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A mathematical programming model for the bus deviation route problem

Author

Listed:
  • A Pratelli

    (Universitá di Pisa)

  • F Schoen

    (Universitá degli Studi di Firenze)

Abstract

In small towns, or in those peripherical metropolitan areas in which the demand for public transportation is relatively low, the objectives of the bus route planner are different from those faced in highly congested networks. Some towns, also in Italy, are experimenting with urban public transportation systems where regular bus routes are designed which allow users located at specific points outside the main line to signal their presence to the bus driver, who then deviates from the main route to satisfy this demand. This way the bus line is a mixture between a regular line and a dial-a-ride system. The bus deviation route problem is concerned with the design problem which arises in planning the location of the demand points outside the line. A model is presented which takes into account both the advantage of passengers served by this deviation device and the disadvantage suffered by passengers on the bus, whose travel time increases during deviations, and by passengers downstream of the deviation whose waiting time also increases. Through some modeling assumption we are able to represent this problem as a mixed integer linear programming problem, whose relatively low dimension allows for exact solution through standard simplex-based branch and bound code. The proposed model has been applied to a real case and some results of this are presented and discussed.

Suggested Citation

  • A Pratelli & F Schoen, 2001. "A mathematical programming model for the bus deviation route problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(5), pages 494-502, May.
  • Handle: RePEc:pal:jorsoc:v:52:y:2001:i:5:d:10.1057_palgrave.jors.2601109
    DOI: 10.1057/palgrave.jors.2601109
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    Cited by:

    1. Chen, Peng Will & Nie, Yu Marco, 2017. "Analysis of an idealized system of demand adaptive paired-line hybrid transit," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 38-54.
    2. 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.
    3. Xin Li & Wanying Liu & Jingyuan Qiao & Yanhao Li & Jia Hu, 2023. "An Enhanced Semi-Flexible Transit Service with Introducing Meeting Points," Networks and Spatial Economics, Springer, vol. 23(3), pages 487-527, September.

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