Eastern Partnership regional transport study TRACECA IDEAJune II 2015 Annex I – Data Collection P a g e | 1 Transport Dialogue and THIS PROJECT IS FUNDED BY THE EU Networks Interoperability II
Eastern Partnership regional transport study
Final report Annex I – Data collection June 2015
This document is prepared by the IDEA II Project. The IDEA II Project is implemented by TRT Trasporti e Territorio in association with: Panteia Group, Dornier Consulting GmbH and Lutsk University Eastern Partnership regional transport study June 2015 Annex I – Data Collection P a g e | 2
TABLE OF CONTENT
1 ANNEX I – DATA COLLECTION ...... 3 1.1 Approach ...... 3 1.1.1. Indicators ...... 3 1.1.2. Data coverage ...... 4
2 DATA COLLECTED THROUGH NATIONAL ADMINISTRATIONS AND OFFICIAL SOURCES ...... 7 2.1 Templates ...... 8 2.1.1. Road template ...... 8 2.1.2. Rail template ...... 12 2.2 Sources ...... 16 2.2.1. Road ...... 16 2.2.2. Railways ...... 16
3 DATA COLLECTED THROUGH DIRECT ROAD SURVEYS ...... 18 3.1 Ukraine ...... 18 3.1.1. Survey on road quality ...... 18 3.2 Belarus ...... 20 3.2.1. Survey on road quality ...... 20 3.2.2. Traffic counts ...... 21 3.3 Armenia ...... 23 3.3.1. Survey on road quality ...... 23 3.3.2. Traffic counts ...... 25
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1 ANNEX I – DATA COLLECTION
1.1 APPROACH Data collection for the EaP regional transport study was based on two main approaches: The first one encompassed the active involvement of the IDEA country experts and EaP Transport Panel experts. The second one encompassed the execution by the IDEA II project team of direct survey on road conditions for Ukraine, Belarus and Moldova and road traffic counts in Belarus and Armenia. Both approaches are described in the sections below.
1.1.1. INDICATORS Data collection encompassed a first preparatory stage performed by the IDEA II project team which covered the identification of key infrastructure and traffic flows indicators to be collected for each transport mode. The list of indicators to be collected for rails and roads belonging to the EaP strategic network was developed following the indications received from DG MOVE and refined on the basis of indicators used by TEN-Tec. The final list of indicators, further refined on March 2015 according to the request of DG MOVE, is reported below. Table 1 - List of railways indicators Indicator Unit of measurement / Coding Status Existing / planned / under construction / to be upgraded Length Km Number of tracks Number Activity Passengers / freight / both Traction Electrified / Diesel Design speed km/h Max operating speed km/h Max axle load kN Maximum train length m Maximum inclination ‰ net tons per year Freight traffic flow trains per day Passenger traffic flow pass per year trains per day Table 2 - List of road indicators Indicator Unit of measurement / Coding National name Name European route name Name Status Existing / planned / under construction / to be upgraded Type of road Single carriageway / expressway / motorway with separated lanes Length Km Lanes numbers Design speed km/h Condition of the road high/medium/poor Eastern Partnership regional transport study June 2015 Annex I – Data Collection P a g e | 4
Indicator Unit of measurement / Coding Freight traffic flow trucks per day Passenger traffic flow cars per day
The indicator “Condition of the road” takes into account on surface design and maintenance status, whereas: High: Adequate surface condition with no hazard to traffic flow Medium: Acceptable condition, no immediate action is required as shown in the picture Poor: The road surface condition may pose risk to traffic flow and increased safety hazard.
1.1.2. DATA COVERAGE This section presents an overview of data coverage of indicators for countries and transport modes. The overview tables reported below represent the percentage (expressed in terms of length of EaP network to be covered) of data coverage of each indicator at country level. In green are indicated those situations where coverage is higher than 70%; in yellow the situations where the coverage is between 50% and 70%; in red all those situations where either data coverage is below 50% or no data has been provided or collected. Armenia and Belarus, where more problems were encountered in the data collection, are handled at the end of the section in dedicated tables.
