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Cascading failure with preferential redistribution on bus–subway coupled network

Author

Listed:
  • Sonnam Jo

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, P. R. China2Institute of Transportation Systems Science and Engineering, Beijing 100044, P. R. China3Systems Science Institute, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China4Telecommunication Research Center, Kim Il Sung University, Pyongyang 999093, D.P.R. Korea)

  • Liang Gao

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, P. R. China2Institute of Transportation Systems Science and Engineering, Beijing 100044, P. R. China3Systems Science Institute, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China)

  • Feng Liu

    (Institute of Transportation Systems Science and Engineering, Beijing 100044, P. R. China3Systems Science Institute, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China5Transportation Research Institute (IMOB), Hasselt University, Wetenschapspark 5, bus 6, Diepenbeek B-3590, Belgium)

  • Menghui Li

    (Beijing Institute of Science and Technology Information, Beijing 100048, P. R. China)

  • Zhesi Shen

    (National Science Library, Chinese Academy of Sciences, Beijing 100190, P. R. China)

  • Lida Xu

    (Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, P. R. China)

  • Zi-You Gao

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, P. R. China2Institute of Transportation Systems Science and Engineering, Beijing 100044, P. R. China3Systems Science Institute, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, P. R. China)

Abstract

Robustness studies on integrated urban public transport networks have attracted growing attention in recent years due to the significant influence on the overall performance of urban transport system. In this paper, topological properties and robustness of a bus–subway coupled network in Beijing, composed of both bus and subway networks as well as their interactions, are analyzed. Three new models depicting cascading failure processes on the coupled network are proposed based on an existing binary influence modeling approach. Simulation results show that the proposed models are more accurate than the existing method in reflecting actual passenger flow redistribution in the cascading failure process. Moreover, the traffic load influence between nodes also plays a vital role in the robustness of the network. The proposed models and derived results can be utilized to improve the robustness of integrated urban public transport systems in traffic planning.

Suggested Citation

  • Sonnam Jo & Liang Gao & Feng Liu & Menghui Li & Zhesi Shen & Lida Xu & Zi-You Gao, 2021. "Cascading failure with preferential redistribution on bus–subway coupled network," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 32(08), pages 1-13, August.
  • Handle: RePEc:wsi:ijmpcx:v:32:y:2021:i:08:n:s0129183121501035
    DOI: 10.1142/S0129183121501035
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    Cited by:

    1. Zhang, Lin & Xu, Min & Wang, Shuaian, 2023. "Quantifying bus route service disruptions under interdependent cascading failures of a multimodal public transit system based on an improved coupled map lattice model," Reliability Engineering and System Safety, Elsevier, vol. 235(C).

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