0263157894736842 . 2
0.0285714285714286 . 1
0.0294117647058824 . 1
0.032258064516129 . 1
0.0357142857142857 . 1
0.0434782608695652 . 1
0.0476190476190476 . 4
0.048780487804878 . 1
0.0526315789473684 . 1
0.0555555555555556 . 1 0.0571428571428571 . 2
0.0606060606060606 . 1
0.0714285714285714 . 7
0.0769230769230769 . 1
0.0857142857142857 . 1
0.0952380952380952 . 5
0.0975609756097561 . 1
0.1 . 2
0.107142857142857 . 2
0.114285714285714 . 1
0.119047619047619 . 6
0.142857142857143 . 3
0.166666666666667 . 1
0.171428571428571 . 1
0.175 . 1
0.178571428571429 . 1 0.181818181818182 . 1
0.2 . 1
0.214285714285714 . 3
0.219512195121951 . 1
0.230769230769231 . 1
0.235294117647059 . 1
0.261904761904762 . 1
0.285714285714286 . 1
0.297297297297297 . 1
0.30952380952381 . 3
0.314285714285714 . 1
0.333333333333333 . 1
0.342105263157895 . 1
0.357142857142857 . 1
0.380952380952381 . 2
0.404761904761905 . 1 0.428571428571429 . 1
0.447368421052632 . 1
0.476190476190476 . 3
0.5 . 1
0.51219512195122 . 1
0.547619047619048 . 1
0.575 . 1
0.714285714285714 . 1
0.771428571428572 . 1
0.8 . 1
0.85 . 1
0.880952380952381 . 1
0.976190476190476 . 1
1.02380952380952 . 1
1.0952380952381 . 1
1.17073170731707 . 1 1.28571428571429 . 1
1.41463414634146 . 1
1.42857142857143 . 1
1.47619047619048 . 2
1.71428571428571 . 1
1.8 . 1
1.82142857142857 . 1
1.85714285714286 . 1
1.88095238095238 . 1
1.91428571428571 . 1
2.07142857142857 . 1
Range of Valid Data Values: 0 to 2.07142857142857
Summary Statistics:
Minimum : 0
Maximum : 2.071
Mean : 0.19
Standard deviation : 0.41
Variable Format: numeric Variable: Average leisure trips per day in reporting period
Location: Value Label Frequency Width: 13 0.0285714285714286 . 1
0.0571428571428571 . 1
0.102564102564103 . 1
0.121951219512195 . 1
0.146341463414634 . 1
0.214285714285714 . 1
0.28125 . 1
0.285714285714286 . 2
0.30952380952381 . 3
0.358974358974359 . 1
0.371428571428571 . 2
0.375 . 1
0.380952380952381 . 1
0.392857142857143 . 1 0.428571428571429 . 3
0.432432432432432 . 1
0.45 . 1
0.452380952380952 . 4
0.457142857142857 . 1
0.476190476190476 . 2
0.484848484848485 . 1
0.5 . 5
0.51219512195122 . 1
0.514285714285714 . 2
0.516129032258064 . 1
0.517241379310345 . 1
0.523809523809524 . 2
0.547619047619048 . 4
0.571428571428571 . 3
0.588235294117647 . 1 0.595238095238095 . 4
0.6 . 2
0.61764705882353 . 1
0.619047619047619 . 4
0.628571428571428 . 2
0.634146341463415 . 2
0.642857142857143 . 5
0.657142857142857 . 1
0.666666666666667 . 3
0.675 . 1
0.678571428571429 . 1
0.682926829268293 . 1
0.6875 . 1
0.69047619047619 . 3
0.702702702702703 . 1
0.705882352941176 . 1 0.714285714285714 . 3
0.725 . 1
0.738095238095238 . 4
0.742857142857143 . 2
0.743589743589744 . 1
0.761904761904762 . 3
0.780487804878049 . 1
0.782608695652174 . 1
0.785714285714286 . 5
0.804878048780488 . 1
0.80952380952381 . 3
0.82051282051282 . 1
0.821428571428571 . 1
0.829268292682927 . 1
0.833333333333333 . 3
0.857142857142857 . 5 0.861111111111111 . 1
0.880952380952381 . 1
0.888888888888889 . 1
0.892857142857143 . 1
0.894736842105263 . 1
0.904761904761905 . 2
0.928571428571429 . 1
0.944444444444444 . 1
0.95 . 1
0.964285714285714 . 1
0.971428571428571 . 2
0.973684210526316 . 1
0.975 . 1
0.976190476190476 . 3
1 . 7
1.02380952380952 . 3 1.04761904761905 . 3
1.05714285714286 . 1
1.07142857142857 . 2
1.07317073170732 . 1
1.075 . 1
1.0952380952381 . 3
1.10526315789474 . 1
1.10714285714286 . 1
1.11428571428571 . 1
1.11904761904762 . 3
1.14285714285714 . 3
1.15151515151515 . 1
1.16666666666667 . 2
1.175 . 1
1.19047619047619 . 1
1.21428571428571 . 3 1.26190476190476 . 1
1.28571428571429 . 3
1.30952380952381 . 2
1.325 . 1
1.33333333333333 . 1
1.34210526315789 . 1
1.38095238095238 . 1
1.39285714285714 . 1
1.4 . 1
1.42857142857143 . 1
1.45238095238095 . 2
1.47619047619048 . 2
1.5 . 3
1.52380952380952 . 1
1.53846153846154 . 1
1.54761904761905 . 1 1.57142857142857 . 4
1.61904761904762 . 1
1.62068965517241 . 1
1.63636363636364 . 1
1.64285714285714 . 1
1.66666666666667 . 1
1.69047619047619 . 2
1.73809523809524 . 1
1.76190476190476 . 2
1.85714285714286 . 1
1.88095238095238 . 1
1.9047619047619 . 1
1.97142857142857 . 1
1.97619047619048 . 1
2.04761904761905 . 2
2.07142857142857 . 1 2.0952380952381 . 1
2.09756097560976 . 1
2.1219512195122 . 1
2.14285714285714 . 1
2.23809523809524 . 1
2.43589743589744 . 1
2.5 . 1
2.52380952380952 . 1
2.78947368421053 . 1
Range of Valid Data Values: 0.0285714285714286 to 2.78947368421053
Summary Statistics:
Minimum : 0.0286
Maximum : 2.789
Mean : 0.962
Standard deviation : 0.505
Variable Format: numeric Variable: Average private business trips per day in reporting period
Location: Value Label Frequency Width: 13 0 . 16
0.0238095238095238 . 12
0.024390243902439 . 1
0.0256410256410256 . 2
0.0263157894736842 . 1
0.0285714285714286 . 1
0.0357142857142857 . 3
0.0476190476190476 . 9
0.048780487804878 . 4
0.0571428571428571 . 3
0.0714285714285714 . 12
0.0731707317073171 . 1
0.075 . 1
0.0769230769230769 . 1 0.0810810810810811 . 1
0.0857142857142857 . 3
0.0882352941176471 . 1
0.0952380952380952 . 12
0.103448275862069 . 1
0.105263157894737 . 1
0.107142857142857 . 3
0.114285714285714 . 1
0.117647058823529 . 2
0.119047619047619 . 6
0.125 . 2
0.131578947368421 . 1
0.142857142857143 . 8
0.146341463414634 . 1
0.15 . 1
0.162162162162162 . 1 0.166666666666667 . 4
0.171428571428571 . 1
0.175 . 2
0.178571428571429 . 1
0.19047619047619 . 7
0.194444444444444 . 1
0.2 . 4
0.214285714285714 . 5
0.228571428571429 . 3
0.238095238095238 . 4
0.24390243902439 . 1
0.25 . 1
0.257142857142857 . 1
0.260869565217391 . 1
0.261904761904762 . 7
0.264705882352941 . 1 0.268292682926829 . 2
0.272727272727273 . 1
0.285714285714286 . 6
0.307692307692308 . 1
0.30952380952381 . 8
0.314285714285714 . 1
0.321428571428571 . 1
0.333333333333333 . 5
0.357142857142857 . 3
0.375 . 2
0.380952380952381 . 4
0.4 . 1
0.404761904761905 . 3
0.40625 . 1
0.414634146341463 . 1
0.416666666666667 . 1 0.428571428571429 . 5
0.439024390243902 . 1
0.452380952380952 . 3
0.464285714285714 . 1
0.472222222222222 . 1
0.473684210526316 . 1
0.476190476190476 . 1
0.5 . 2
0.547619047619048 . 3
0.55 . 1
0.571428571428571 . 1
0.595238095238095 . 1
0.65 . 1
0.666666666666667 . 1
0.678571428571429 . 1
0.75 . 2 0.769230769230769 . 1
0.785714285714286 . 1
0.857142857142857 . 1
1.14285714285714 . 1
1.23809523809524 . 2
1.24242424242424 . 1
Range of Valid Data Values: 0 to 1.24242424242424
Summary Statistics:
Minimum : 0
Maximum : 1.242
Mean : 0.225
Standard deviation : 0.221
Variable Format: numeric Variable: Average pick up/ drop off trips per day in reporting period
Location: Value Label Frequency Width: 13 0 . 71
0.0238095238095238 . 13
0.024390243902439 . 2
0.025 . 2
0.0256410256410256 . 2
0.0263157894736842 . 1
0.0285714285714286 . 1
0.0294117647058824 . 2
0.032258064516129 . 1
0.0357142857142857 . 5
0.0476190476190476 . 21
0.048780487804878 . 1
0.05 . 1
0.0571428571428571 . 2 0.0625 . 1
0.0714285714285714 . 6
0.075 . 1
0.0789473684210526 . 1
0.0857142857142857 . 2
0.0952380952380952 . 12
0.1 . 1
0.107142857142857 . 2
0.114285714285714 . 3
0.119047619047619 . 5
0.121212121212121 . 1
0.128205128205128 . 1
0.142857142857143 . 6
0.146341463414634 . 1
0.166666666666667 . 4
0.170731707317073 . 1 0.171428571428571 . 1
0.175 . 1
0.178571428571429 . 1
0.181818181818182 . 1
0.184210526315789 . 1
0.19047619047619 . 4
0.195121951219512 . 1
0.205128205128205 . 1
0.210526315789474 . 1
0.214285714285714 . 3
0.222222222222222 . 1
0.238095238095238 . 4
0.25 . 2
0.261904761904762 . 1
0.263157894736842 . 1
0.285714285714286 . 2 0.325 . 1
0.333333333333333 . 1
0.342857142857143 . 1
0.371428571428571 . 1
0.380952380952381 . 1
0.428571428571429 . 3
0.439024390243902 . 1
0.452380952380952 . 1
0.464285714285714 . 1
0.5 . 2
0.547619047619048 . 1
0.571428571428571 . 2
0.595238095238095 . 1
0.642857142857143 . 1
0.69047619047619 . 2
0.714285714285714 . 2 0.775 . 1
0.785714285714286 . 1
0.928571428571429 . 1
1.04761904761905 . 2
1.05 . 1
1.07142857142857 . 1
1.45238095238095 . 1
1.82608695652174 . 1
Range of Valid Data Values: 0 to 1.82608695652174
Summary Statistics:
Minimum : 0
Maximum : 1.826
Mean : 0.148
Standard deviation : 0.255
Variable Format: numeric Variable: Personal weighting factor in order to National Household Travel Survey 2000 (only Thurgau) Location: Value Label Frequency Width: 8 0.088735 . 3
0.169402 . 22
0.454494 . 41
0.532407 . 19
0.831075 . 41
0.964988 . 8
1.310081 . 89
2.395833 . 2
5.324074 . 1
6.21142 . 3
10.115741 . 1
Range of Valid Data Values: 0.088735 to 10.115741
Summary Statistics:
Minimum : 0.0887
Maximum : 10.116
Mean : 1
Variable Format: numeric Variable: Household income (reported)
Location: Value Label Frequency Width: 11 1 . Below 2000 CHF 1
2 . 2001 to 3000 CHF 5
3 . 3001 to 4000 CHF 7
4 . 4001 to 5000 CHF 9
5 . 5001 to 7500 CHF 57
6 . 7501 to 10000 CHF 52
7 . Beyond 10000 CHF 66
Sysmiss . 33
Range of Valid Data Values: 1 to 7
Summary Statistics:
Variable Format: numeric Variable: Household income (imputed)
Location: Value Label Frequency Width: 8 1 . below 2000 CHF 1
2 . 2001 to 3000 CHF 5
3 . 3001 to 4000 CHF 7
4 . 4001 to 5000 CHF 9
5 . 5001 to 7500 CHF 59
6 . 7501 to 10000 83
7 . beyond 10000 CHF 66
Range of Valid Data Values: 1 to 7