1) AZERBAIJAN – GEORGIA – MOLDOVA - UKRAINE Table 3 – EaP road network - Data availability overview INFRASTRUCTURE TRAFFIC FLOWS
№ COUNTRY NAME National Name National Status Type Lanes (km/h) speed Design ofCondition the road flowtraffic Freight (trucks day) per Passenger flowtraffic (cars per day) 2 Azerbaijan 100% 100% 100% 100% 100% 100% 73% 73% 4 Georgia 100% 100% 100% 100% 100% 100% 79%* 79%* 5 Moldova 100% 100% 100% 100% 100% 100% 75%* 75%* 6 Ukraine 100% 100% 100% 100% 100% 99% 77% 0% GOOD DATA COVERAGE MEDIUM DATA COVERAGE NO DATA PROVIDED OR INSUFFICIENT DATA COVERAGE * Harmonised data Eastern Partnership regional transport study June 2015 Annex I – Data Collection P a g e | 5
Table 4 – EaP rail network - Data availability overview INFRASTRUCTURE TRAFFIC FLOWS Status oftracksNumber Activity Traction speed (km/h) Design Maxoperatingspeed (km/h) Maxaxle load (kN) Maximum train length (m) Maximuminclination (%) (tons flowtraffic Freight peryear) traffic Freight flow per (trainsday) flow Passenger traffic year) (pax per flowPassenger traffic (trainsday) per 2 Azerbaijan 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%* 100%* 100%* 100%* 4 Georgia 100% 100% 100% 100% 76% 76% 76% 76% 76% 76% 76% 15% 15%* 5 Moldova 100% 100% 100% 100% 0% 45% 100% 80% 100% 80% 80%* 84% 84%* 6 Ukraine 100% 100% 100% 100% 100% 100% 100% 0% 95% 0% 95% 0% 95% GOOD DATA COVERAGE MEDIUM DATA COVERAGE NO DATA PROVIDED OR INSUFFICIENT DATA COVERAGE * Harmonised data
2) ARMENIA - BELARUS Table 5 – EaP road network - Data availability overview Road Links - Data availability Overview INFRASTRUCTURE TRAFFIC FLOWS
№ COUNTRY NAME National Name National Status Type Lanes (km/h) speed Design ofCondition the road flowtraffic Freight (trucks day) per Passenger flowtraffic (cars per day) 1 Armenia 100% 100% 100% 100% 100% 100% 93% 93% 3 Belarus 100% 100% 85% 100% 100% 100% 19% 19% GOOD DATA COVERAGE MEDIUM DATA COVERAGE NO DATA PROVIDED OR INSUFFICIENT DATA COVERAGE Direct surveys on road conditions and traffic counts performed by IDEA II project improved data availability in Armenia and Belarus. Eastern Partnership regional transport study June 2015 Annex I – Data Collection P a g e | 6
Table 6 – EaP rail network - Data availability overview INFRASTRUCTURE TRAFFIC FLOWS Status oftracksNumber Activity Traction speed (km/h) Design speed operatingMax (km/h) axle Maxload (kN) Maximum train length (m) inclination Maximum(%) (tons flowtraffic Freight perday) traffic Freight flow per day) (trains flow traffic Passenger day) (pax per flowtraffic Passenger day) (trains per 1 Armenia 100% 100% 100% 100% 0% 0% 0% 0% 0% 0% 0% 0% 0% 3 Belarus 100% 100% 100% 100% 0% 0% 0% 0% 0% 0% 0% 0% 0% GOOD DATA COVERAGE MEDIUM DATA COVERAGE NO DATA PROVIDED OR INSUFFICIENT DATA COVERAGE Eastern Partnership regional transport study June 2015 Annex I – Data Collection P a g e | 7
2 DATA COLLECTED THROUGH NATIONAL ADMINISTRATIONS AND OFFICIAL SOURCES
The involvement of the IDEA country experts and EaP Transport Panel experts (first approach) was structured along the following activities: Establishing contact with TEN-Tec for receiving EaP transport network GIS files (shapefiles) and for assuring compatibility with indicators attributes; Since received TEN TEC shapefiles didn’t include inland waterways, producing shapefiles representing the EaP inland waterway network and ports (according to the map received from the Commission); On the basis of received TEN Tec shapefile, coding of network links to be collected and preparing of country maps with sections ID for road and rail; Preparing excel templates for indicators collection and circulation to the country experts together with country maps; Holding the TRACECA experts group meeting on 17-18 December 2014. Data collection approach was presented, official letters were sent to the Ministries along with the templates (in English and Russian). Submission dates were foreseen end of January 2015; Follow up with country experts after the meeting; Second round of data verification in February 2015; Direct contact with Armenia during IGC meeting in Istanbul 27 January 2015; Contact to Northern Dimension secretariat in February 2015; Second Expert Group model base year workshop on 17-18 March 2015; Expert group on inland waterways on 21 April 2015; Data mining of IDEA II experts and where possible, filling of data gaps for key infrastructure indicators by using public sources. Despite the efforts posed, the cooperation level of the various national administrations was quite diverse: as an example, data collection for Armenia and Belarus revealed to be very problematic. Where possible, data gaps for key infrastructure indicators were filled in by the IDEA II project team using public sources and, in some cases, direct surveys. As far as concerns data quality, infrastructure data collected for Ukraine, Moldova, Georgia and Azerbaijan are to be considered of overall good quality since they have been generally provided by the national administrations; only in some cases minor additional investigations were performed by the project team in fulfilling missing information. Problems of poor quality data applied only on some traffic flows information received by the national administrations and are mainly related to the misinterpretation of measurement units. These inconsistencies were either clarified by country experts or solved by the project team.
