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Performance models of flexibly routed transportation services

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  • Wilson, Nigel H. M.
  • Hendrickson, Chris

Abstract

This paper critically reviews models to predict the performance of flexibly routed transfortation services such as taxi and dial-a-ride. Models of these services have been developed to assist in system design, in evaluation of alternatives, and in regulation. The approaches to modelling such services have been simulation, empirical, deterministic queuing and stochastic processes. Application of several models is illustrated by forecasting the level-of-service on six existing systems. While a good deal of effort has gone into model development and while some of the models appear to be quite accurate, an open question remains as to the acceptance and use of these models by planning and operating agencies.

Suggested Citation

  • Wilson, Nigel H. M. & Hendrickson, Chris, 1980. "Performance models of flexibly routed transportation services," Transportation Research Part B: Methodological, Elsevier, vol. 14(1-2), pages 67-78.
    • Handle: RePEc:eee:transb:v:14:y:1980:i:1-2:p:67-78
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    Cited by:

    1. Mohammad Torkjazi & Nathan Huynh, 2019. "Effectiveness of Dynamic Insertion Scheduling Strategy for Demand-Responsive Paratransit Vehicles Using Agent-Based Simulation," Sustainability, MDPI, vol. 11(19), pages 1-12, September.
    2. Li, Yuwei & Wang, Jessica & Chen, Justin & Cassidy, Michael, 2007. "Design of a Demand-Responsive Transit System," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8jd1q388, Institute of Transportation Studies, UC Berkeley.
    3. (Edward) Kim, Myungseob & Levy, Joshua & Schonfeld, Paul, 2019. "Optimal zone sizes and headways for flexible-route bus services," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 67-81.
    4. Bonner, Taylor & Miller-Hooks, Elise, 2023. "Achieving equitable outcomes through optimal design in the development of microtransit zones," Journal of Transport Geography, Elsevier, vol. 112(C).
    5. Li, Yuwei & Miller, Mark & Cassidy, Michael, 2009. "Improving Mobility through Enhanced Transit Services: Transit Taxi Service for Areas with Low Passenger Demand Density," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3mc4j70f, Institute of Transportation Studies, UC Berkeley.
    6. Rick Grahn & Sean Qian & Chris Hendrickson, 2023. "Optimizing first- and last-mile public transit services leveraging transportation network companies (TNC)," Transportation, Springer, vol. 50(5), pages 2049-2076, October.
    7. Sehyun Tak & Soomin Woo & Sungjin Park & Sunghoon Kim, 2021. "The City-Wide Impacts of the Interactions between Shared Autonomous Vehicle-Based Mobility Services and the Public Transportation System," Sustainability, MDPI, vol. 13(12), pages 1-29, June.
    8. Zhao, Jiamin & Dessouky, Maged, 2008. "Service capacity design problems for mobility allowance shuttle transit systems," Transportation Research Part B: Methodological, Elsevier, vol. 42(2), pages 135-146, February.
    9. Hai Wang, 2019. "Routing and Scheduling for a Last-Mile Transportation System," Service Science, INFORMS, vol. 53(1), pages 131-147, February.
    10. Diana, Marco & Dessouky, Maged M. & Xia, Nan, 2006. "A model for the fleet sizing of demand responsive transportation services with time windows," Transportation Research Part B: Methodological, Elsevier, vol. 40(8), pages 651-666, September.
    11. Shen, Yu & Zhang, Hongmou & Zhao, Jinhua, 2018. "Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 125-136.
    12. Itani, Alaa & Klumpenhouwer, Willem & Shalaby, Amer & Hemily, Brendon, 2024. "Guiding principles for integrating on-demand transit into conventional transit networks: A review of literature and practice," Transport Policy, Elsevier, vol. 147(C), pages 183-197.

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