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Measuring access to public transport in European cities

Measuring access to public transport in European cities. Hugo Poelman REGIO-GIS DG Regional and Urban Policy. Measuring access to public transport. Location of all public transport stops Frequency of services bus and tram trains and metros Population per building block based on

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Measuring access to public transport in European cities

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  1. Measuring access to public transport in European cities Hugo Poelman REGIO-GIS DG Regional and Urban Policy

  2. Measuring access to public transport • Location of all public transport stops • Frequency of services • bus and tram • trains and metros • Population per building block based on • detailed population grids • census tracts • neighbourhood statistics • plus disaggregation using land use data and/or imperviousness if needed

  3. General Transit Feed Specification model

  4. Location of stops Bus and tram Train and metro Stockholm

  5. Average stops an hour from 6 am to 8 pm on a normal week day

  6. Service areas around stops • Stops near to each other are clustered • bothsides of a street; bus stations • sum of availabledepartures per cluster • Service areas • 5 minutes walking distance for bus and tram • 10 minutes for train and metro • using comprehensive street network, accessible to pedestrians

  7. Frequency classes • Number of departures per service area • In overlapping areas: maximum value of the overlapping service areas • Frequency classes • High: > 10 departures an hour • Medium: more than 4 but less than 10 an hour • Low: less than 4 an hour • Null: no public transport stops withinwalking distance

  8. Combined frequency classes

  9. Population distribution Urban Atlas Population by block

  10. Four spatial levels: City, Urban Centre, Greater City and Larger Urban Zone Larger Urban Zone is not shown on these samples: It includes the area with substantial commuting to the city.

  11. Stockholm: areas and population by access to public transport and its frequency 844,000 1,135,000 1,542,000 2,042,000 inh. inh. inh. inh.

  12. Population distribution and number of departures in large cities* Y% of population has access to at least X departures an hour * cities: defined as urban centres

  13. Population distribution and number of departures in mid-size cities* Y% of population has access to at least X departures an hour * cities: defined as urban centres

  14. Conclusion • A new harmonised way of assessing access to public transport • Gives an internationally comparable method of assessment • Can also be used to develop regional indicators • Uses big data: millions of departures, thousands of bus, tram, train and metro stops

  15. Challenges • Timeliness and spatial resolution of population distribution data • Harmonised implementation of public transport data standards • Understanding and conversion of data according to national standards • Differences in open data policy implementation, data licensing policy • Theoretical versus real-life transport offer

  16. Sources • Delineation of cities: EC-OECD city definitions • Population distribution: NSIs, GEOSTAT 2006 grid • Copernicus Urban Atlas 2006 land use data • Road network: TomTom MultiNet • Public transport data: BE: VVM De Lijn, STIB-MIVB, SRWT-TEC, Infrabel; DK: Rejseplanen.dk; IE: dublinked.ie, LUAS, Irish Rail; EE: www.peatus.ee; FR: open data portals of cities/départements; NL: OV-9292; FI: www.matka.fi, HSL; SE: www.trafiklab.se; UK: Data.gov.uk (NapTAN and NPTDR); various cities: http://www.gtfs-data-exchange.com/agencies; Die Bahn

  17. Questions ?

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