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2.1 TEMPLATES As already mentioned above, after the identification of key infrastructure and traffic flows indicators to be collected for each transport mode, Excel templates and country maps to be circulated between EaP national administrations were developed in order to facilitate the process of data collection. Here below developed templates and maps are reported.
2.1.1. ROAD TEMPLATE The following Excel template supported data collection for EaP roads. Experts of national administrations were requested to fill in the table below for each elementary road section (i.e. section with homogeneous characteristics). Figure 1 – Excel template supporting EaP road network data collection
ROAD LINK N° NUMBER (from the map) ROAD LINK from LOCATION to LOCATION From km a to km b INDICATOR VALUE UNITS / CODINGS National Name Status existing / planned / under construction Type single carriageway / expressway / motorway with separated lanes Lanes Design speed (km/h) km/h Condition of the road high / medium / poor Number and length of tunnels Road toll for cars Euro per km Road toll for trucks Euro per km Road toll for buses Euro per km Long. Gradient (%) % INDICATOR VALUE YEAR UNITS / CODINGS Freight traffic flow (tons per year) tons per year Freight traffic flow (trucks per year) trucks per year Passenger traffic flow (pax per year) pax per year Passenger traffic flow (cars per year) cars per year Number of accidents accidents per year Number of fatalities fatalities per year Number of injured injured per year
Excel templates were accompanied by the following country maps developed on the basis of received TEN Tec shapefile and representing the EaP road network and links. Eastern Partnership regional transport study June 2015 Annex I – Data Collection P a g e | 9
Figure 2 – EaP road network in Belarus
Figure 3 – EaP road network in Ukraine
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Figure 4 – EaP road network in Moldova
Figure 5 – EaP road network in Georgia
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Figure 6 – EaP road network in Armenia
Figure 7 – EaP road network in Azerbaijan
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2.1.2. RAIL TEMPLATE The following excel template supported data collection for EaP railways. Experts of national administrations were requested to fill in the table below for each elementary rail section (i.e. section with homogeneous characteristics). Figure 8 – Excel template supporting EaP rail network data collection
RAIL LINK N° NUMBER (from the map) RAIL LINK From LOCATION to LOCATION From А km to В km INDICATOR VALUE UNITS / CODINGS Status existing / planned / under construction Number of tracks Number Activity Freight / Passenger / Passenger and Freight Traction Electrified / Diesel Signalling system Design speed (km/h) Max operating speed (km/h) Max axle load (kN) Maximum train length (m) Length of tunnels Maximum inclination (‰) INDICATOR VALUE year UNITS / CODINGS Freight traffic flow (net tons per year) Net tons per year Freight traffic flow (trains per year) Trains per year Passenger traffic flow (pax per year) Pax per year Passenger traffic flow (trains per year) Trains per year Average travel time passenger hhmmss Average travel time freight hhmmss
Excel templates were accompanied by the following country maps developed on the basis of received TEN Tec shapefile and representing the EaP rail network and links. Eastern Partnership regional transport study June 2015 Annex I – Data Collection P a g e | 13
Figure 9 – EaP rail network in Armenia
Figure 10 – EaP rail network in Ukraine
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Figure 11 – EaP rail network in Moldova
Figure 12 – EaP rail network in Georgia
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Figure 13 – EaP rail network in Armenia
Figure 14 – EaP rail network in Azerbaijan
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2.2 SOURCES
Data was mainly provided by National Administrations of Moldova, Ukraine, Georgia and Azerbaijan. Additional investigations were performed by IDEA II project in order to fill minor data gaps and to complete as far as possible data collection for Armenia and Belarus.