Summary Statistics:
Minimum : 1
Maximum : 7
Variable Format: numeric Variable: Hours of additional occupation (recoded)
Location: Range of Valid Data Values: 1 to 30
Width: 8 Summary Statistics:
Minimum : 1
Maximum : 30
Mean : 7.46
Standard deviation : 6.597
Variable Format: numeric Variable: Identification of trip
Location: Range of Valid Data Values: 1 to 36824
Width: 11 Summary Statistics:
Minimum : 1
Maximum : 36824
Variable Format: numeric Variable: Household number
Location: Range of Valid Data Values: 1 to 110
Width: 11 Summary Statistics:
Minimum : 1
Maximum : 110
Variable Format: numeric Variable: Person number
Location: Range of Valid Data Values: 1 to 247
Width: 11 Summary Statistics:
Minimum : 1
Maximum : 247
Variable Format: numeric Variable: Trip departure time adjusted
Location: Summary Statistics:
Width: 5 Variable Format: character Variable: Trip arrival time adjusted
Location: Summary Statistics:
Width: 5 Variable Format: character Variable: Sum of all travel times by transport mode in minutes
Location: Value Label Frequency Width: 8 0 . 35
1 . 805
2 . 1669
3 . 2300
4 . 1355
5 . 6190
6 . 749
7 . 1296
8 . 1109
9 . 240
10 . 5094
11 . 166
12 . 561
13 . 176 14 . 116
15 . 3437
16 . 131
17 . 170
18 . 249
19 . 113
20 . 2270
21 . 72
22 . 150
23 . 99
24 . 48
25 . 1291
26 . 62
27 . 66
28 . 65
29 . 30 30 . 1424
31 . 23
32 . 88
33 . 30
34 . 21
35 . 505
36 . 27
37 . 43
38 . 41
39 . 17
40 . 498
41 . 19
42 . 93
43 . 23
44 . 17
45 . 560 46 . 23
47 . 53
48 . 25
49 . 8
50 . 397
51 . 15
52 . 12
53 . 28
54 . 19
55 . 173
56 . 28
57 . 21
58 . 22
59 . 23
60 . 479
61 . 11 62 . 17
63 . 22
64 . 11
65 . 134
66 . 8
67 . 18
68 . 49
69 . 10
70 . 123
71 . 7
72 . 8
73 . 16
74 . 5
75 . 150
77 . 13
78 . 9 80 . 75
81 . 1
82 . 5
83 . 12
85 . 28
86 . 19
87 . 10
88 . 4
89 . 2
90 . 178
91 . 1
92 . 7
93 . 4
94 . 2
95 . 25
96 . 1 97 . 23
98 . 4
99 . 15
100 . 42
102 . 3
103 . 2
104 . 2
105 . 58
106 . 2
107 . 1
108 . 4
109 . 5
110 . 70
111 . 2
112 . 5
113 . 2 114 . 2
115 . 31
116 . 1
117 . 3
118 . 1
119 . 3
120 . 99
122 . 3
123 . 1
125 . 13
126 . 6
127 . 3
128 . 10
129 . 1
130 . 22
131 . 1 132 . 3
134 . 1
135 . 23
136 . 2
137 . 2
138 . 2
139 . 8
140 . 27
141 . 2
142 . 1
143 . 3
144 . 10
145 . 9
146 . 1
147 . 4
149 . 1 150 . 32
151 . 1
154 . 2
155 . 10
157 . 2
158 . 1
160 . 15
161 . 1
163 . 2
165 . 9
167 . 4
168 . 2
170 . 8
171 . 2
172 . 2
175 . 7 177 . 3
180 . 35
184 . 1
185 . 4
189 . 4
190 . 11
191 . 1
193 . 1
195 . 14
197 . 4
200 . 8
201 . 1
205 . 7
207 . 1
210 . 18
213 . 1 215 . 2
216 . 1
218 . 4
220 . 2
224 . 1
225 . 6
230 . 3
235 . 2
237 . 2
239 . 2
240 . 10
243 . 1
245 . 2
248 . 2
250 . 1
255 . 4 257 . 2
260 . 1
268 . 2
270 . 6
271 . 1
272 . 2
274 . 1
275 . 3
283 . 4
285 . 4
289 . 1
290 . 1
295 . 1
300 . 7
305 . 1
306 . 1 315 . 2
320 . 3
325 . 2
329 . 1
330 . 5
338 . 4
342 . 2
360 . 7
365 . 1
370 . 1
375 . 2
380 . 2
390 . 2
395 . 1
405 . 6
410 . 2 420 . 6
440 . 1
450 . 5
455 . 1
460 . 1
475 . 1
480 . 1
483 . 1
495 . 2
510 . 1
515 . 2
520 . 1
525 . 1
780 . 1
790 . 2
1230 . 1 Range of Valid Data Values: 0 to 1230
Summary Statistics:
Minimum : 0
Maximum : 1230
Mean : 19.388
Standard deviation : 32.363
Variable Format: numeric Variable: Trip departure time
Location: Summary Statistics:
Width: 5 Variable Format: character Variable: Trip arrival time
Location: Summary Statistics:
Width: 5 Variable Format: character Variable: Door-to-door travel time (including waits)
Location: Value Label Frequency Width: 11 0 . Missing 73
1 . 771
2 . 1623
3 . 2098
4 . 1196
5 . 6435
6 . 690
7 . 1189
8 . 1017
9 . 215
10 . 5322
11 . 170
12 . 419
13 . 188 14 . 95
15 . 3648
16 . 83
17 . 150
18 . 179
19 . 92
20 . 2341
21 . 43
22 . 124
23 . 73
24 . 42
25 . 1350
26 . 42
27 . 56
28 . 91
29 . 29 30 . 1542
31 . 18
32 . 75
33 . 36
34 . 18
35 . 513
36 . 11
37 . 29
38 . 32
39 . 9
40 . 525
41 . 9
42 . 15
43 . 14
44 . 13
45 . 635 46 . 15
47 . 31
48 . 29
49 . 14
50 . 365
51 . 9
52 . 21
53 . 22
54 . 9
55 . 219
56 . 10
57 . 9
58 . 14
59 . 4
60 . 533
61 . 5 62 . 18
63 . 15
64 . 9
65 . 138
66 . 4
67 . 10
68 . 7
69 . 8
70 . 154
71 . 10
72 . 13
73 . 13
74 . 6
75 . 227
76 . 3
77 . 17 78 . 6
79 . 4
80 . 125
81 . 5
82 . 4
83 . 9
85 . 61
86 . 5
87 . 7
88 . 5
89 . 1
90 . 204
92 . 4
93 . 6
94 . 3
95 . 44 96 . 1
97 . 19
98 . 2
99 . 2
100 . 59
101 . 2
102 . 2
103 . 6
104 . 3
105 . 67
106 . 3
108 . 2
109 . 1
110 . 60
111 . 1
112 . 3 113 . 1
115 . 37
116 . 1
117 . 2
118 . 2
119 . 2
120 . 108
122 . 3
123 . 1
124 . 1
125 . 32
126 . 3
127 . 4
128 . 3
129 . 2
130 . 41 131 . 5
132 . 1
133 . 1
134 . 1
135 . 24
136 . 2
137 . 1
138 . 2
139 . 1
140 . 25
142 . 1
143 . 1
145 . 11
146 . 1
147 . 2
148 . 1 149 . 1
150 . 39
154 . 1
155 . 10
156 . 1
157 . 1
158 . 1
159 . 1
160 . 18
161 . 1
163 . 1
165 . 8
166 . 1
167 . 2
168 . 3
169 . 1 170 . 7
171 . 4
172 . 4
173 . 1
175 . 16
177 . 1
180 . 36
185 . 6
188 . 1
190 . 16
195 . 11
196 . 1
197 . 2
200 . 8
202 . 1
205 . 8 207 . 1
210 . 30
213 . 2
215 . 2
216 . 1
220 . 3
225 . 5
228 . 1
230 . 12
232 . 1
233 . 1
235 . 1
239 . 1
240 . 12
245 . 4
251 . 1 254 . 1
255 . 6
260 . 3
262 . 1
265 . 4
268 . 1
270 . 5
275 . 3
285 . 6
288 . 4
289 . 1
290 . 2
292 . 1
295 . 1
300 . 6
305 . 1 306 . 1
315 . 3
320 . 3
325 . 2
330 . 8
340 . 1
342 . 1
348 . 1
360 . 11
370 . 1
373 . 1
375 . 1
380 . 1
390 . 2
395 . 3
405 . 5 410 . 2
415 . 1
420 . 5
435 . 1
440 . 1
450 . 5
460 . 1
480 . 3
490 . 2
495 . 1
500 . 1
520 . 3
530 . 1
540 . 1
780 . 1
790 . 1 900 . 1
Range of Valid Data Values: 0 to 900
Summary Statistics:
Minimum : 0
Maximum : 900
Mean : 20.077
Standard deviation : 33.025
Variable Format: numeric Variable: Walking time (reported)
Location: Value Label Frequency Width: 8 0 . 26850
1 . 482
2 . 1093
3 . 696
4 . 332
5 . 2297
6 . 110
7 . 250
8 . 268
9 . 50
10 . 1353
11 . 26
12 . 108
13 . 38 14 . 10
15 . 685
16 . 8
17 . 30
18 . 15
19 . 3
20 . 381
21 . 2
22 . 4
23 . 3
24 . 5
25 . 179
26 . 1
27 . 3
28 . 1
29 . 3 30 . 391
32 . 4
33 . 1
35 . 54
36 . 1
37 . 2
39 . 2
40 . 103
41 . 3
42 . 13
43 . 3
44 . 1
45 . 136
46 . 12
47 . 5
48 . 3 50 . 66
52 . 1
53 . 1
55 . 29
57 . 4
60 . 160
62 . 2
63 . 1
65 . 9
70 . 24
71 . 1
72 . 2
75 . 34
80 . 12
83 . 2
85 . 5 87 . 2
90 . 91
92 . 1
94 . 2
95 . 5
97 . 1
100 . 20
105 . 22
107 . 1
109 . 2
110 . 16
115 . 7
120 . 53
122 . 1
125 . 1
127 . 1 130 . 4
132 . 1
135 . 13
140 . 3
143 . 1
145 . 3
150 . 20
160 . 5
165 . 5
170 . 3
171 . 2
175 . 3
180 . 17
190 . 3
200 . 2
205 . 2 210 . 7
220 . 1
225 . 1
240 . 10
245 . 2
255 . 6
270 . 6
285 . 2
290 . 1
300 . 6
315 . 5
320 . 1
330 . 6
355 . 1
360 . 8
375 . 3 380 . 4
405 . 2
410 . 2
420 . 1
Range of Valid Data Values: 0 to 420
Summary Statistics:
Minimum : 0
Maximum : 420
Mean : 4.602
Standard deviation : 19.417
Variable Format: numeric Variable: Cycling time (reported)
Location: Value Label Frequency Width: 8 0 . 30625
1 . 259
2 . 454
3 . 606
4 . 344
5 . 1100
6 . 151
7 . 379
8 . 204
9 . 34
10 . 823
11 . 18
12 . 91
13 . 45 14 . 19
15 . 575
16 . 8
17 . 14
18 . 16
19 . 5
20 . 354
22 . 3
23 . 5
24 . 1
25 . 164
26 . 2
27 . 1
30 . 162
32 . 1
34 . 1 35 . 30
40 . 45
42 . 1
45 . 39
49 . 1
50 . 19
55 . 7
60 . 40
62 . 1
64 . 5
65 . 2
68 . 1
70 . 7
71 . 2
73 . 1
75 . 17 80 . 6
85 . 2
86 . 3
90 . 6
92 . 1
100 . 1
103 . 1
105 . 4
110 . 3
115 . 3
120 . 16
122 . 2
127 . 1
140 . 1
147 . 1
150 . 1 160 . 1
180 . 11
185 . 2
207 . 1
210 . 2
225 . 1
240 . 2
295 . 1
315 . 1
360 . 1
420 . 2
450 . 2
Range of Valid Data Values: 0 to 450
Summary Statistics:
Minimum : 0
Maximum : 450
Mean : 2.029
Standard deviation : 9.896
Variable Format: numeric Variable: Motorcycling time (reported)
Location: Value Label Frequency Width: 8 0 . 35833
1 . 6
2 . 35
3 . 53
4 . 32
5 . 219
6 . 9
7 . 8
8 . 15
9 . 14
10 . 105
11 . 8
12 . 20
13 . 8 15 . 263
18 . 1
20 . 45
21 . 1
22 . 9
23 . 1
24 . 1
25 . 20
26 . 2
27 . 3
28 . 1
30 . 8
32 . 1
35 . 3
38 . 1
40 . 5 43 . 1
45 . 5
50 . 5
55 . 8
60 . 3
65 . 1
70 . 1
75 . 1
90 . 3
120 . 1
180 . 1
195 . 1
Range of Valid Data Values: 0 to 195
Summary Statistics:
Minimum : 0
Maximum : 195
Mean : 0.321
Standard deviation : 2.979
Variable Format: numeric Variable: Car driver time (reported)
Location: Value Label Frequency Width: 11 0 . 20914
1 . 194
2 . 483
3 . 1064
4 . 690
5 . 2677
6 . 436
7 . 658
8 . 529
9 . 117
10 . 2638
11 . 77
12 . 227
13 . 89 14 . 53
15 . 1513
16 . 46
17 . 69
18 . 109
19 . 75
20 . 1206
21 . 39
22 . 60
23 . 25
24 . 25
25 . 588
26 . 19
27 . 17
28 . 23
29 . 12 30 . 622
31 . 8
32 . 15
33 . 13
34 . 4
35 . 272
36 . 6
37 . 5
38 . 9
39 . 8
40 . 249
41 . 2
42 . 4
43 . 5
44 . 6
45 . 224 46 . 6
47 . 11
48 . 4
49 . 3
50 . 141
51 . 1
52 . 3
53 . 2
54 . 1
55 . 37
56 . 3
57 . 1
58 . 3
60 . 162
61 . 1
62 . 1 63 . 2
64 . 2
65 . 17
69 . 1
70 . 33
71 . 2
72 . 1
73 . 2
75 . 33
77 . 1
78 . 2
80 . 18
82 . 1
83 . 2
85 . 5
88 . 1 90 . 40
91 . 1
92 . 2
93 . 1
94 . 1
95 . 6
97 . 1
100 . 3
105 . 11
106 . 1
110 . 5
113 . 1
120 . 13
125 . 4
126 . 1
130 . 3 135 . 3
145 . 1
150 . 8
155 . 1
160 . 2
167 . 1
172 . 1
180 . 3
190 . 2
200 . 1
205 . 1
210 . 3
225 . 2
230 . 1
240 . 1
268 . 1 270 . 2
285 . 1
289 . 1
300 . 1
375 . 1
450 . 1
510 . 1
Range of Valid Data Values: 0 to 510
Summary Statistics:
Minimum : 0
Maximum : 510
Mean : 6.421
Standard deviation : 13.919
Variable Format: numeric Variable: Car passenger time (reported)
