Eurostat Workshop on Passenger Mobility Eurostat activities and possible future actions – Towards common indicators on passenger mobility? Eurostat Unit E6: Transport 17/06/2013

Eurostat Overview 2 Eurostat project on PM mobility - in addition to joint activities with ITF & UNECE Key indicators collected Examples of results Comparability issues Conclusions & possible next steps

Eurostat Monitoring of National Travel Surveys Data & metadata collection 2 collection rounds per year 2 questionnaires (short and long) Focus on metadata and main results (no micro-data) Participating countries EU27 EU candidate countries EFTA Compiling 3 reports twice a year Up-to-date inventory of national surveys on passenger mobility Non-harmonised database of main national results Methodological report on passenger mobility statistics Dissemination on CIRCA 3

Eurostat Key indicators collected: 1)Share of trip makers in the total reference population in one day 2)Daily trips modal share 3)Average number of trips/person/day 4)Average travel distance (km) /person/day 5)Average total travel time (min)/person/day 6)Average travel time & distance by purpose of travel 7)Average travel time & distance by mode of travel 4

Eurostat Examples of results - 1: daily trips modal share 5

Eurostat Example 2: Average number of trips/person/day 6 HU The indicator refers to the average number of trips without going home RO The indicator refers only to transport by passenger cars HU The indicator refers to the average number of trips without going home RO The indicator refers only to transport by passenger cars

Eurostat Example 3: Average travel time (min) and distance (km) by purpose 7 LV refers to educational institutions HU refers to school & kindergarten NO refers to school LV refers to educational institutions HU refers to school & kindergarten NO refers to school DK(2010), FI(2005), HU(2009), LV(2008), NO(2005), RO(2010), CH(2005), UK(2009)

Eurostat Main obstacles to comparability Inconsistencies in coverage Modes of transport Distance classes Survey frequency Inconsistencies in the compilation of indicators Reference population Reference period Breakdown variables 8

Eurostat Differences in reference period and population CountryName of survey Reference yearPeriod where the indicators refer toPopulation where the indicators refer to CY Short distance passenger mobility survey2009One working day and a weekendHouseholds and persons interviewed DEMobility in Germany2008-German residents DKDanish national travel survey days of the yearDanish residents aged 10–84 years FIFinnish national Travel survey days of the yearTotal population aged 6 years and over FRFrench national travel survey2008WeekdayResident population aged 6 years and over HUPassenger mobility survey2009WeekdayTotal Hungarian population IENational travel Survey2009- Resident population aged 18 and over who are in the country at the time of the survey LVMobility survey of Latvian population2008Specific days of the weekResident population aged 5 years and over NLDutch travel survey2007Weekday Permanent resident population except from those living in institutions NONorwegian personal travel survey2005Any day of the weekPermanent residents aged 13 years and over ROTransport by passenger cars2010 One working day and a day in the weekendAll permanent residents SESwedish national travel survey2006Whole weekPermanent residents aged 8-84 years CHMicrocensus on travel behaviour days of the yearSwiss residents aged 6 and over TRPassenger mobility survey2010Whole week All private households in settlements located in Turkey UKNational travel survey (NTS) days of the yearUK residents in private households 9

Eurostat Conclusions Not possible to analyse passenger mobility trends across Europe based on currently produced national indicators Growing need for comparable data for European and national policy makers, researchers, modellers and infrastructure planning Monitoring of progress towards White Paper on Transport goals: Halve the use of 'conventionally fuelled' cars in urban transport by 2030; phase them out in cities by 2050 By 2050 the majority of medium-distance (between 300 and 1000km) passenger transport should go by rail 10

Eurostat Translating policy needs into indicators Minimum set of comparable passenger mobility indicators most policy-relevant, regularly available across Europe, for instance.: Transport activity in urban areas, expressed in pkm, for passenger cars by technology, passenger vans, P2W, buses, rail, tram and metro; Transport activity by distance class (>300 & <1000 km) in pkm for all passenger modes: passenger cars and vans, P2W, coaches, rail, aviation and IWW. 11

Eurostat Way Forward National Travel Surveys have great potential of providing valuable policy-relevant data – how to best explore it? How to optimise national efforts by moving towards more convergence and comparability in the future? Step 1: Joint Eurostat/DG MOVE Workshop & Round Table discussion Possible next steps : Agreeing on min set of common indicators ? Some degree of harmonisation of key definitions and coverage ? Manual/Guidelines on Passenger Mobility Statistics ? Setting-up a Task Force/Drafting Committee ? Financial help in form of grants ? 12