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A round-trip bus evacuation model with scheduling and routing planning

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Listed:
  • Zhao, Xing
  • Ji, Kang
  • Xu, Peng
  • Qian, Wen-wen
  • Ren, Gang
  • Shan, Xiao-nian

Abstract

As emergencies occur more frequently, such as natural disasters and industrial accidents, evacuation planning attracts more and more attention. Bus is often used to evacuate car-free people due to its large capacity and manageability. To improve the efficiency and practicality of public transport evacuation plans, this paper presents a round-trip bus evacuation model based on unfixed routes with simultaneous optimization of bus scheduling and routing planning. With constraints of bus capacity, evacuee demand at pick-up points, time windows and flow balance, the proposed model aims to reduce the total evacuee time cost, including in-bus travel time and waiting time. Moreover, a two-layer algorithm, integrating the insertion algorithm and the edge-exchange algorithm, is devised to obtain the model sub-optimal solution. To verify the effectiveness of the proposed model and solution, two cases are presented in this paper. In the first case, the proposed model and algorithm manage to solve bus evacuation problems effectively. Furthermore, sensitivity analyses are conducted to show the impact factors on the objective function. Based on the realistic topology and size network of Ningbo in China, the second case illustrates the practical value of the model and solution in large-scale evacuation, and demonstrates the superiority over the conventional solution.

Suggested Citation

  • Zhao, Xing & Ji, Kang & Xu, Peng & Qian, Wen-wen & Ren, Gang & Shan, Xiao-nian, 2020. "A round-trip bus evacuation model with scheduling and routing planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 285-300.
  • Handle: RePEc:eee:transa:v:137:y:2020:i:c:p:285-300
    DOI: 10.1016/j.tra.2020.05.008
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    References listed on IDEAS

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    1. Olli Bräysy & Michel Gendreau, 2005. "Vehicle Routing Problem with Time Windows, Part I: Route Construction and Local Search Algorithms," Transportation Science, INFORMS, vol. 39(1), pages 104-118, February.
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    4. Swamy, Rahul & Kang, Jee Eun & Batta, Rajan & Chung, Younshik, 2017. "Hurricane evacuation planning using public transportation," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 43-55.
    5. Victor C. Pereira & Douglas R. Bish, 2015. "Scheduling and Routing for a Bus-Based Evacuation with a Constant Evacuee Arrival Rate," Transportation Science, INFORMS, vol. 49(4), pages 853-867, November.
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    Cited by:

    1. Ye, Shi & Chen, Qun & Tang, Yi, 2023. "Anger between bus drivers and passengers or among passengers: Development of a bus passenger anger scale (BPAS) and a bus driver anger scale (BDAS)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(C).
    2. Muhammad Fadhlullah Abu Bakar & Shuhairy Norhisham & Herda Yati Katman & Chow Ming Fai & Nor Najwa Irina Mohd Azlan & Nur Sarah Shaziah Samsudin, 2022. "Service Quality of Bus Performance in Asia: A Systematic Literature Review and Conceptual Framework," Sustainability, MDPI, vol. 14(13), pages 1-21, June.

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