Location: Value Label Frequency Width: 8 0 . 32043
1 . 24
2 . 114
3 . 268
4 . 168
5 . 726
6 . 84
7 . 149
8 . 154
9 . 16
10 . 741
11 . 25
12 . 73
13 . 24 14 . 15
15 . 624
16 . 11
17 . 20
18 . 29
19 . 16
20 . 406
21 . 4
22 . 8
23 . 11
24 . 2
25 . 229
26 . 5
27 . 9
28 . 2
29 . 1 30 . 272
31 . 2
32 . 4
33 . 7
34 . 2
35 . 67
36 . 2
37 . 2
38 . 1
39 . 1
40 . 66
42 . 2
43 . 6
45 . 74
46 . 2
47 . 1 48 . 3
49 . 1
50 . 37
51 . 1
52 . 1
55 . 18
56 . 1
58 . 3
60 . 49
65 . 8
66 . 1
70 . 7
73 . 1
75 . 23
77 . 1
80 . 8 85 . 1
90 . 12
95 . 3
97 . 2
100 . 6
105 . 4
110 . 5
115 . 1
120 . 6
125 . 3
126 . 1
130 . 5
135 . 1
140 . 2
145 . 1
150 . 4 155 . 1
160 . 3
163 . 1
165 . 2
167 . 1
170 . 2
172 . 1
180 . 2
185 . 1
190 . 4
200 . 1
205 . 1
210 . 3
225 . 1
240 . 1
270 . 1 275 . 1
360 . 1
1230 . 1
Range of Valid Data Values: 0 to 1230
Summary Statistics:
Minimum : 0
Maximum : 1230
Mean : 2.274
Standard deviation : 11.746
Variable Format: numeric Variable: Bus time (reported)
Location: Value Label Frequency Width: 8 0 . 34727
2 . 9
3 . 25
4 . 35
5 . 295
6 . 72
7 . 126
8 . 79
9 . 10
10 . 466
11 . 20
12 . 82
13 . 21
14 . 14 15 . 266
16 . 24
17 . 10
18 . 8
19 . 2
20 . 237
21 . 6
22 . 2
23 . 1
24 . 1
25 . 46
26 . 2
28 . 3
30 . 49
31 . 1
34 . 1 35 . 18
36 . 1
37 . 2
38 . 2
39 . 3
40 . 9
43 . 4
45 . 8
47 . 1
50 . 6
53 . 1
59 . 2
60 . 9
67 . 1
68 . 1
70 . 2 74 . 2
75 . 4
80 . 3
90 . 2
93 . 1
95 . 2
100 . 2
105 . 2
110 . 1
120 . 4
132 . 1
140 . 1
149 . 1
150 . 1
180 . 3
190 . 1 195 . 3
200 . 3
225 . 5
228 . 1
230 . 2
251 . 1
420 . 2
480 . 1
780 . 1
790 . 1
Range of Valid Data Values: 0 to 790
Summary Statistics:
Minimum : 0
Maximum : 790
Mean : 0.961
Standard deviation : 9.62
Variable Format: numeric Variable: Railroad time (reported)
Location: Value Label Frequency Width: 8 0 . 34885
2 . 1
3 . 8
4 . 1
5 . 16
6 . 6
7 . 13
8 . 3
10 . 45
11 . 26
12 . 32
13 . 8
14 . 4
15 . 111 16 . 1
17 . 8
18 . 11
19 . 14
20 . 186
21 . 7
22 . 43
23 . 13
24 . 7
25 . 62
26 . 4
27 . 2
29 . 3
30 . 168
31 . 1
32 . 7 33 . 8
34 . 3
35 . 36
36 . 2
37 . 2
38 . 3
39 . 21
40 . 245
41 . 17
42 . 10
43 . 32
44 . 26
45 . 112
49 . 4
50 . 67
51 . 3 53 . 14
54 . 1
55 . 7
56 . 1
57 . 2
58 . 4
60 . 77
61 . 2
62 . 7
63 . 10
65 . 2
67 . 1
68 . 5
70 . 11
75 . 11
76 . 1 77 . 3
78 . 1
80 . 4
82 . 2
83 . 6
85 . 12
86 . 3
87 . 1
90 . 72
92 . 2
95 . 28
97 . 5
98 . 1
100 . 13
101 . 2
104 . 1 105 . 6
107 . 2
108 . 1
110 . 13
112 . 1
113 . 2
115 . 3
116 . 1
118 . 1
119 . 1
120 . 25
121 . 1
122 . 2
123 . 1
124 . 18
125 . 3 126 . 1
127 . 1
130 . 2
134 . 2
136 . 1
140 . 1
147 . 1
148 . 2
150 . 9
152 . 1
153 . 1
155 . 2
162 . 1
163 . 1
165 . 5
168 . 2 170 . 1
177 . 1
180 . 9
181 . 4
185 . 2
194 . 1
195 . 2
198 . 1
200 . 2
205 . 1
220 . 1
228 . 1
229 . 1
237 . 2
239 . 2
240 . 3 244 . 1
250 . 1
275 . 3
320 . 2
325 . 2
360 . 4
780 . 1
Range of Valid Data Values: 0 to 780
Summary Statistics:
Minimum : 0
Maximum : 780
Mean : 2.474
Standard deviation : 14.957
Variable Format: numeric Variable: Other travel time (reported)
Location: Value Label Frequency Width: 8 0 . 36306
1 . 5
2 . 37
3 . 62
4 . 2
5 . 67
6 . 2
7 . 7
8 . 2
10 . 73
11 . 2
12 . 18
13 . 2
15 . 33 17 . 1
19 . 1
20 . 13
25 . 12
27 . 1
30 . 22
35 . 7
40 . 10
45 . 6
50 . 8
55 . 6
60 . 12
65 . 1
67 . 2
70 . 1
75 . 7 90 . 5
95 . 1
100 . 1
105 . 6
115 . 1
120 . 6
130 . 1
135 . 3
150 . 1
165 . 1
210 . 5
300 . 2
Range of Valid Data Values: 0 to 300
Summary Statistics:
Minimum : 0
Maximum : 300
Mean : 0.305
Standard deviation : 5.147
Variable Format: numeric Variable: Sum of all travel times by transport mode in minutes (coded)
Location: Value Label Frequency Width: 8 1 . 1-5min 12319
2 . >5-10min 8488
3 . >10-30min 10696
4 . >30-60min 3331
5 . 1-5 Std 1819
6 . >5 Std 73
Range of Valid Data Values: 1 to 6
Summary Statistics:
Minimum : 1
Maximum : 6
Variable Format: numeric Variable: Living area
Location: Value Label Frequency Width: 11 1 . Frauenfeld 16706
2 . Seerücken 20055
Range of Valid Data Values: 1 to 2
Summary Statistics:
Minimum : 1
Maximum : 2
Variable Format: numeric Variable: Trip number
Location: Range of Valid Data Values: 1 to 36824
Width: 11 Summary Statistics:
Minimum : 1
Maximum : 36824
Mean : 18434.987
Standard deviation : 10621.148
Variable Format: numeric Variable: Date
Location: Summary Statistics:
Width: 11 Minimum : 2003-08-04
Maximum : 2003-12-21
Variable Format: numeric Variable: Week of survey
Location: Range of Valid Data Values: 1 to 1384
Width: 11 Summary Statistics:
Minimum : 1
Maximum : 1384
Mean : 686.82
Standard deviation : 398.632
Variable Format: numeric Variable: Day of week
Location: Value Label Frequency Width: 11 1 . Monday 5591
2 . Tuesday 5863
3 . Wednesday 5526
4 . Thursday 5573
5 . Friday 5823
6 . Saturday 4926
7 . Sunday 3459
Range of Valid Data Values: 1 to 7
Summary Statistics:
Variable Format: numeric Variable: Trip number on that day
Location: Value Label Frequency Width: 9 1 . 8521
2 . 8107
3 . 6301
4 . 5222
5 . 3199
6 . 2261
7 . 1285
8 . 789
9 . 460
10 . 275
11 . 151
12 . 80
13 . 45
14 . 30 15 . 15
16 . 9
17 . 4
18 . 1
19 . 1
20 . 1
21 . 1
22 . 1
23 . 1
24 . 1
Range of Valid Data Values: 1 to 24
Summary Statistics:
Minimum : 1
Maximum : 24
Mean : 3.278
Standard deviation : 2.207
Variable Format: numeric Variable: Purpose coded as in Mobidrive
Location: Value Label Frequency Width: 8 1 . Pick up/Drop off 1325
2 . Private business 2021
3 . Work related 1696
4 . School 2487
5 . Work 3706
6 . Shopping daily 2070
7 . Shopping long-term 960
8 . Leisure 8702
9 . Other 164
10 . Home 13630
Range of Valid Data Values: 1 to 10
Summary Statistics:
Minimum : 1
Maximum : 10
Variable Format: numeric Variable: Purpose coded as in city:mobil
Location: Value Label Frequency Width: 9 1 . Work 3700
2 . Work related 68
3 . Education 4471
4 . Further education (leisure) 92
5 . Pick up/drop off/attendance 1342
6 . Daily shopping 2032
7 . Long-term shopping 993
8 . Window shopping 80
9 . Private business 25
10 . Meeting relatives/family 1211
11 . Meeting friends 521
12 . Group/club meeting 845
13 . Private business (doctor, therapy) 25
14 . Car care and refuelling 16 15 . Active sports 1143
16 . Excursion: nature 652
17 . Walk or stroll 1189
18 . Short vacation 228
19 . Garden/ cottage 136
20 . Excursion: culture 720
21 . Disco, pub, restaurant, cinema 1584
22 . Home 13624
23 . Other 186
24 . cemetery 34
25 . voluntary work 167
26 . Family duty 37
28 . 1
Sysmiss . 1639
Range of Valid Data Values: 1 to 28
Summary Statistics:
Variable Format: numeric Variable: Purpose orginial coding
Location: Value Label Frequency Width: 11 1 . Pick up/drop off 1325
2 . Service 2021
3 . Business 1696
4 . Education 2487
5 . Work 3706
6 . Shopping daily 2070
7 . Shopping non-daily 960
8 . Miscellaneous 164
9 . Home 13630
10 . Leisure 8702
Range of Valid Data Values: 1 to 10
Summary Statistics:
Variable Format: numeric Variable: Leisure purpose
Location: Summary Statistics:
Width: 50 Variable Format: character Variable: Other purpose
Location: Value Label Frequency Width: 33 Abfall entsorgen . 3
Abgeben Militär . 1
Altglasentsorgung . 1
Arzttermin . 1
Auskunft Eltern . 1
Auto abholen . 1
Auto abholen aus Service . 1
Auto abstellen . 1
Auto tanken . 1
Auto waschen . 1
Autoaustausch . 1
Autoservice . 1
Bahnhof . 1
Beerdigung . 11 Besprechung . 1
Besprechung/Sitzung . 1
Bestellung abholen . 1
Beton holen . 1
Betriebsausflug . 7
Bildhauer . 1
Bundesübung . 1
Coiffeur . 1
Dorfmarkt . 3
Einkauf Lang- und kurzfristig . 15
Einkauf kurz- und langfristig . 11
Entsorgung von Glas / Karton . 1
Exkursion . 1
Fahrprüfung . 1
Fahrt über Land . 1
Farbenballvorbereitung . 1 Fassadenreinigung . 1
Feldarbeit . 3
Feuerwehr . 8
Feuerwehr Übung . 3
Feuerwehrübung . 1
Firmenausflug . 1
Fortbildung . 5
Friedhof . 3
Friedhof Beerdigung . 1
Galadinner . 1
Geschäftsausflug . 5
Gras mähen . 3
Grillfest . 1
Hallenbad mit Schule . 1
Hausbesichtigung . 1
Heuernte . 1 Hochzeit . 3
Holzen . 1
Hospitaton . 1
Hotel . 1
Hotel du Pont . 1
Hotelbezug . 7
Intervision . 1
Jauche ausbringen . 4
Job . 1
Kanti-Jubiläum . 1
Karton Altglas . 1
Konfunti . 1
Lehrerausflug rekognoszieren . 1
Leichenmahl . 1
Massage . 2
Milch bringen . 1 Milch liefern . 1
Milchhütte . 4
Milchmann . 1
Militärdienst . 1
Naturmorgen im Wald . 1
Nebenbeschäftigung . 5
Nisthöhlentransport . 1
OL . 1
Pflaumen ablesen . 1
Physio . 1
Pizza holen . 1
Polizei . 1
Praxisparkplatz . 1
RAV, Stempeln . 1
Religion . 3
Religionsunterricht . 1 Robidogs leeren . 1
Rundgang . 1
Schnupperlehre . 2
Schulanlass . 1
Schulausflug . 1
Schulumzug . 2
Schulvorbereitung . 1
Schwimmunterricht . 1
Servieren . 1
Sitzung . 3
Spitalaufenthalt . 1
Streckenabo lösen . 1
Teamausflug . 9
Termin vereinbaren . 1
Therapie . 1
Tierarzt . 1 Turnunterricht . 1
Verkehrskadetten . 4
Vertrag unterschreiben . 1
Vorstandssitzung Orchester . 1
Vorstellungsgespräch . 3
Wahlhilfe . 1
Weibeldienst . 6
Weinlese . 1
Weiterbildung . 2
Wohnungsbesichtigung . 1
Wümmen . 3
Zahnarzt . 2
Zivildienstanhörung . 1
Zum Hotel . 1
