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Optimization of a Bus and Rail Transit System with Feeder Bus Services under Different Market Regimes

In: Transportation and Traffic Theory 2009: Golden Jubilee

Author

Listed:
  • Zhi-Chun Li

    (The Hong Kong Polytechnic University, Hong Kong and Huazhong University of Science and Technology)

  • William H.K. Lam

    (The Hong Kong Polytechnic University)

  • S.C. Wong

    (The University of Hong Kong)

Abstract

This paper proposes analytical models for optimizing a bus and rail transit system with feeder bus services under different market regimes. The market regimes concerned include: monopoly (with profit maximization), social optimum (with social welfare maximization), and oligopoly. In the proposed models, transit operator aims to optimize the frequencies and fares of the bus, rail and feeder bus services, while accounting for the responses from transit passengers (in terms of travel mode choice as well as demand elasticity) to the level of transit services and fares. A solution algorithm is developed to solve the proposed models. Numerical results show that a single implementation of the feeder bus service scheme may not be most cost-effective. A joint implementation of the feeder bus service scheme and other schemes, such as transfer coordination between transit modes and integrated fare scheme, can significantly improve the performance of the multimodal transit system in terms of total social welfare.

Suggested Citation

  • Zhi-Chun Li & William H.K. Lam & S.C. Wong, 2009. "Optimization of a Bus and Rail Transit System with Feeder Bus Services under Different Market Regimes," Springer Books, in: William H. K. Lam & S. C. Wong & Hong K. Lo (ed.), Transportation and Traffic Theory 2009: Golden Jubilee, chapter 0, pages 495-516, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4419-0820-9_25
    DOI: 10.1007/978-1-4419-0820-9_25
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    Citations

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    Cited by:

    1. Sivakumaran, Karthikgeyan & Li, Yuwei & Cassidy, Michael J. & Madanat, Samer, 2010. "Cost-Saving Properties of Schedule Coordination in a Simple Trunk-and-Feeder Transit System," University of California Transportation Center, Working Papers qt9qr8s3hx, University of California Transportation Center.
    2. Jiang, Y. & Szeto, W.Y., 2016. "Reliability-based stochastic transit assignment: Formulations and capacity paradox," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 181-206.
    3. Li, Zhi-Chun & Wang, Ya-Dong, 2018. "Analysis of multimodal two-dimensional urban system equilibrium for cordon toll pricing and bus service design," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 244-265.
    4. Jin, Jian Gang & Tang, Loon Ching & Sun, Lijun & Lee, Der-Horng, 2014. "Enhancing metro network resilience via localized integration with bus services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 63(C), pages 17-30.
    5. Junjun Wei & Kejun Long & Jian Gu & Qingling Ju & Piao Zhu, 2020. "Optimizing Bus Line Based on Metro-Bus Integration," Sustainability, MDPI, vol. 12(4), pages 1-14, February.

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