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Realizable accessibility: evaluating the reliability of public transit accessibility using high-resolution real-time data

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Listed:
  • Luyu Liu

    (The Ohio State University)

  • Adam Porr

    (The Ohio State University)

  • Harvey J. Miller

    (The Ohio State University)

Abstract

The widespread availability of high spatial and temporal resolution public transit data is improving the measurement and analysis of public transit-based accessibility to crucial community resources such as jobs and health care. A common approach is leveraging transit route and schedule data published by transit agencies. However, this often results in accessibility overestimations due to endemic delays due to traffic and incidents in bus systems. Retrospective real-time accessibility measures calculated using real-time bus location data attempt to reduce overestimation by capturing the actual performance of the transit system. These measures also overestimate accessibility since they assume that riders had perfect information on systems operations as they occurred. In this paper, we introduce realizable real-time accessibility based on space–time prisms as a more conservative and realistic measure. We, moreover, define accessibility unreliability to measure overestimation of schedule-based and retrospective accessibility measures. Using high-resolution General Transit Feed Specification real-time data, we conduct a case study in the Central Ohio Transit Authority bus system in Columbus, Ohio, USA. Our results prove that realizable accessibility is the most conservative of the three accessibility measures. We also explore the spatial and temporal patterns in the unreliability of both traditional measures. These patterns are consistent with prior findings of the spatial and temporal patterns of bus delays and risk of missing transfers. Realizable accessibility is a more practical, conservative, and robust measure to guide transit planning.

Suggested Citation

  • Luyu Liu & Adam Porr & Harvey J. Miller, 2023. "Realizable accessibility: evaluating the reliability of public transit accessibility using high-resolution real-time data," Journal of Geographical Systems, Springer, vol. 25(3), pages 429-451, July.
    • Handle: RePEc:kap:jgeosy:v:25:y:2023:i:3:d:10.1007_s10109-022-00382-w
    DOI: 10.1007/s10109-022-00382-w
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    References listed on IDEAS

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    Cited by:

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    2. Liu, Rick Zhaoju & Shalaby, Amer, 2024. "Impacts of public transit delays and disruptions on equity seeking groups in Toronto – A time-expanded graph approach," Journal of Transport Geography, Elsevier, vol. 114(C).

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    More about this item

    Keywords

    Accessibility unreliability; GTFS; Space–time prism; Schedule-based accessibility; Retrospective real-time accessibility; Realizable real-time accessibility;
    All these keywords.

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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