Zurück zu Hotel . 7 abdankung . 1 abfallentsorgung . 1 autopanne . 1 autowerkstatt . 2 beerdigung . 8 begleitung . 2 besichtigung . 1 betriebsausflug . 1 coiffeure . 5 flaschen entsorgen . 1 geburtstagssingen . 1 grünzeug entsorgen . 1 heerenberg . 1 heim-ferien-woche-tessin . 1 herenberg . 1 ink.hund ausführen . 1 jubiläumsveranstaltung . 1 kirchliche Trauung Schwester . 1 klassenlager . 1 lagerhaus . 1 mit Spaziergang durch Bahnhofstr. 1 mitarbeiter verabschiedung . 1 nebenbeschäftigung . 16 probe . 1 schnupperlehre . 2 seminar . 2 sonntagsschule . 1 sporttag . 1 trainings ort verwechselt . 1 via pfarrei-sekretariat . 1 via tankstelle . 1 via thundorferstr./erliwies . 1 waldspaziergang . 1 wandern mit schule . 2
zahnarzt . 3
zivile Trauung . 2
zum Bahnhof . 1
zum Hausarzt . 1
zum bahnhof . 1
zurück ins Hotel . 1
zurück zu Hotel . 14
zurück zum Hotel . 2
zurück zur Unterkunft . 1
Übernachten . 1
Übernachtung bei Kollegin . 1
übernachten . 1
Summary Statistics:
Variable Format: character Variable: Main mode
Location: Value Label Frequency Width: 11 0 . Unknown 0
1 . Rail 1877
2 . Bus 1300
3 . Car driver 15584
4 . Car passenger 4423
5 . Motorcycle 782
6 . Cycle 5544
7 . Walking 6832
8 . Other 419
Range of Valid Data Values: 0 to 8
Summary Statistics:
Variable Format: numeric Variable: Main mode aggregated
Location: Value Label Frequency Width: 8 0 . unknown 0
1 . public transport 3177
2 . private transport 20789
3 . slow transport (cycle, walking) 12376
4 . other 419
Range of Valid Data Values: 0 to 4
Summary Statistics:
Minimum : 1
Maximum : 4
Variable Format: numeric Variable: Walking distance in meter from parking space/ public transport stop to destination (reported)
Location: Value Label Frequency Width: 11 0 . Missing 27324
1 . 18
2 . 54
3 . 102
4 . 12
5 . 363
6 . 6
7 . 2
8 . 30
9 . 1
10 . 910
11 . 1
12 . 14
14 . 1 15 . 135
17 . 1
18 . 6
19 . 1
20 . 978
22 . 1
25 . 103
30 . 706
35 . 38
40 . 86
45 . 3
50 . 988
60 . 90
70 . 84
75 . 52
80 . 80 85 . 1
90 . 3
100 . 645
110 . 4
120 . 12
130 . 2
140 . 1
150 . 303
160 . 3
170 . 1
180 . 4
200 . 448
220 . 1
230 . 1
250 . 73
260 . 1 300 . 490
350 . 7
400 . 179
450 . 15
480 . 1
500 . 281
510 . 8
550 . 7
560 . 22
600 . 100
650 . 16
700 . 17
750 . 3
800 . 101
850 . 5
900 . 55 1000 . 74
1100 . 2
1150 . 5
1200 . 12
1250 . 4
1300 . 3
1400 . 1
1450 . 4
1500 . 71
1580 . 1
1600 . 1
1664 . 1
1700 . 1
1800 . 2
1900 . 2
2000 . 9 2200 . 2
2500 . 7
3000 . 7
3800 . 1
4900 . 1
5000 . 1
5550 . 2
Sysmiss . 1547
Range of Valid Data Values: 0 to 5550
Summary Statistics:
Minimum : 0
Maximum : 5550
Mean : 36.421
Standard deviation : 160.104
Variable Format: numeric Variable: trip distance in meter (reported)
Location: Value Label Frequency Width: 11 -999 . Missing 326
10 . 9
15 . 2
20 . 58
30 . 52
40 . 18
50 . 230
60 . 30
65 . 2
70 . 13
80 . 29
90 . 2
100 . 349
110 . 1 111 . 1
120 . 15
130 . 1
150 . 453
160 . 6
175 . 2
180 . 102
200 . 681
250 . 99
260 . 2
280 . 1
300 . 1071
350 . 56
400 . 838
420 . 1
450 . 43 480 . 2
500 . 1179
520 . 2
550 . 8
600 . 371
650 . 23
700 . 330
710 . 17
750 . 32
760 . 2
800 . 824
850 . 64
900 . 345
950 . 53
1000 . 2154
1002 . 1 1030 . 2
1050 . 7
1080 . 2
1100 . 244
1150 . 28
1200 . 674
1225 . 1
1250 . 58
1300 . 299
1350 . 2
1400 . 311
1440 . 1
1500 . 865
1530 . 1
1550 . 3
1600 . 224 1630 . 2
1650 . 2
1664 . 7
1680 . 1
1700 . 140
1750 . 5
1800 . 144
1850 . 18
1900 . 123
2000 . 1947
2010 . 5
2020 . 1
2100 . 150
2200 . 133
2250 . 18
2300 . 137 2350 . 4
2400 . 113
2450 . 2
2500 . 799
2550 . 1
2600 . 69
2700 . 45
2800 . 85
2900 . 38
3000 . 1473
3020 . 5
3100 . 101
3150 . 8
3200 . 74
3300 . 134
3400 . 77 3500 . 398
3550 . 2
3570 . 2
3600 . 53
3650 . 1
3700 . 10
3750 . 2
3800 . 124
3830 . 2
3900 . 44
3960 . 2
4000 . 1607
4020 . 2
4050 . 3
4100 . 29
4200 . 78 4250 . 3
4280 . 1
4300 . 38
4360 . 2
4400 . 33
4500 . 384
4550 . 3
4600 . 78
4650 . 1
4700 . 38
4750 . 5
4800 . 36
4850 . 2
4900 . 19
5000 . 1409
5020 . 2 5030 . 2
5040 . 2
5050 . 11
5080 . 2
5100 . 13
5150 . 3
5200 . 160
5250 . 1
5300 . 26
5400 . 16
5450 . 2
5500 . 182
5550 . 2
5600 . 20
5664 . 2
5700 . 8 5800 . 10
5900 . 9
6000 . 677
6100 . 9
6200 . 25
6250 . 2
6300 . 8
6400 . 9
6450 . 1
6500 . 168
6550 . 2
6600 . 17
6700 . 27
6800 . 10
6900 . 5
7000 . 477 7100 . 12
7150 . 4
7200 . 19
7250 . 2
7300 . 14
7400 . 67
7450 . 2
7500 . 105
7600 . 63
7700 . 16
7800 . 29
7900 . 10
8000 . 632
8080 . 1
8100 . 28
8200 . 29 8300 . 22
8400 . 16
8450 . 2
8500 . 45
8600 . 43
8700 . 34
8750 . 6
8800 . 11
8900 . 9
9000 . 290
9020 . 1
9100 . 10
9150 . 6
9200 . 17
9300 . 9
9400 . 15 9450 . 3
9500 . 69
9600 . 91
9700 . 27
9750 . 2
9800 . 23
9900 . 13
10000 . 711
10003 . 1
10005 . 2
10100 . 29
10200 . 32
10300 . 30
10400 . 20
10500 . 44
10600 . 52 10700 . 10
10800 . 17
10900 . 11
11000 . 143
11100 . 8
11200 . 6
11300 . 12
11400 . 12
11450 . 2
11500 . 30
11600 . 8
11700 . 10
11800 . 11
11900 . 8
12000 . 442
12050 . 1 12100 . 9
12200 . 14
12300 . 6
12350 . 1
12400 . 2
12500 . 49
12600 . 137
12700 . 12
12800 . 10
12900 . 4
13000 . 250
13050 . 4
13100 . 4
13200 . 10
13300 . 9
13400 . 3 13450 . 3
13500 . 45
13600 . 1
13650 . 6
13700 . 2
13800 . 1
13900 . 20
14000 . 129
14050 . 3
14080 . 1
14100 . 4
14200 . 8
14300 . 3
14330 . 1
14400 . 5
14500 . 12 14600 . 3
14700 . 7
14800 . 3
14900 . 5
15000 . 827
15100 . 7
15200 . 11
15300 . 20
15400 . 14
15450 . 1
15500 . 12
15600 . 7
15700 . 13
15800 . 10
15900 . 10
16000 . 214 16100 . 13
16150 . 3
16200 . 11
16300 . 10
16400 . 7
16500 . 19
16600 . 3
16700 . 6
16800 . 8
16900 . 2
17000 . 167
17100 . 10
17150 . 3
17200 . 10
17300 . 19
17400 . 9 17450 . 2
17500 . 101
17600 . 49
17700 . 15
17800 . 7
17900 . 4
18000 . 315
18070 . 2
18100 . 3
18200 . 5
18230 . 2
18300 . 7
18400 . 9
18500 . 8
18600 . 2
18700 . 8 18800 . 4
18900 . 2
19000 . 51
19100 . 1
19200 . 7
19300 . 3
19400 . 1
19500 . 6
19600 . 1
19700 . 3
19800 . 4
19900 . 3
20000 . 568
20003 . 1
20020 . 2
20100 . 9 20200 . 12
20300 . 12
20400 . 2
20500 . 7
20600 . 1
20700 . 1
20800 . 5
20850 . 2
21000 . 88
21010 . 3
21030 . 2
21050 . 2
21100 . 8
21200 . 31
21300 . 2
21400 . 4 21500 . 11
21600 . 8
21800 . 4
21900 . 2
22000 . 140
22100 . 14
22200 . 52
22500 . 27
22600 . 3
22700 . 1
22800 . 1
22900 . 3
23000 . 63
23100 . 6
23150 . 2
23160 . 2 23300 . 5
23400 . 8
23500 . 4
23550 . 1
23600 . 3
23700 . 1
23800 . 2
23850 . 11
23900 . 1
24000 . 65
24200 . 6
24300 . 5
24400 . 10
24500 . 3
24600 . 1
24700 . 5 24800 . 5
24900 . 2
25000 . 374
25100 . 4
25200 . 4
25300 . 3
25400 . 2
25500 . 34
25600 . 4
25700 . 2
25800 . 2
25900 . 3
26000 . 32
26200 . 1
26300 . 7
26400 . 3 26500 . 15
26600 . 2
26700 . 1
26800 . 4
27000 . 58
27100 . 1
27180 . 2
27200 . 2
27300 . 1
27400 . 2
27500 . 9
27600 . 5
27700 . 3
27800 . 3
27850 . 1
27900 . 3 28000 . 74
28050 . 2
28100 . 6
28300 . 6
28500 . 1
28700 . 3
28800 . 5
29000 . 67
29100 . 1
29200 . 1
29300 . 1
29400 . 3
29500 . 8
29600 . 1
29700 . 3
29800 . 1 29900 . 1
30000 . 301
30005 . 1
30020 . 2
30200 . 4
30300 . 3
30450 . 4
30500 . 4
30600 . 1
30800 . 2
30850 . 2
30900 . 2
30980 . 1
31000 . 23
31200 . 3
31500 . 2 31900 . 1
32000 . 100
32010 . 2
32020 . 30
32030 . 2
32100 . 2
32200 . 4
32500 . 1
32600 . 1
33000 . 68
33100 . 2
33200 . 1
33300 . 1
33400 . 1
33500 . 3
33800 . 1 34000 . 36
34020 . 1
34200 . 3
34300 . 2
34400 . 1
34600 . 3
34800 . 2
34900 . 1
35000 . 136
35300 . 1
35500 . 4
35600 . 1
35800 . 2
36000 . 62
36030 . 1
36100 . 6 36200 . 7
36300 . 2
36500 . 1
36700 . 4
36800 . 1
36900 . 1
37000 . 22
37100 . 1
37200 . 3
37300 . 1
37400 . 1
37450 . 1
37500 . 48
37600 . 3
37700 . 1
38000 . 18 38100 . 2
38300 . 4
38600 . 2
38900 . 1
39000 . 34
39100 . 1
39400 . 1
39500 . 2
39600 . 1
40000 . 193
40006 . 2
40100 . 33
40200 . 3
40250 . 1
40300 . 3
40500 . 3 40700 . 2
40800 . 1
40900 . 1
41000 . 14
41200 . 2
41400 . 2
41700 . 1
41800 . 2
42000 . 46
42100 . 1
42150 . 18
42400 . 2
42500 . 15
42600 . 8
42700 . 2
43000 . 24 43200 . 1
43600 . 2
43700 . 2
43900 . 4
44000 . 20
44150 . 8
44200 . 1
44300 . 1
44400 . 1
44500 . 8
44600 . 3
44900 . 1
45000 . 283
45100 . 2
45200 . 3
45800 . 1 46000 . 18
46200 . 3
46400 . 5
46500 . 9
46700 . 1
46750 . 1
46800 . 1
46900 . 2
47000 . 66
47100 . 1
47300 . 1
47400 . 3
47500 . 5
47600 . 4
47700 . 8
47800 . 5 48000 . 33
48100 . 1
48200 . 1
48300 . 1
48400 . 2
48500 . 8
48600 . 4
48800 . 1
49000 . 40
49100 . 3
49300 . 1
49500 . 1
49600 . 8
50000 . 317
50100 . 4
50800 . 1 50900 . 1
51000 . 5
51100 . 1
51400 . 2
51500 . 5
51700 . 2
51900 . 1
52000 . 23
52150 . 1
52300 . 2
52400 . 1
52700 . 1
52900 . 1
53000 . 7
53900 . 1
54000 . 4 54200 . 2
54400 . 2
54500 . 1
54600 . 2
55000 . 58
55100 . 1
55500 . 3
55600 . 4
55700 . 3
55800 . 1
56000 . 85
56500 . 1
56600 . 1
57000 . 8
57300 . 1
57500 . 2 57600 . 2
57900 . 1
58000 . 17
58100 . 1
58200 . 1
58300 . 1
58500 . 2
59000 . 14
59100 . 1
59300 . 2
59600 . 1
60000 . 137
60700 . 2
61000 . 11
61100 . 2
61700 . 1 62000 . 8
63000 . 13
63600 . 1
64000 . 9
64100 . 2
64500 . 2
65000 . 40
66000 . 21
66200 . 1
66900 . 2
67000 . 37
67100 . 2
68000 . 1
68400 . 1
68500 . 1
68600 . 2 69000 . 3
70000 . 33
70500 . 2
71000 . 1
71900 . 1
72000 . 3
72100 . 1
73000 . 33
73650 . 2
73800 . 1
74000 . 2
74300 . 1
74600 . 3
75000 . 17
75400 . 2
75700 . 3 76000 . 21
76100 . 1
76200 . 1
76300 . 1
76800 . 2
77000 . 2
77300 . 1
77700 . 2
78000 . 17
78003 . 1
78900 . 1
79000 . 3
80000 . 30
80650 . 1
80800 . 1
81400 . 1 82000 . 3
82200 . 1
83000 . 4
83700 . 1
83800 . 4
84000 . 2
84800 . 1
85000 . 15
85700 . 1
86000 . 3
87000 . 7
88000 . 2
90000 . 11
90500 . 3
91000 . 3
