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Switching service types for multi-region bus systems

Author

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  • Myungseob (Edward) Kim
  • Paul Schonfeld
  • Eungcheol Kim

Abstract

Conventional fixed-route bus services are generally preferred to flexible-route services at high demand densities, and vice versa. This paper formulates the problem of integrating conventional and flexible services that connect a main terminal to multiple local regions over multiple time periods. The system’s vehicle size, route spacing (for conventional services), service area (for flexible services), headways and fleet sizes are jointly optimized to minimize the sum of supplier costs and user costs. The route spacing for conventional bus services and service area for flexible bus services are also optimized for each region. The proposed solution method, which uses a genetic algorithm and analytic optimization, finds good solutions quickly. Numerical examples and sensitivity analyses confirm that the single fleet variable-type bus service may outperform either the single fleet conventional bus service or the single fleet flexible bus service when demand densities vary substantially among regions and time periods.

Suggested Citation

  • Myungseob (Edward) Kim & Paul Schonfeld & Eungcheol Kim, 2018. "Switching service types for multi-region bus systems," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(6), pages 617-643, August.
  • Handle: RePEc:taf:transp:v:41:y:2018:i:6:p:617-643
    DOI: 10.1080/03081060.2018.1488930
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    Cited by:

    1. Sayarshad, Hamid R. & Gao, H. Oliver, 2020. "Optimizing dynamic switching between fixed and flexible transit services with an idle-vehicle relocation strategy and reductions in emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 198-214.
    2. Sangveraphunsiri, Tawit & Cassidy, Michael J. & Daganzo, Carlos F., 2022. "Jitney-lite: a flexible-route feeder service for developing countries," Transportation Research Part B: Methodological, Elsevier, vol. 156(C), pages 1-13.
    3. Daganzo, Carlos F. & Ouyang, Yanfeng, 2019. "A general model of demand-responsive transportation services: From taxi to ridesharing to dial-a-ride," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 213-224.

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