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Constructing a routable retrospective transit timetable from a real-time vehicle location feed and GTFS

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  • Wessel, Nate
  • Allen, Jeff
  • Farber, Steven

Abstract

We describe a method for retroactively improving the accuracy of a General Transit Feed Specification (GTFS) package by using a real-time vehicle location data set provided by the transit agency. Once modified, the GTFS package contains the observed rather than the scheduled transit operations and can be used in research assessing network performance, reliability and accessibility. We offer a case study using data from the Toronto Transit Commission and find that substantial aggregate accessibility differences exist between scheduled and observed services. This ‘error’ in the scheduled GTFS data may have implications for many types of measurements commonly derived from GTFS data.

Suggested Citation

  • Wessel, Nate & Allen, Jeff & Farber, Steven, 2017. "Constructing a routable retrospective transit timetable from a real-time vehicle location feed and GTFS," Journal of Transport Geography, Elsevier, vol. 62(C), pages 92-97.
    • Handle: RePEc:eee:jotrge:v:62:y:2017:i:c:p:92-97
    DOI: 10.1016/j.jtrangeo.2017.04.012
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    References listed on IDEAS

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    1. Ahmed El-Geneidy & Ron Buliung & Ehab Diab & Dea van Lierop & Myriam Langlois & Alexander Legrain, 2016. "Non-stop equity: Assessing daily intersections between transit accessibility and social disparity across the Greater Toronto and Hamilton Area (GTHA)," Environment and Planning B, , vol. 43(3), pages 540-560, May.
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    5. Fransen, Koos & Neutens, Tijs & Farber, Steven & De Maeyer, Philippe & Deruyter, Greet & Witlox, Frank, 2015. "Identifying public transport gaps using time-dependent accessibility levels," Journal of Transport Geography, Elsevier, vol. 48(C), pages 176-187.
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    Cited by:

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    2. Braga, Carlos Kaue V. & Loureiro, Carlos Felipe Grangeiro & Pereira, Rafael H.M., 2023. "Evaluating the impact of public transport travel time inaccuracy and variability on socio-spatial inequalities in accessibility," Journal of Transport Geography, Elsevier, vol. 109(C).
    3. Lee, Jinhyung & Miller, Harvey J., 2020. "Robust accessibility: Measuring accessibility based on travelers' heterogeneous strategies for managing travel time uncertainty," Journal of Transport Geography, Elsevier, vol. 86(C).
    4. Stępniak, Marcin & Pritchard, John P. & Geurs, Karst T. & Goliszek, Sławomir, 2019. "The impact of temporal resolution on public transport accessibility measurement: Review and case study in Poland," Journal of Transport Geography, Elsevier, vol. 75(C), pages 8-24.
    5. Allen, Jeff & Farber, Steven, 2019. "Sizing up transport poverty: A national scale accounting of low-income households suffering from inaccessibility in Canada, and what to do about it," Transport Policy, Elsevier, vol. 74(C), pages 214-223.
    6. Klar, Ben & Lee, Jinhyung & Long, Jed A. & Diab, Ehab, 2023. "The impacts of accessibility measure choice on public transit project evaluation: A comparative study of cumulative, gravity-based, and hybrid approaches," Journal of Transport Geography, Elsevier, vol. 106(C).
    7. Mayaud, Jerome & Anderson, Sam & Tran, Martino & Radic, Valentina, 2018. "Insights from self-organizing maps for predicting accessibility demand for healthcare infrastructure," SocArXiv yngx4, Center for Open Science.

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