92000 . 2 93000 . 2
93100 . 2
93200 . 1
94800 . 1
95000 . 6
95500 . 1
95800 . 2
96000 . 6
96100 . 1
96200 . 2
96400 . 1
97000 . 1
98000 . 2
98500 . 2
100000 . 17
100006 . 2 100250 . 2
102000 . 9
102600 . 1
103000 . 1
103200 . 1
104000 . 2
105000 . 6
105500 . 2
106000 . 2
107000 . 1
107800 . 2
108000 . 5
110000 . 32
110300 . 2
110800 . 1
111000 . 4 111700 . 1
112000 . 5
113000 . 2
114004 . 1
114700 . 1
115000 . 9
116000 . 2
117000 . 2
120000 . 7
122100 . 1
122700 . 1
123000 . 2
123500 . 1
124600 . 1
125000 . 13
126000 . 3 126200 . 1
126500 . 1
127200 . 1
127500 . 1
128000 . 3
129000 . 3
130000 . 18
133000 . 1
134700 . 1
135000 . 4
135450 . 1
140000 . 3
142000 . 5
144000 . 1
145000 . 3
148900 . 2 149000 . 2
149030 . 2
150000 . 6
150001 . 1
150003 . 1
150100 . 1
153000 . 1
154000 . 2
155000 . 4
156000 . 2
157000 . 1
158000 . 3
160000 . 7
163000 . 4
165000 . 1
166000 . 1 168000 . 2
170000 . 7
171000 . 1
172000 . 4
175000 . 2
178000 . 1
180000 . 25
181000 . 1
181400 . 2
182000 . 2
183000 . 3
185000 . 2
187400 . 1
190000 . 5
196200 . 1
199000 . 2 200000 . 9
206300 . 4
208000 . 2
208100 . 2
210000 . 4
213000 . 2
214000 . 1
218800 . 2
219000 . 4
221000 . 2
224600 . 2
225000 . 1
235000 . 2
240000 . 1
250000 . 11
260000 . 1 264100 . 2
265000 . 1
267600 . 1
270000 . 12
277600 . 1
278000 . 1
279000 . 4
280000 . 7
285000 . 1
299010 . 2
300000 . 13
305000 . 3
305900 . 1
306000 . 2
311100 . 1
335000 . 1 348300 . 2
350000 . 1
372400 . 1
430000 . 2
521500 . 1
582000 . 1
710000 . 1
797000 . 1
820000 . 1
Sysmiss . 96
Range of Valid Data Values: -999 to 820000
Summary Statistics:
Minimum : -999
Maximum : 820000
Mean : 10830.892
Standard deviation : 24134.335
Variable Format: numeric Variable: Origin address id
Location: Range of Valid Data Values: 1 to 36789
Width: 11 Summary Statistics:
Variable Format: numeric Variable: Origin address
Location: Summary Statistics:
Width: 39 Variable Format: character Variable: Origin postal code
Location: Range of Valid Data Values: 1000 to 79862
Width: 11 Summary Statistics:
Variable Format: numeric Variable: Origin Municipality
Location: Value Label Frequency Width: 30 A- Feldkirch . 3
Aadorf . 60
Aarau . 6
Aawangen . 11
Abtwil . 1
Adlikon . 3
Affeltrangen . 5
Affoltern am Albis . 5
Agno . 6
Albeuve . 33
Albis ZH . 1
Alt St.Johann . 1
Altdorf (SH) . 2
Altdorf (UR) . 2 Alten . 5
Altendorf . 1
Alterswilen . 6
Altheim bei Frickingen (D) . 1
Altikon . 15
Altnau . 6
Amden . 1
Amlikon . 2
Ammenhausen . 1
Amriswil . 19
Andelfingen . 27
Andiast . 1
Andwil (SG) . 1
Anetswil . 1
Appenzell . 20
Arbon . 44 Arlesheim . 1
Arnegg . 2
Ascona . 4
Attikon . 2
Au (SG) . 2
Avry-sur-Matran . 1
BREGENZ (A) . 1
BREGENZ (Ö) . 8
Baar . 7
Bachs . 5
Bad Mergentheim . 1
Bad Pfäfers (GR) . 1
Bad Ragaz . 2
Baden . 36
Balsthal . 4
Balterswil . 63 Bargen (SH) . 2
Barzheim . 2
Basadingen . 33
Basel . 23
Bassersdorf . 18
Bauma . 3
Bazenheid . 3
Beatenberg . 1
Beggingen . 1
Beinwil (SO) . 3
Beinwil am See . 1
Bellinzona . 1
Belmont-sur-Lausanne . 4
Benken (SG) . 1
Benken (ZH) . 1
Berg . 1 Berg (SG) . 2
Berg (TG) . 2
Berg am Irchel . 2
Berikon . 1
Beringen . 1
Berlens . 32
Berlingen . 1346
Bern . 93
Berneck . 2
Bertschikon . 5
Bethelhausen . 1
Bettwiesen . 14
Bezau Österreich . 1
Biasca . 2
Biberist . 5
Bibern (SH) . 3 Biberstein . 1
Biel (BE) . 3
Binningen BL . 1
Birmensdorf (ZH) . 1
Bischofszell . 29
Bissegg . 16
Bonau . 4
Bottighofen . 13
Boudevilliers . 1
Boudry . 1
Braunau . 2
Brenzikofen . 1
Brienz (BE) . 7
Brig . 6
Brissago . 2
Bronschhofen . 1 Brugg . 17
Brunnadern . 2
Brünig . 2
Brüttisellen . 1
Bubendorf . 1
Bubikon . 3
Buch . 2
Buch (SH) . 1
Buch am Irchel . 20
Buch bei Frauenfeld . 397
Buchs . 4
Buchs (AG) . 1
Burgdorf . 2
Bussnang . 3
Busswil (TG) . 13
Bächli . 2 Bönigen . 7
Bülach . 29
Bürglen . 3
Bürglen (TG) . 9
Bürglen (UR) . 1
Büsingen (D) . 2
Caslano . 1
Celerina/Schlarigna . 4
Champex . 4
Chiasso . 2
Chur . 15
Châtonnaye . 35
Contone . 2
D - SINGEN . 2
D- BAD HOMBUR . 2
D- Gailingen . 2 D- HALLAU . 1
D- MEERSBURG . 2
D- ROTTWEIL . 1
D- Rielasingen . 1
D- SINGEN . 1
D-BONNDORF . 3
D-GAILINGEN . 29
D-Gailingen . 1
D-HOLZSCHLAG . 3
D-LOTTENBACH . 1
D-RIELASINGEN . 1
D-Rust . 1
Dachsen . 3
Davos . 1
Davos Platz . 2
Derendingen . 2 Dettighofen . 543
Dettighofen bei Lanzenneunforn . 104
Dicken . 2
Diemtigen . 1
Diepoldsau . 3
Diesbach (GL) . 1
Diessenhofen . 129
Dietikon . 4
Dietingen . 1
Dietlikon . 24
Dinhard . 11
Dorf . 1
Dozwil . 2
Dussnang . 5
Dägerlen . 1
Dörflingen . 3 Dübendorf . 35
Dürnten . 6
EVIAN (F) . 4
Ebenalp (Wasserauen) . 1
Ebnat-Kappel . 9
Effretikon . 7
Eglisau . 1
Egnach . 4
Einsiedeln . 15
Elgg . 14
Ellikon an der Thur . 25
Elsau . 26
Embrach . 20
Emmen . 9
Emmetbühl . 1
Engelberg . 2 Engwang . 10
Engwilen . 7
Entlebuch . 2
Erlach . 3
Ermatingen . 91
Ermenswil . 4
Eschenz . 36
Eschikofen . 2
Eschlikofen . 1
Eschlikon . 12
Estavayer-le-Lac . 2
Etagnières . 6
Ettenhausen . 3
Etzwilen . 2
FRIEDRICHSHAFEN (D) . 3
Falera . 2 Felben . 3
Felben-Wellhausen . 149
Feuerthalen . 18
Filzbach . 1
Fischenthal . 3
Fischingen . 13
Flaach . 7
Flamatt . 1
Flawil . 1
Flims . 4
Flums . 6
Flurlingen . 1
Flüelen . 1
Fraubrunnen . 1
Frauenfeld . 15185
Freienbach . 1 Fribourg . 1
Friltschen . 1
Fruthwilen . 1
Frutigen . 1
Fällanden . 4
Gachnang . 102
Gais . 3
Gams . 1
Gebenstorf . 2
Genf . 1
Gerlikon . 13
Glarus . 6
Glattbrugg . 3
Glaubenbielipass . 1
Gloten . 1
Gockhausen . 4 Goldach . 2
Goldau . 2
Goldingen . 1
Gommiswald . 2
Gossau (SG) . 47
Gossau (ZH) . 10
Gottshaus . 3
Graltshausen . 1
Greifensee . 2
Grindelwald . 18
Gruyères . 4
Gränichen . 1
Gräslikon . 1
Grüningen . 1
Grüt . 4
Gundetswil . 2 Guntalingen . 10
Guntershausen bei Aadorf . 3
Gächlingen . 2
Gündelhart . 1
Gündelhart-Hörhausen . 5
Güttingen . 2
Habsburg . 2
Hagenbuch . 2
Halden . 2
Hallau . 3
Happerswil-Buch . 1
Hasliberg . 22
Hauptwil . 2
Hausen am Albis . 1
Hefenhausen . 1
Hefenhofen . 1 Heimberg BE . 1
Hemberg . 2
Hemishofen . 5
Hemmental . 3
Henggart . 3
Herbligen . 2
Herden . 1
Herdern . 1054
Hergiswil (NW) . 1
Herisau . 5
Herrliberg . 3
Hettlingen . 31
Hinterhomburg . 3
Hinwil . 4
Hirschthal . 2
Hochfelden . 1 Hohentannen . 2
Hombrechtikon . 24
Homburg . 1372
Horben . 17
Horgen . 1
Horw . 10
Hundwil . 3
Husemersee . 1
HÖHENSCHWAND (D) . 1
Härkingen . 2
Häuslenen . 6
Hörhausen . 320
Hütten . 5
Hüttlingen . 3
Hüttwilen . 1145
Ilanz . 2 Illighausen . 1
Illnau-Effretikon . 4
Ingenbohl . 1
Interlaken . 5
Iselisberg . 10
Islikon . 162
Ittigen . 3
Jakobsbad . 5
Jona . 1
Jonschwil . 8
KONSTANZ (D) . 170
Kaiserstuhl . 5
Kalchrain . 1
Kaltenbach . 7
Kefikon . 2
Kemptthal . 3 Kerzers . 3
Kirchberg (SG) . 3
Kleinandelfingen . 100
Kleine Scheidegg . 2
Kleinteil . 1
Kloten . 35
Koblenz . 4
Kradolf . 5
Kreuzlingen . 338
Köniz . 1
LUINO (I) . 1
La Tour-de-Peilz . 2
Laax . 2
Lancy . 1
Langrickenbach . 2
Lanzenneunforn . 885 Laufen-Uhwiesen . 3
Lauperswil . 23
Lausanne . 8
Lauterbrunnen . 4
Lenggenwil . 2
Lengwil . 36
Lengwil-Oberhofen . 1
Lenk . 4
Lenwil . 1
Lenzburg . 15
Lichtensteig . 6
Liedertswil . 2
Liestal . 1
Lindau . 2
Lipperswil . 6
Lippoldswilen . 1 Littau . 2
Locarno . 9
Lohn (SH) . 2
Lommis . 11
Lufingen . 2
Lugano . 9
Lugano-Savosa . 2
Lungern . 8
Lupfig . 2
Lustdorf . 1
Luzein . 1
Luzern . 57
Luzisteig GR . 1
Luzisteig bei Maienfeld . 2
MEERSBURG (D) . 4
MENZENSCHWAND (D) . 2 Maienfeld . 3
Malans . 6
Malters . 2
Mammern . 34
Mannenbach . 14
Marthalen . 2
Martigny . 8
Matzingen . 66
Matzingen TG . 1
Maur . 2
Maur-Maur . 2
Mauren . 3
Meilen . 19
Meiringen . 5
Meisterschwanden . 1
Melide . 3 Mels . 2
Merishausen . 6
Mettendorf . 2
Mettlen . 1
Miglieglia . 3
Montbovon . 7
Moosleerau . 2
Morschach . 3
Mosnang . 4
Muralto . 4
Murg . 2
MÜNCHEN . 6
MÜNCHEN (D) . 10
Märstetten . 53
Märwil . 4
Mühlrüti . 7 Müllheim . 227
Müllheim-Wigoltingen . 31
Münchwilen . 7
Münchwilen (SG) . 1
Münchwilen (TG) . 35
Neftenbach . 7
Nesslau . 2
Neuchâtel . 1
Neuhausen am Rheinfall . 1
Neukirch an der Thur . 1
Neukirch-Egnach . 1
Neunforn . 2
Neuwilen . 5
Niederbuchsiten . 5
Niederbüren . 4
Niederglatt . 3 Niederneunforn . 1087
Niederwil . 1
Niederwil (TG) . 5
Nottwil . 1
Nussbaumen . 77
Nänikon . 1
Nürensdorf . 1
Oberaach . 2
Oberbertschikon . 4
Oberburg . 7
Oberdorf (SO) . 1
Oberentfelden . 6
Oberglatt . 5
Oberhofen . 4
Oberhofen bei Kreuzlingen . 5
Oberhörstetten . 2 Oberiberg . 1
Oberneunforn . 2273
Oberohringen . 1
Oberriet (SG) . 2
Oberstammheim . 104
Oberthal . 2
Oberurnen . 1
Oberwil (TG) . 1
Oberwinterthur . 2
Oberägeri . 1
Oensingen . 1
Oerlikon . 2
Oerlingen . 2
Oetwil an der Limmat . 2
Olten . 1
Opfikon . 1 Oppikon . 2
Orselina . 2
Orsières . 8
Ossingen . 321
Osterfingen . 4
Ottoberg . 1
PETTENSASCO (I) . 1
Pfungen . 2
Pfyn . 424
Pfäfers . 1
Pfäffikon . 3
Pfäffikon (ZH) . 1
Ponte Tresa . 7
Pregassona . 1
RANDEGG (D) . 1
RHEINHEIM (D) . 1 RICKENBACH (D) . 2
Rafz . 4
Ramsen . 4
Raperswilen . 6
Rapperswil . 1
Rapperswil (SG) . 4
Realp . 1
Regensdorf . 59
Reinach (AG) . 1
Rheinau . 1
Rheinfall . 1
Rheinfall SH . 1
Rheinfelden . 11
Ricken . 3
Rickenbach . 6
Rickenbach (ZH) . 11 Rickenbach bei Wil . 9
Rickenbach-Attikon . 12
Riehen . 1
Rivera . 2
Romanshorn . 11
Rorbas . 1
Rorschach . 6
Rorschacherberg . 2
Rothenhausen . 1
Rudolfingen . 2
Rutschwil-Dägerlen . 1
Räterschen . 6
Rüfenach . 1
