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Robust accessibility: Measuring accessibility based on travelers' heterogeneous strategies for managing travel time uncertainty

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  • Lee, Jinhyung
  • Miller, Harvey J.

Abstract

Uncertainties in travel times due to traffic congestion and delay are risks for drivers and public transit users. To avoid undesired consequences such as losing jobs or missing medical appointments, people can manage the risks of missing on-time arrivals to destinations using different strategies, including leaving earlier to create a safety margin and choosing routes that have more reliable rather than fastest travel times. This research develops a general analytical framework for measuring accessibility considering automobile or public transit travelers' heterogeneous strategies for dealing with travel time uncertainty. To represent different safety margin plans, we use effective travel time (expected time + safety margin), given specified on-time arrival probabilities. Heterogeneity in routing strategy is addressed using different Pareto-optimal routes with two main criteria: faster travel time vs. higher reliability. Based on various safety margin and routing strategy combinations, we examine how accessibility changes under varying safety margin plans and routing strategies. Also, we define and measure robust accessibility: geographic regions that are accessible regardless of the safety margin planning and routing strategy. Robust accessibility can provide a conservative and reasonable view of accessibility under travel time uncertainty. To demonstrate the applicability of the methods, we carry out an empirical study on measuring the impacts of new transit service on healthcare accessibility in a deprived neighborhood in Columbus, Ohio, USA.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:jotrge:v:86:y:2020:i:c:s0966692319309172
    DOI: 10.1016/j.jtrangeo.2020.102747
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Jed A. Long & Jinhyung Lee & Darja Reuschke, 2023. "Activity graphs: Spatial graphs as a framework for quantifying individual mobility," Journal of Geographical Systems, Springer, vol. 25(3), pages 377-402, July.
    2. Javanmard, Reyhane & Lee, Jinhyung & Kim, Junghwan & Liu, Luyu & Diab, Ehab, 2023. "The impacts of the modifiable areal unit problem (MAUP) on social equity analysis of public transit reliability," Journal of Transport Geography, Elsevier, vol. 106(C).
    3. Chandra, Aitichya & Sharath, M.N. & Pani, Agnivesh & Sahu, Prasanta K., 2021. "A multi-objective genetic algorithm approach to design optimal zoning systems for freight transportation planning," Journal of Transport Geography, Elsevier, vol. 92(C).
    4. Singh, Suraj Shirodkar & Javanmard, Reyhane & Lee, Jinhyung & Kim, Junghwan & Diab, Ehab, 2021. "The new BRT system has led to an overall increase in transit-based accessibility to essential services during the COVID-19 pandemic: Empirical evidence from Winnipeg, Canada," OSF Preprints anjd7, Center for Open Science.
    5. 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).
    6. Rafael H. M. Pereira & Pedro R. Andrade & João Pedro Bazzo Vieira, 2023. "Exploring the time geography of public transport networks with the gtfs2gps package," Journal of Geographical Systems, Springer, vol. 25(3), pages 453-466, July.

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