2.2.1. ROAD
Data on roads in Moldova, Ukraine, Georgia and Azerbaijan has been mainly collected from National Administrations, with some additional investigation of the project team to fill minor data gaps. Here below the list of contact persons that supported data collection. Table 7 - List of National Administrations contributing to road data collection
Country Authority Contact person Armenia Ministry of Transport Violeta Aghajanyan Azerbaijan Ministry of Transport Azer Aliev Georgia Ministry of Transport Ketevan Takishvili Moldova Ministry of Transport Nicolae Mindra Yuriy Tverdov and Konstantin Ministry of Transport Ukraine Savchenko (Ministry), Natalia Dudnik Ukravtodor (Ukravtdoor)
Data received from Armenia was not adequate to respond to the level of detail required by the study and was integrated by the project team by exploiting additional sources (i.e. Open Street Map, Google Map, Google Heart, TRACECA model).
2.2.2. RAILWAYS
Data on railways has been mainly collected from National Administrations, with some additional investigation of the project team to fill some data gaps. Here below the list of contact persons that supported data collection. Table 8 - List of National Administrations contributing to rail data collection
Country Authority Contact person Armenia Ministry of Transport Violeta Aghajanyan
Azerbaijan Ministry of Transport Azer Aliev
Georgia Ministry of Transport Ketevan Takishvili
Moldova Ministry of Transport Nicolae Mindra
Yuriy Tverdov and Konstantin Ukraine Ministry of Transport Savchenko, Michael Kuznetsov Eastern Partnership regional transport study June 2015 Annex I – Data Collection P a g e | 17
Data received from Armenia was not adequate to respond to the level of detail required by the study and was integrated by the project team by exploiting additional sources (i.e. Open Street Map, Google Map, Google Heart, TRACECA model). The same sources were used to collect infrastructure data in Belarus. Additional sources were used by IDEA II team to improve the link lengths data in Ukraine, as listed below. http://www.biblos.in/forLife/railwaymap_ua.php http://railway.lviv.ua/info/maps/ http://uyristkonsult.at.ua/foto2/pzz_mapa.png Eastern Partnership regional transport study June 2015 Annex I – Data Collection P a g e | 18
3 DATA COLLECTED THROUGH DIRECT ROAD SURVEYS
The quality of road is an important indicator for the assessment of the characteristics of the infrastructure network in EaP countries. In order to improve data collection, dedicated surveys were planned to be performed on EaP main roads in Ukraine, Belarus and Armenia. Road survey covered the road surface inspection and cross section characteristics (no of lanes / speed). The experts marked the sections where the characteristics change and document the cross section and the road surface with pictures. At the end of the surveys, this information was included into the GIS maps and info-graphics accordingly.
3.1 UKRAINE
3.1.1. SURVEY ON ROAD QUALITY The survey of Ukrainian roads was documented by about 150 forms containing geographic coordinates (longitude and latitude), key information on the road infrastructure and a picture. Some examples of survey forms are reported below.
NUMBER 780 LOCATION Kiev---->Uman Route: M05/ Date: 26/03/2015 14:27 E 30.322848 N 50.261537 Results Lanes 2 per direction Speed (max) 90 Condition poor
NUMBER 807 LOCATION Mikolayev---->Kherson Route: M 14 Date: 08/04/2015 08:04 N 46.692354 E 32.525473 Results Lanes 1 lane per direction Speed (max) 90 Condition medium
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NUMBER 801 LOCATION Zhitomir---->Kiev Route: EDate: 40/ M06 26/03/2015 10:50 E 30.087725 N 50.435200 Results Lanes 2 lanes per direction Speed (max) 90 Condition high
Results of the survey were transmitted to the IDEA II database expert for their inclusion into the GIS and info-graphics. All the surveyed sections have been georeferenced and the GIS layer on road condition status has been updated on the basis of collected information. From the survey it emerged that in some cases road conditions were somehow variable along the surveyed section. In order to represent these situations of mixed road conditions the original classification encompassing only the categories “high”, “medium” and “poor” was updated by including two additional classes: “poor to medium” and “medium to high”. The map below illustrates the surveyed road, the documented sections (small squares), the updated thematic map of road conditions and a selection of photos.
