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Demand-responsive transit circulator service network design

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  • Yu, Yao
  • Machemehl, Randy B.
  • Xie, Chi

Abstract

Commuter rail systems are being introduced into many urban areas as an alternative mode to automobiles for commuting trips. It is anticipated that the shift from the auto mode to rail mode can greatly help alleviate traffic congestion in urban road networks. However, the right-of-way of many existing commuter rail systems is usually not ideally located. Since the locations of rail systems were typically chosen long ago to serve the needs of freight customers, the majority of current commuter rail passengers have to take a non-walkable connecting trip to reach their final destinations after departing the most conveniently located rail stations. To make rail a more viable commuting option and thus more competitive to the auto mode, a bus feeder or circulator system is proposed for transporting passengers from their departing rail stations to final work destinations in a seamless transfer manner. The key research question with operating such a bus circulator system is how to optimally determine a bus route and stopping sequence for each circulating tour by using the real-time demand information. In this paper, we name this joint routing and stopping optimization problem the circulator service network design problem, the objective of which is to minimize the total tour cost incurred to bus passengers and operators with respect to minimizing the walk time of each individual bus passenger. A bi-level nonlinear mixed integer programming model is constructed and a tabu search method with different local search strategies and neighborhood evaluation methods is then developed for tackling the circulator service network design problem.

Suggested Citation

  • Yu, Yao & Machemehl, Randy B. & Xie, Chi, 2015. "Demand-responsive transit circulator service network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 160-175.
    • Handle: RePEc:eee:transe:v:76:y:2015:i:c:p:160-175
    DOI: 10.1016/j.tre.2015.02.009
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    References listed on IDEAS

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    3. Sharif Azadeh, Shadi & van der Zee, J. & Wagenvoort, M., 2022. "Choice-driven service network design for an integrated fixed line and demand responsive mobility system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 557-574.
    4. Peiqing Li & Longlong Jiang & Shunfeng Zhang & Xi Jiang, 2022. "Demand Response Transit Scheduling Research Based on Urban and Rural Transportation Station Optimization," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    5. Yinfei Feng & Zhichao Cao & Silin Zhang, 2022. "Shuttle Bus Timetable Adjustment in Response to Behind-Schedule Commuter Railway Disturbance," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
    6. (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.
    7. Shang, Huayan & Chang, Yi & Huang, Haijun & Zhao, Fangxia, 2022. "Integration of conventional and customized bus services: An empirical study in Beijing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

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