Rümlang . 5
Rüschlikon . 13
Rüti (ZH) . 2 SCHLUCHTSEE (D) . 1
SINGEN (D) . 19
SLOWENIEN . 1
STUTTGART . 1
Saanen . 4
Salen-Reutenen . 1
Salenstein . 37
Samedan . 1
Sargans . 1
Savognin . 10
Schaffhausen . 91
Schaffhausen/Neuhausen . 1
Schattenhalb . 4
Scherzingen . 3
Schinznach Dorf . 2
Schlatt . 3 Schlatt TG . 1
Schlattingen . 6
Schleitheim . 5
Schlieren . 2
Schmerikon . 1
Schneisingen . 3
Schottikon . 4
Schwaderloh . 3
Schwende . 2
Schwyz . 3
Schwägalp . 3
Schönenberg (ZH) . 3
Schönenberg an der Thur . 2
Sedrun . 1
Seegräben . 1
Sempach . 6 Seuzach . 56
Siegershausen . 35
Sihlbrugg . 1
Sirnach . 3
Sitterdorf . 3
Solothurn . 4
Sommeri . 1
Sonterswil . 6
Sool . 2
Speicher . 2
Spiez . 1
Spreitenbach . 5
St. Gallen . 1
St. Luzisteig . 1
St. Peterszell . 8
St.Gallen . 112 St.Margrethen . 3
St.Peterzell . 2
Stammheim . 21
Steckborn . 360
Steg . 2
Stein am Rhein . 44
Stetten (SH) . 2
Stetten SH . 1
Stettfurt . 71
Stettlen . 37
Suhr . 2
Sulgen . 26
Sulz . 3
Sursee . 6
TENGEN (D) . 1
Tecknau . 1 Teufen (AR) . 2
Thal . 1
Thalgraben . 1
Thalheim . 2
Thalheim an der Thur . 20
Thalwil . 1
Thayngen . 3
Therwil . 1
Thun . 7
Thundorf . 9
Tobel . 1
Tramelan . 3
Triboltingen . 3
Trogen . 2
Trub . 1
Truttikon . 18 Trüllikon . 1
Tuggen . 1
Turbenthal . 3
Turgi . 1
Tuttwil . 2
Tägerwilen . 121
Täsch . 1
Uerikon . 3
Uerschhausen . 18
Uesslingen . 62
Uesslingen-Buch . 192
Uetikon am See . 1
Unterhörstetten . 3
Unterstammheim . 59
Urnäsch . 107
Uster . 12 Uzwil . 3
Verbier . 88
Versam . 2
Vevey . 1
Villars VD . 6
Villnachern . 1
Volken . 1
Volketswil . 6
WALDSHUT (D) . 4
WIEN (A) . 1
Wagenhausen . 81
Wagerswil . 2
Wald (ZH) . 1
Waldenburg . 1
Waldkirch . 3
Walkringen . 2 Wallenwil . 3
Wallisellen . 47
Waltalingen . 18
Wartau . 2
Warth . 736
Warth-Weiningen . 5
Warth-weiningen . 1
Wasserauen . 1
Wath . 1
Wattenwil . 1
Wattwil . 26
Weggis . 1
Weiach . 4
Weinfelden . 299
Weingarten . 6
Weinigen . 1 Weiningen . 1
Weiningen (TG) . 509
Weiningen (ZH) . 5
Weissbad . 6
Weissbad AI . 1
Welsikon . 2
Wengen . 2
Wettingen . 6
Wetzikon . 35
Wetzikon (TG) . 1
Wetzikon (ZH) . 41
Widen . 1
Widen AG . 1
Wiesendangen . 21
Wigoltingen . 61
Wil (SG) . 43 Wildberg . 1
Wilderswil . 2
Wildhaus . 5
Wilen . 1
Wilen bei Neunforn . 5
Wilen bei Wil . 2
Willisau Land . 2
Willisdorf . 3
Wimmis . 4
Winterthur . 1038
Winterthur Grütze . 1
Wisen (SO) . 3
Wolhusen . 1
Wollerau . 2
Wuppenau . 2
Wädenswil . 3 Wäldi . 11
Wängi . 49
Wülflingen . 1
Würenlingen . 1
Würenlos . 2
Yverdon . 1
Zell (ZH) . 4
Zermatt . 11
Zihlschlacht . 66
Zollikon . 10
Zug . 50
Zurzach . 25
Zuzwil (BE) . 1
Zäziwil . 1
Zürich . 630
Zürich 58 Flughafen . 17 Zürich Flughafen . 2 baldham (D) . 2 birchwil . 1 brülisau . 1 brünig . 1 cartine di gandria . 1 dinhard . 1 effretikon . 1 genf . 1 guntalingen . 5 haslen AL . 1 hinterhorben . 12 häuslenen . 1 jakobsbad . 4 kronberg . 2 mannenbach . 1 monte lema . 1 oberneunforn . 2 oehningen . 1 ponte cremanaga . 13 ponte cremenaga . 2 raperswilen . 1 rickenbach . 1 rigi-kaltbad . 2 rigi-kulm . 2 räterschen . 4 schwaderloh . 1 stammheim . 1 thalgraben . 1 unterwasser . 1 warth . 1 warth-weiningen . 3 wasserauen . 3
wattwil . 1
wengen . 6
winterthur-seen . 1
Summary Statistics:
Variable Format: character Variable: Origin accuracy
Location: Value Label Frequency Width: 6 - . 1
? . 319
A1 . 20476
A1-ptv . 154
A2 . 4218
A3 . 747
AS . 5180
B . 571
C1 . 652
C2 . 185
CS . 543
M1 . 1308
M1-ptv . 23
M2 . 783 M3 . 51
M3-ptv . 8
O . 1530
O-ptv . 12
Summary Statistics:
Variable Format: character Variable: Origin x-coordinate
Location: Range of Valid Data Values: 499077 to 1263257
Width: 11 Summary Statistics:
Variable Format: numeric Variable: X coordinate of home
Location: Range of Valid Data Values: 682819 to 719711
Width: 11 Summary Statistics:
Variable Format: numeric Variable: Origin y-coordinate
Location: Range of Valid Data Values: 75630 to 564757
Width: 11 Summary Statistics:
Variable Format: numeric Variable: Y coordinate of home
Location: Range of Valid Data Values: 264308 to 281526
Width: 11 Summary Statistics:
Variable Format: numeric Variable: Destination address id
Location: Range of Valid Data Values: 1 to 36812
Width: 11 Summary Statistics:
Minimum : 1
Maximum : 36812
Mean : 14078.685
Standard deviation : 10649.75
Variable Format: numeric Variable: Destination address
Location: Summary Statistics:
Width: 39 Variable Format: character Variable: Destination postal code
Location: Range of Valid Data Values: 1000 to 79862
Width: 11 Summary Statistics:
Minimum : 1000
Maximum : 79862
Mean : 8520.31
Standard deviation : 3432.393
Variable Format: numeric Variable: Destination Municipality
Location: Value Label Frequency Width: 30 A- Feldkirch . 3
Aadorf . 60
Aarau . 6
Aawangen . 11
Abtwil . 1
Adlikon . 3
Affeltrangen . 5
Affoltern am Albis . 5
Agno . 6
Albeuve . 33
Albis ZH . 1
Alt St.Johann . 1
Altdorf (SH) . 2
Altdorf (UR) . 2 Alten . 5
Altendorf . 1
Alterswilen . 6
Altheim bei Frickingen (D) . 1
Altikon . 15
Altnau . 6
Amden . 1
Amlikon . 2
Ammenhausen . 1
Amriswil . 19
Andelfingen . 27
Andiast . 1
Andwil (SG) . 1
Anetswil . 1
Appenzell . 20
Arbon . 44 Arlesheim . 1
Arnegg . 2
Ascona . 4
Attikon . 2
Au (SG) . 2
Avry-sur-Matran . 1
BREGENZ (A) . 1
BREGENZ (Ö) . 8
Baar . 7
Bachs . 5
Bad Mergentheim . 1
Bad Pfäfers (GR) . 1
Bad Ragaz . 2
Baden . 36
Balsthal . 4
Balterswil . 63 Bargen (SH) . 2
Barzheim . 2
Basadingen . 33
Basel . 23
Bassersdorf . 18
Bauma . 3
Bazenheid . 3
Beatenberg . 1
Beggingen . 1
Beinwil (SO) . 3
Beinwil am See . 1
Bellinzona . 1
Belmont-sur-Lausanne . 4
Benken (SG) . 1
Benken (ZH) . 1
Berg . 1 Berg (SG) . 2
Berg (TG) . 2
Berg am Irchel . 2
Berikon . 1
Beringen . 1
Berlens . 32
Berlingen . 1347
Bern . 94
Berneck . 2
Bertschikon . 5
Bethelhausen . 1
Bettwiesen . 14
Bezau Österreich . 1
Biasca . 2
Biberist . 5
Bibern (SH) . 3 Biberstein . 1
Biel (BE) . 3
Binningen BL . 1
Birmensdorf (ZH) . 1
Bischofszell . 29
Bissegg . 16
Bonau . 4
Bottighofen . 13
Boudevilliers . 1
Boudry . 1
Braunau . 2
Brenzikofen . 1
Brienz (BE) . 7
Brig . 6
Brissago . 2
Bronschhofen . 1 Brugg . 17
Brunnadern . 2
Brünig . 2
Brüttisellen . 1
Bubendorf . 1
Bubikon . 3
Buch . 2
Buch (SH) . 1
Buch am Irchel . 20
Buch bei Frauenfeld . 395
Buchs . 4
Buchs (AG) . 1
Burgdorf . 2
Bussnang . 3
Busswil (TG) . 13
Bächli . 2 Bönigen . 7
Bülach . 29
Bürglen . 3
Bürglen (TG) . 9
Bürglen (UR) . 1
Büsingen (D) . 2
Caslano . 1
Celerina/Schlarigna . 4
Champex . 4
Chiasso . 2
Chur . 15
Châtonnaye . 35
Contone . 2
D - SINGEN . 2
D- BAD HOMBUR . 2
D- Gailingen . 2 D- HALLAU . 1
D- MEERSBURG . 2
D- ROTTWEIL . 1
D- Rielasingen . 1
D- SINGEN . 1
D-BONNDORF . 3
D-GAILINGEN . 29
D-Gailingen . 1
D-HOLZSCHLAG . 3
D-LOTTENBACH . 1
D-RIELASINGEN . 1
D-Rust . 1
Dachsen . 3
Davos . 2
Davos Platz . 2
Derendingen . 2 Dettighofen . 542
Dettighofen bei Lanzenneunforn . 103
Dicken . 2
Diemtigen . 1
Diepoldsau . 3
Diesbach (GL) . 1
Diessenhofen . 129
Dietikon . 4
Dietingen . 1
Dietlikon . 24
Dinhard . 11
Dorf . 1
Dozwil . 2
Dussnang . 5
Dägerlen . 1
Dörflingen . 3 Dübendorf . 35
Dürnten . 6
EVIAN (F) . 4
Ebenalp (Wasserauen) . 1
Ebnat-Kappel . 9
Effretikon . 7
Eglisau . 1
Egnach . 4
Einsiedeln . 15
Elgg . 14
Ellikon an der Thur . 25
Elsau . 26
Embrach . 20
Emmen . 9
Emmetbühl . 1
Engelberg . 2 Engwang . 11
Engwilen . 7
Entlebuch . 2
Erlach . 3
Ermatingen . 91
Ermenswil . 4
Eschenz . 36
Eschikofen . 2
Eschlikofen . 1
Eschlikon . 12
Estavayer-le-Lac . 2
Etagnières . 6
Ettenhausen . 3
Etzwilen . 2
FRIEDRICHSHAFEN (D) . 3
Falera . 2 Felben . 3
Felben-Wellhausen . 149
Feuerthalen . 18
Filzbach . 1
Fischenthal . 3
Fischingen . 13
Flaach . 7
Flamatt . 1
Flawil . 1
Flims . 4
Flums . 6
Flurlingen . 1
Flüelen . 1
Fraubrunnen . 1
Frauenfeld . 15183
Freienbach . 1 Fribourg . 1
Friltschen . 1
Fruthwilen . 1
Frutigen . 1
Fällanden . 4
Gachnang . 102
Gais . 3
Gams . 1
Gebenstorf . 2
Genf . 1
Gerlikon . 13
Glarus . 6
Glattbrugg . 3
Glaubenbielipass . 1
Gloten . 1
Gockhausen . 4 Goldach . 2
Goldau . 2
Goldingen . 1
Gommiswald . 2
Gossau (SG) . 47
Gossau (ZH) . 10
Gottshaus . 3
Graltshausen . 1
Greifensee . 2
Grindelwald . 18
Gruyères . 4
Gränichen . 1
Gräslikon . 1
Grüningen . 1
Grüt . 5
Gundetswil . 2 Guntalingen . 10
Guntershausen bei Aadorf . 3
Gächlingen . 2
Gündelhart . 1
Gündelhart-Hörhausen . 5
Güttingen . 2
Habsburg . 2
Hagenbuch . 2
Halden . 2
Hallau . 3
Happerswil-Buch . 1
Hasliberg . 22
Hauptwil . 2
Hausen am Albis . 1
Hefenhausen . 1
Hefenhofen . 1 Heimberg BE . 1
Hemberg . 2
Hemishofen . 5
Hemmental . 3
Henggart . 3
Herbligen . 2
Herden . 1
Herdern . 1053
Hergiswil (NW) . 1
Herisau . 5
Herrliberg . 3
Hettlingen . 31
Hinterhomburg . 3
Hinwil . 4
Hirschthal . 2
Hochfelden . 1 Hohentannen . 2
Hombrechtikon . 25
Homburg . 1371
Horben . 17
Horgen . 1
Horw . 10
Hundwil . 3
Husemersee . 1
HÖHENSCHWAND (D) . 1
Härkingen . 2
Häuslenen . 6
Hörhausen . 321
Hütten . 5
Hüttlingen . 3
Hüttwilen . 1143
Ilanz . 2 Illighausen . 1
Illnau-Effretikon . 4
Ingenbohl . 1
Interlaken . 5
Iselisberg . 10
Islikon . 162
Ittigen . 3
Jakobsbad . 5
Jona . 1
Jonschwil . 8
KONSTANZ (D) . 170
Kaiserstuhl . 5
Kalchrain . 1
Kaltenbach . 7
Kefikon . 2
Kemptthal . 3 Kerzers . 3
Kirchberg (SG) . 3
Kleinandelfingen . 102
Kleine Scheidegg . 2
Kleinteil . 1
Kloten . 36
