IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v32y2021i08ns0129183121501035.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183121501035
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0129183121501035?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).
    2. Yifeng Xiao & Zhenghong Zhong & Rencheng Sun, 2024. "Analysis of Topological Properties and Robustness of Urban Public Transport Networks," Sustainability, MDPI, vol. 16(15), pages 1-23, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijmpcx:v:32:y:2021:i:08:n:s0129183121501035. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.