1 M01/M02 Poor IDEA II Project June 2015 Final Report Road condition in Ukraine
Unverified Medium Poor Medium to High Poor to Medium High
2 E40/M06 High " (! Picture shown Picture available Hlukhiv Chernihiv Krolevets' Sarny Kovel Olevs'k Kipti 1 Korosten Luts'k Rivne Novohrad-Volyns'kyi KYIV Brovary Dubno 22 3 M05 Poor ! Boryspil' Zhytomyra (
Lubny Kharkiv L'viv Bila Tserkva
Ternopil' Poltava 3 Cherkasy 10 Stryi Vinnytsya Kremenchuk 7 4 Uman 4 E471/M06 Poor Uzhhorod 6 Mukacheve Dnipropetrovs'k Chernivtsi Debal'tseve 5 Donets'k Lyubashevka Dolzhans'kyi
Mariupol Mykolayiv 5 H10 Medium Melitopol' Kuchurhan 9 Kherson Odesa
8
Tatarbunary
Reni
6 E50 Poor
7 P10 Poor 8 E87 Poor 9 M14 Poor 10 E40/M03 Medium
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3.2 BELARUS
3.2.1. SURVEY ON ROAD QUALITY
The survey on road quality in Belarus was documented by about 80 forms containing longitude and latitude of surveyed sections, key information on the road infrastructure and a picture. Some examples of survey forms are reported below.
NUMBER LOCATION Lida---->Bieniakoni Route: E85/M11 Date: 21/04/2015 12:23 E 25.244025 N 54.046629 Results Lanes 1 lane per direction Speed (max) 90 Condition medium
NUMBER LOCATION Lida---->Grodno Route: M6 Date: 20/04/2015 18:37 E 24.171720 N 53.588409 Lanes 2 lanes per direction Speed (max) 102 Condition high
NUMBER E30/M1 LOCATION Kobryn---->Ivatsevichy Route: E30/M1 Date: 20/04/2015 12:49 E 24.586481 N 52.299972 Results Lanes 2 lane per direction Speed (max) 115 Condition medium
Results of the survey were transmitted to the IDEA II database expert for their inclusion into the GIS and info-graphics. The map below illustrates the surveyed road, the documented sections (small squares), the updated thematic map of road conditions and a selection of photos.
1 P20 Medium IDEA II Project June 2015 Final Report Road condition in Belarus
Unverified Medium Poor Medium to High 1 Polatsk Poor to Medium High
2 M11 High (! Picture shown " Picture available Vitsyebsk
10 Orsha 3 M6 Medium Tolochin
Borisov
Valozhyn
MINSK 2 Lida Mahilyow 3 (!
Hrodna 9 4 M6 Medium 4 Mar'ina Horka
Baranavichy 8 Babruysk
5 Žlobin
Ivatsevichi 5 M1 High
Homyel'
Kobryn6 7 Mikashevichy Kalinkavichy Brest Pinsk
6 M1 Medium
7 M10 Poor 8 M5 High 9 M8 Medium 10 M1 High
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3.2.2. TRAFFIC COUNTS
Traffic counts of vehicles segmented in cars, HGV, bus and minibuses have been counted for 15 minutes on 6 sections (Figure 15) of EaP roads in Belarus. Figure 15 – Traffic counts location in Belarus
Traffic counts have then been used to estimate average daily traffic and to update GIS and infographics data. The tables below report the collected information for each section. Table 9 – Traffic counts in Belarus
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3.3 ARMENIA
3.3.1. SURVEY ON ROAD QUALITY
The survey on road quality in Armenia was documented by about 60 forms containing longitude and latitude of surveyed sections, key information on the road infrastructure and a picture. Some examples of survey forms are reported below.
NUMBER 785 LOCATION Bavra---->Ashtarak Route: Date: 23/04/2015 11:45 E 43.858363 N 40.414071 Results Lanes 1 lane per direction Speed (max) 70 Condition poor
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NUMBER 785 LOCATION Bavra---->Ashtarak Route: Date: 23/04/2015 11:48 E 43.886645 N 40.404030 Results Lanes 1 lane per direction Speed (max) 70 Condition medium
NUMBER 877 LOCATION Alaverdi---->Ptghavan Route: M-6 Date: 22/04/2015 14:34 E 44.743205 N 41.116306 Results Lanes 1 lane per direction Speed (max) 60 Condition poor
Results of the survey were transmitted to the IDEA II database expert for their inclusion into the GIS and info-graphics. The map below illustrates the surveyed road, the documented sections (small squares), the updated thematic map of road conditions and a selection of photos.
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3.3.2. TRAFFIC COUNTS
Traffic counts of vehicles segmented in cars, HGV, bus and minibuses have been counted for 15 minutes on 12 sections (Figure 16) of EaP roads in Armenia. Figure 16 – Traffic counts location in Armenia
Traffic counts have then been used to estimate average daily traffic and to update GIS and infographics data. The tables below report the collected information for each section. Table 10 – Traffic counts in Armenia
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