Koblenz . 4
Kradolf . 5
Kreuzlingen . 338
Köniz . 1
LUINO (I) . 1
La Tour-de-Peilz . 2
Laax . 2
Lancy . 1
Langrickenbach . 2
Lanzenneunforn . 883 Laufen-Uhwiesen . 3
Lauperswil . 23
Lausanne . 8
Lauterbrunnen . 4
Lenggenwil . 2
Lengwil . 36
Lengwil-Oberhofen . 1
Lenk . 4
Lenwil . 1
Lenzburg . 15
Lichtensteig . 6
Liedertswil . 2
Liestal . 1
Lindau . 2
Lipperswil . 6
Lippoldswilen . 1 Littau . 2
Locarno . 9
Lohn (SH) . 2
Lommis . 11
Lufingen . 2
Lugano . 9
Lugano-Savosa . 2
Lungern . 8
Lupfig . 2
Lustdorf . 1
Luzein . 1
Luzern . 57
Luzisteig GR . 1
Luzisteig bei Maienfeld . 2
MEERSBURG (D) . 4
MENZENSCHWAND (D) . 2 Maienfeld . 3
Malans . 6
Malters . 2
Mammern . 34
Mannenbach . 14
Marthalen . 2
Martigny . 8
Matzingen . 66
Matzingen TG . 1
Maur . 2
Maur-Maur . 2
Mauren . 3
Meilen . 19
Meiringen . 5
Meisterschwanden . 1
Melide . 3 Mels . 2
Merishausen . 6
Mettendorf . 2
Mettlen . 1
Miglieglia . 3
Montbovon . 7
Moosleerau . 2
Morschach . 3
Mosnang . 4
Muralto . 4
Murg . 2
MÜNCHEN . 6
MÜNCHEN (D) . 10
Märstetten . 53
Märwil . 4
Mühlrüti . 7 Müllheim . 227
Müllheim-Wigoltingen . 31
Münchwilen . 7
Münchwilen (SG) . 1
Münchwilen (TG) . 35
Neftenbach . 7
Nesslau . 2
Neuchâtel . 1
Neuhausen am Rheinfall . 1
Neukirch an der Thur . 1
Neukirch-Egnach . 1
Neunforn . 2
Neuwilen . 5
Niederbuchsiten . 5
Niederbüren . 4
Niederglatt . 3 Niederneunforn . 1082
Niederwil . 1
Niederwil (TG) . 5
Nottwil . 1
Nussbaumen . 77
Nänikon . 1
Nürensdorf . 1
Oberaach . 2
Oberbertschikon . 4
Oberburg . 7
Oberdorf (SO) . 1
Oberentfelden . 6
Oberglatt . 5
Oberhofen . 4
Oberhofen bei Kreuzlingen . 5
Oberhörstetten . 2 Oberiberg . 1
Oberneunforn . 2273
Oberohringen . 1
Oberriet (SG) . 2
Oberstammheim . 104
Oberthal . 2
Oberurnen . 1
Oberwil (TG) . 1
Oberwinterthur . 2
Oberägeri . 1
Oensingen . 1
Oerlikon . 2
Oerlingen . 2
Oetwil an der Limmat . 2
Olten . 1
Opfikon . 1 Oppikon . 2
Orselina . 2
Orsières . 8
Ossingen . 321
Osterfingen . 4
Ottoberg . 1
PETTENSASCO (I) . 1
Pfungen . 2
Pfyn . 424
Pfäfers . 1
Pfäffikon . 3
Pfäffikon (ZH) . 1
Ponte Tresa . 7
Pregassona . 1
RANDEGG (D) . 1
RHEINHEIM (D) . 1 RICKENBACH (D) . 2
Rafz . 4
Ramsen . 4
Raperswilen . 6
Rapperswil . 1
Rapperswil (SG) . 4
Realp . 1
Regensdorf . 59
Reinach (AG) . 1
Rheinau . 1
Rheinfall . 1
Rheinfall SH . 1
Rheinfelden . 11
Ricken . 3
Rickenbach . 6
Rickenbach (ZH) . 11 Rickenbach bei Wil . 9
Rickenbach-Attikon . 12
Riehen . 1
Rivera . 2
Romanshorn . 11
Rorbas . 1
Rorschach . 6
Rorschacherberg . 2
Rothenhausen . 1
Rudolfingen . 2
Rutschwil-Dägerlen . 1
Räterschen . 6
Rüfenach . 1
Rümlang . 5
Rüschlikon . 12
Rüti (ZH) . 2 SCHLUCHTSEE (D) . 1
SINGEN (D) . 19
SLOWENIEN . 1
STUTTGART . 1
Saanen . 4
Salen-Reutenen . 1
Salenstein . 37
Samedan . 1
Sargans . 1
Savognin . 10
Schaffhausen . 91
Schaffhausen/Neuhausen . 1
Schattenhalb . 4
Scherzingen . 3
Schinznach Dorf . 2
Schlatt . 3 Schlatt TG . 1
Schlattingen . 6
Schleitheim . 5
Schlieren . 2
Schmerikon . 1
Schneisingen . 3
Schottikon . 4
Schwaderloh . 3
Schwende . 2
Schwyz . 3
Schwägalp . 3
Schönenberg (ZH) . 3
Schönenberg an der Thur . 2
Sedrun . 1
Seegräben . 1
Sempach . 6 Seuzach . 56
Siegershausen . 35
Sihlbrugg . 1
Sirnach . 3
Sitterdorf . 3
Solothurn . 4
Sommeri . 1
Sonterswil . 6
Sool . 2
Speicher . 2
Spiez . 1
Spreitenbach . 5
St. Gallen . 1
St. Luzisteig . 1
St. Peterszell . 8
St.Gallen . 112 St.Margrethen . 3
St.Peterzell . 2
Stammheim . 21
Steckborn . 360
Steg . 2
Stein am Rhein . 44
Stetten (SH) . 2
Stetten SH . 1
Stettfurt . 71
Stettlen . 37
Suhr . 2
Sulgen . 26
Sulz . 3
Sursee . 6
TENGEN (D) . 1
Tecknau . 1 Teufen (AR) . 2
Thal . 1
Thalgraben . 1
Thalheim . 2
Thalheim an der Thur . 20
Thalwil . 1
Thayngen . 3
Therwil . 1
Thun . 7
Thundorf . 9
Tobel . 1
Tramelan . 3
Triboltingen . 3
Trogen . 2
Trub . 1
Truttikon . 18 Trüllikon . 1
Tuggen . 1
Turbenthal . 3
Turgi . 1
Tuttwil . 2
Tägerwilen . 121
Täsch . 1
Uerikon . 3
Uerschhausen . 18
Uesslingen . 61
Uesslingen-Buch . 193
Uetikon am See . 1
Unterhörstetten . 3
Unterstammheim . 59
Urnäsch . 107
Uster . 12 Uzwil . 3
Verbier . 88
Versam . 2
Vevey . 1
Villars VD . 6
Villnachern . 1
Volken . 1
Volketswil . 6
WALDSHUT (D) . 4
WIEN (A) . 1
Wagenhausen . 81
Wagerswil . 2
Wald (ZH) . 1
Waldenburg . 1
Waldkirch . 3
Walkringen . 2 Wallenwil . 3
Wallisellen . 47
Waltalingen . 18
Wartau . 2
Warth . 737
Warth-Weiningen . 5
Warth-weiningen . 1
Wasserauen . 1
Wath . 1
Wattenwil . 1
Wattwil . 27
Weggis . 1
Weiach . 4
Weinfelden . 300
Weingarten . 6
Weinigen . 1 Weiningen . 1
Weiningen (TG) . 508
Weiningen (ZH) . 5
Weissbad . 6
Weissbad AI . 1
Welsikon . 2
Wengen . 2
Wettingen . 6
Wetzikon . 35
Wetzikon (TG) . 1
Wetzikon (ZH) . 42
Widen . 1
Widen AG . 1
Wiesendangen . 21
Wigoltingen . 61
Wil (SG) . 43 Wildberg . 1
Wilderswil . 2
Wildhaus . 5
Wilen . 1
Wilen bei Neunforn . 5
Wilen bei Wil . 2
Willisau Land . 2
Willisdorf . 3
Wimmis . 4
Winterthur . 1041
Winterthur Grütze . 1
Wisen (SO) . 3
Wolhusen . 1
Wollerau . 2
Wuppenau . 2
Wädenswil . 3 Wäldi . 11
Wängi . 49
Wülflingen . 1
Würenlingen . 1
Würenlos . 2
Yverdon . 1
Zell (ZH) . 4
Zermatt . 11
Zihlschlacht . 66
Zollikon . 10
Zug . 50
Zurzach . 25
Zuzwil (BE) . 1
Zäziwil . 1
Zürich . 632
Zürich 58 Flughafen . 17 Zürich Flughafen . 2 baldham (D) . 2 birchwil . 1 brülisau . 1 brünig . 1 cartine di gandria . 1 dinhard . 1 effretikon . 1 genf . 1 guntalingen . 5 haslen AL . 1 hinterhorben . 12 häuslenen . 1 jakobsbad . 4 kronberg . 2 mannenbach . 1 monte lema . 1 oberneunforn . 2 oehningen . 1 ponte cremanaga . 13 ponte cremenaga . 2 raperswilen . 1 rickenbach . 1 rigi-kaltbad . 2 rigi-kulm . 2 räterschen . 4 schwaderloh . 1 stammheim . 1 thalgraben . 1 unterwasser . 1 warth . 1 warth-weiningen . 3 wasserauen . 3
wattwil . 1
wengen . 6
winterthur-seen . 1
Summary Statistics:
Variable Format: character Variable: Destination accuracy
Location: Value Label Frequency Width: 6 - . 1
? . 317
A1 . 20474
A1-ptv . 154
A2 . 4215
A3 . 747
AS . 5182
B . 573
C1 . 650
C2 . 185
CS . 544
M1 . 1308
M1-ptv . 23
M2 . 784 M3 . 51
M3-ptv . 8
O . 1533
O-ptv . 12
Summary Statistics:
Variable Format: character Variable: Destination x-coordinate
Location: Range of Valid Data Values: 499077 to 1263257
Width: 11 Summary Statistics:
Minimum : 499077
Maximum : 1263257
Mean : 707114.898
Standard deviation : 19224.872
Variable Format: numeric Variable: Destination y-coordinate
Location: Range of Valid Data Values: 75630 to 564757
Width: 11 Summary Statistics:
Minimum : 75630
Maximum : 564757
Mean : 267760.069
Standard deviation : 18322.006
Variable Format: numeric Variable: Trip destination
Location: Value Label Frequency Width: 8 0 . Not at home 21901
1 . At home 14860
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Mean : 0.404
Standard deviation : 0.491
Variable Format: numeric Variable: Frequency of visit
Location: Value Label Frequency Width: 11 1 . Never before 1532
2 . 1-3 times 2411
3 . More often 32818
Range of Valid Data Values: 1 to 3
Summary Statistics:
Variable Format: numeric Variable: Household members travelling along
Location: Value Label Frequency Width: 11 0 . 28209
1 . 6759
2 . 983
3 . 461
4 . 241
5 . 108
Range of Valid Data Values: 0 to 5
Summary Statistics:
Minimum : 0
Maximum : 5
Mean : 0.316
Standard deviation : 0.694
Variable Format: numeric Variable: Other persons travelling along
Location: Value Label Frequency Width: 11 0 . 29707
1 . 3998
2 . 1556
3 . 579
4 . 286
5 . 193
6 . 179
7 . 54
8 . 54
9 . 22
10 . 64
11 . 28
12 . 25
13 . 3 14 . 8
15 . 5
Range of Valid Data Values: 0 to 15
Summary Statistics:
Minimum : 0
Maximum : 15
Mean : 0.395
Standard deviation : 1.167
Variable Format: numeric Variable: Household member participating
Location: Value Label Frequency Width: 11 0 . 30956
1 . 4499
2 . 655
3 . 397
4 . 156
5 . 96
6 . 2
Range of Valid Data Values: 0 to 6
Summary Statistics:
Minimum : 0
Maximum : 6
Mean : 0.221
Standard deviation : 0.614
Variable Format: numeric Variable: Other member participating
Location: Value Label Frequency Width: 11 0 . 30190
1 . 2861
2 . 1358
3 . 689
4 . 421
5 . 304
6 . 212
7 . 127
8 . 164
9 . 65
10 . 198
11 . 37
12 . 63
13 . 9 14 . 24
15 . 8
16 . 11
17 . 5
18 . 11
19 . 3
21 . 1
Range of Valid Data Values: 0 to 21
Summary Statistics:
Minimum : 0
Maximum : 21
Mean : 0.521
Standard deviation : 1.643
Variable Format: numeric Variable: HH member traveling along (coded)
Location: Value Label Frequency Width: 8 0 . None 28209
1 . One 6759
2 . Two 983
3 . Three 461
4 . Four 241
5 . Five and more 108
Range of Valid Data Values: 0 to 5
Summary Statistics:
Minimum : 0
Maximum : 5
Mean : 0.316
Standard deviation : 0.694
Variable Format: numeric Variable: Other persons travelling along (coded)
Location: Value Label Frequency Width: 8 0 . None 29707
1 . One 3998
2 . Two 1556
3 . Three 579
4 . Four 286
5 . Five and more 635
Range of Valid Data Values: 0 to 5
Summary Statistics:
Minimum : 0
Maximum : 5
Mean : 0.358
Standard deviation : 0.921
Variable Format: numeric Variable: HH member participating (coded)
Location: Value Label Frequency Width: 8 0 . None 30956
1 . One 4499
2 . Two 655
3 . Three 397
4 . Four 156
5 . Five and more 98
Range of Valid Data Values: 0 to 5
Summary Statistics:
Minimum : 0
Maximum : 5
Mean : 0.221
Standard deviation : 0.614
