Crowdsourcing in bicycle traffic planning – MOVEBIS project presentation
Rostock // Friday, September 27th 2019
Dr. Klemens Muthmann former TU Dresden, now Cyface GmbH. Data requirements by road infrastructure designers
Who is driving? Where to drive? Who is driving? Where to drive? Where do routes start/end? How many drive? Where do routes start/end? How many drive? Why do we drive? Why do we drive? When toWhen drive? to drive?
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The development of road traffic data?
Number of permanent counting points in large cities of central and east Germany 8 + short time counts 7 + household surveys 6
5
4
3
2
1
0 Chemnitz Dessau-Roßlau Dresden Eisenach Erfurt Gera Gotha Halle Jena Leipzig Magdeburg Weimar Zwickau
Folie 3
How to close data gaps with GPS data?
Share of Smartphone User in Germany in the years from 2012 to 2018 Cyclists as data source
Strava
BikeCitizens
Komoot
MOVEBIS
Benefit for bicycle traffic design
No established procedures!
© Statista 2019, Source: Bitkom research
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Dresden 2018 MOVEBIS
Räumliche Ausprägung des Radverkehrs
Folie 5 Bild: P. Rosenkranz
Limits of crowdsourcing and GPS
…No Random Sample! Age Distribution of Strava-Users in Dresden
12% 85-94 Years
75-84 Years 88% 65-74 Years
55-64 Years
45-54 Years
35-44 Years
25-34 Years
under 25
0 100 200 300 400 500 600 700 800
Women Men
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Types of cyclists
Ambitious Passionate (Sports cyclist) (Enthusiastic cyclist)
Pragmatic (Day-to-Day Functionale cyclist) (Sparse cyclist)
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Representativeness Daily Traffic Track Records
14%
12%
10%
8%
6% Share Tracks of Share 4%
2%
0% Heterogeneous CITY CYCLING 0:00:00 6:00:00 12:00:00 18:00:00 0:00:00 sample Time Beginning of Track SrV 2013 Beginning of Track Stadtradeln 2018 End of Track SrV 2013 End of Track Stadtradeln 2018
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Representativeness
Trip Duration
1.200
1.000
800
600
400
abs. Frequency abs. 200
- 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 >120
Trip Duration SrV 2013 Trip Duration Stadtradeln 2018 Trip Duration in [min]
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Representativeness
Age and Gender Distribution in the City of Gießen SR 2018 40%
30% 50%
50%
20% Share
male female 10%
0% ≤9 10-18 19-24 25-34 35-44 45-54 55-64 65-74 ≥75
Stadtradeln SrV2013 Age Category [Years]
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Results
Trip Length Distribution Following Data Preparation 20% 18% - Representative trip length distribution 16% 14%
- Important: Age and 12% Genderdistribution seems to be close to population 10% 8% - Sample can be filtered accordingly 6%
4%
2%
0% 4 7 9 14 19 24 29 34 35 44 49 54 59 64 69 74 more Datenreihen1 Datenreihen2 Strava-Data
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Data Usage
Activities are Visible in Dataset Data Preparation is necessary!
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Data Usage
Activities cleaned, Waiting Times remain!
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Bild: P. Rosenkranz Dresden 2018 Dresden 2018
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Toolbox
Bildquellen: Stephan Dinter, 2019 Dinter, Stephan Bildquellen:
Folie 15 Bild: P. Rosenkranz
www.movebis.org
Presenter: [email protected] Contacts: [email protected] [email protected] [email protected] [email protected] [email protected]