Variable Format: numeric Variable: Other member participating (coded)
Location: Value Label Frequency Width: 8 0 . None 30190
1 . One 2861
2 . Two 1358
3 . Three 689
4 . Four 421
5 . Five and more 1242
Range of Valid Data Values: 0 to 5
Summary Statistics:
Minimum : 0
Maximum : 5
Mean : 0.423
Standard deviation : 1.115
Variable Format: numeric Variable: Group travelling along
Location: Value Label Frequency Width: 8 0 . 22488
1 . 8997
2 . 2534
3 . 1349
4 . 532
5 . 334
6 . 224
7 . 63
8 . 52
9 . 45
10 . 62
11 . 36
12 . 11
13 . 21 14 . 8
15 . 5
Range of Valid Data Values: 0 to 15
Summary Statistics:
Minimum : 0
Maximum : 15
Mean : 0.711
Standard deviation : 1.341
Variable Format: numeric Variable: Group travelling along (coded)
Location: Value Label Frequency Width: 8 0 . None 22488
1 . One 8997
2 . Two 2534
3 . Three 1349
4 . Four 532
5 . Five and more 861
Range of Valid Data Values: 0 to 5
Summary Statistics:
Minimum : 0
Maximum : 5
Mean : 0.668
Standard deviation : 1.105
Variable Format: numeric Variable: Group participating
Location: Value Label Frequency Width: 8 0 . 25802
1 . 5817
2 . 1795
3 . 1279
4 . 554
5 . 405
6 . 264
7 . 155
8 . 180
9 . 118
10 . 175
11 . 58
12 . 57
13 . 34 14 . 21
15 . 8
16 . 6
17 . 13
18 . 10
19 . 7
20 . 2
21 . 1
Range of Valid Data Values: 0 to 21
Summary Statistics:
Minimum : 0
Maximum : 21
Mean : 0.742
Standard deviation : 1.793
Variable Format: numeric Variable: Group participating (coded)
Location: Value Label Frequency Width: 8 0 . None 25802
1 . One 5817
2 . Two 1795
3 . Three 1279
4 . Four 554
5 . Five and more 1514
Range of Valid Data Values: 0 to 5
Summary Statistics:
Minimum : 0
Maximum : 5
Mean : 0.626
Standard deviation : 1.243
Variable Format: numeric Variable: Dog travelling alongside, dog_o missings considered as "no"
Location: Value Label Frequency Width: 8 0 . No 35416
1 . Yes 1345
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Dog travelling along, original
Location: Value Label Frequency Width: 11 0 . No 7851
1 . Yes 1345
Sysmiss . 27565
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: When planned
Location: Value Label Frequency Width: 11 1 . One of more days in advance 6841
2 . During the day 3597
3 . Just now 4076
4 . Routine/Return home 22247
Range of Valid Data Values: 1 to 4
Summary Statistics:
Variable Format: numeric Variable: Reported distance [km]
Location: Range of Valid Data Values: 0 to 820
Width: 11 Summary Statistics:
Minimum : 0
Maximum : 820
Mean : 10.84
Standard deviation : 24.13
Variable Format: numeric Variable: Crow fly distance [km]
Location: Range of Valid Data Values: 0.00921954445729289 to 564.356456011624 Width: 13 Summary Statistics:
Minimum : 0.00922
Maximum : 564.356
Mean : 8.347
Standard deviation : 18.126
Variable Format: numeric Variable: Trip abroad
Location: Value Label Frequency Width: 11 0 . No 36254
1 . Yes 507
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Round trip
Location: Value Label Frequency Width: 11 0 . No 35157
1 . Yes 1604
Range of Valid Data Values: 0 to 1
Summary Statistics:
Variable Format: numeric Variable: Main mode grouped
Location: Value Label Frequency Width: 8 1 . Public transport 3177
2 . Car driver and passenger 20789
3 . Slow modes 12376
Sysmiss . 419
Range of Valid Data Values: 1 to 3
Summary Statistics:
Minimum : 1
Maximum : 3
Variable Format: numeric Variable: Time of departure (decimal system/ minute of the day)
Location: Range of Valid Data Values: 0 to 1439
Width: 8 Summary Statistics:
Minimum : 0
Maximum : 1439
Mean : 827.741
Standard deviation : 277.521
Variable Format: numeric Variable: Time of arrival (decimal system/ minute of the day)
Location: Range of Valid Data Values: 1 to 1440
Width: 8 Summary Statistics:
Minimum : 1
Maximum : 1440
Mean : 844.402
Standard deviation : 278.365
Variable Format: numeric Variable: Arrival on the next day
Location: Value Label Frequency Width: 11 0 . No 36647
1 . Yes 114
Range of Valid Data Values: 0 to 1
Summary Statistics:
Minimum : 0
Maximum : 1
Variable Format: numeric Variable: Shortest time path time
Location: Range of Valid Data Values: 0.02 to 306.68
Width: 11 Summary Statistics:
Minimum : 0.02
Maximum : 306.68
Mean : 8.646
Standard deviation : 14.922
Variable Format: numeric Variable: Shortest time path distance
Location: Range of Valid Data Values: 0.01 to 415.07
Width: 11 Summary Statistics:
Minimum : 0.01
Maximum : 415.07
Mean : 11.121
Standard deviation : 23.041
Variable Format: numeric Variable: Shortest distance path time
Location: Range of Valid Data Values: 0.02 to 347.4
Width: 11 Summary Statistics:
Minimum : 0.02
Maximum : 347.4
Mean : 9.971
Standard deviation : 18.181
Variable Format: numeric Variable: Shortest distance path distance
Location: Range of Valid Data Values: 0.01 to 403.07
Width: 11 Summary Statistics:
Minimum : 0.01
Maximum : 403.07
Mean : 10.412
Standard deviation : 21.346
Variable Format: numeric Variable: Shortest distance path distance (coded)
Location: Value Label Frequency Width: 2 1 . Up to 5km 20506
2 . 5 to 10 km 4689
3 . 10 to 25 km 5400
4 . 25 to 50 km 2603
5 . 50 to 75 km 676
6 . 75 to 100 km 184
7 . 100 km and more 329
Sysmiss . 2374
Range of Valid Data Values: 1 to 7
Summary Statistics:
Minimum : 1
Maximum : 7
Variable Format: numeric Variable: Shortest distance path distance (coded finer)
Location: Value Label Frequency Width: 2 0 . up to 2.5 km 15763
1 . 2.5 to 5km 4743
2 . 5 to 10 km 4689
3 . 10 to 25 km 5400
4 . 25 to 50 km 2603
5 . 50 to 75 km 676
6 . 75 to 100 km 184
7 . 100 km and more 329
Sysmiss . 2374
Range of Valid Data Values: 0 to 7
Summary Statistics:
Minimum : 0
Maximum : 7
Variable Format: numeric Variable: Crow fly distance (coded)
Location: Value Label Frequency Width: 2 1 . Up to 5km 22659
2 . 5 to 10 km 3694
3 . 10 to 25 km 4990
4 . 25 to 50 km 2335
5 . 50 to 75 km 338
6 . 75 to 100 km 114
7 . 100 km and more 257
Sysmiss . 2374
Range of Valid Data Values: 1 to 7
Summary Statistics:
Minimum : 1
Maximum : 7
Variable Format: numeric Variable: crow fly distance (coded finer)
Location: Value Label Frequency Width: 2 0 . up to 2.5 km 17025
1 . 2.5 to 5km 5634
2 . 5 to 10 km 3694
3 . 10 to 25 km 4990
4 . 25 to 50 km 2335
5 . 50 to 75 km 338
6 . 75 to 100 km 114
7 . 100 km and more 257
Sysmiss . 2374
Range of Valid Data Values: 0 to 7
Summary Statistics:
Minimum : 0
Maximum : 7
Variable Format: numeric Variable: Detour factor reported to crow-fly distance
Location: Range of Valid Data Values: 0.000431358095390395 to 807.280413152587 Width: 8 Summary Statistics:
Minimum : 0.000431
Maximum : 807.28
Mean : 1.887
Standard deviation : 8.23
Variable Format: numeric Variable: Detour factor reported to SDPD
Location: Range of Valid Data Values: 0.000332198322398472 to 3000
Width: 8 Summary Statistics:
Minimum : 0.000332
Maximum : 3000
Mean : 1.599
Standard deviation : 23.53
Variable Format: numeric Variable: Detour factor sd to crow fly distance
Location: Range of Valid Data Values: 0.0891810200761778 to 26.0800684752051 Width: 8 Summary Statistics:
Minimum : 0.0892
Maximum : 26.08
Mean : 1.398
Standard deviation : 0.795
Variable Format: numeric Variable: Detour factor st to crow fly distance
Location: Range of Valid Data Values: 0.0891810200761778 to 26.0800684752051 Width: 8 Summary Statistics:
Minimum : 0.0892
Maximum : 26.08
Mean : 1.455
Standard deviation : 0.807
Variable Format: numeric Variable: Detour factor st to SDPD
Location: Range of Valid Data Values: 0.515151515151515 to 4.75
Width: 8 Summary Statistics:
Minimum : 0.515
Maximum : 4.75
Mean : 1.044
Standard deviation : 0.0998
Variable Format: numeric Variable: Reported speed
Location: Range of Valid Data Values: -59.94 to 1800
Width: 8 Summary Statistics:
Minimum : -59.94
Maximum : 1800
Mean : 28.493
Standard deviation : 32.032
Variable Format: numeric Variable: Reported travel time
Location: Range of Valid Data Values: -1435 to 900
Width: 8 Summary Statistics:
Variable Format: numeric Variable: Personal weighting factor to National Travel Survey 2000 (only Thurgau)
Location: Value Label Frequency Width: 9 0.088735 . 371
0.169402 . 3018
0.454494 . 7055
0.532407 . 3274
0.831075 . 5739
0.964988 . 1744
1.310081 . 14654
2.395833 . 454
5.324074 . 124
6.21142 . 240
10.115741 . 88
Range of Valid Data Values: 0.088735 to 10.115741
Summary Statistics:
Minimum : 0.0887
Maximum : 10.116
Variable Format: numeric Variable: Trip weighting factor (scaled at trip level) to National Travel Survey 2000 (only Thurgau)
Location: Value Label Frequency Width: 9 0.092482283575485 . 371
0.176555855099502 . 3018
0.473687304799194 . 7055
0.554890574762757 . 3274
0.866171339634825 . 5739
1.00573949245439 . 1744
1.36540578744413 . 14654
2.49700914977748 . 454
5.54890991654777 . 124
6.47372858338242 . 240
10.5429292583328 . 88
Range of Valid Data Values: 0.092482283575485 to 10.5429292583328
Summary Statistics:
Minimum : 0.0925
Maximum : 10.543 Variable Format: numeric Variable: Route distance aggregated (for analysis by ÖV/IV/Langsam/Sonstige)
Location: Value Label Frequency Width: 8 1 . Up to 1km 9573
2 . >1 to 10km 17413
3 . >10 to 100km 8963
4 . >100 to 1000km 390
5 . >1000km 0
Sysmiss . 422
Range of Valid Data Values: 1 to 5
Summary Statistics:
Variable Format: numeric