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Cascading failures coupled model of interdependent double layered public transit network

Author

Listed:
  • Lin Zhang

    (School of Transportation Engineering, Shandong Jianzhu University, Jinan, 250101, P. R. China)

  • Bai-Bai Fu

    (School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan, 250101, P. R. China)

  • Shu-Bin Li

    (Public Security Department, Shandong Police College, Jinan, 250014, P. R. China)

Abstract

Taking urban public transit network as research perspective, this work introduces the influences of adjacent stations on definition of station initial load, the connected edge transit capacity, and the coupled capacity to modify traditional load-capacity cascading failures (CFs) model. Furthermore, we consider the coupled effect of lower layered public transit network on the CFs of upper layered public transit network, and construct CFs coupled model of double layered public transit network with “interdependent relationship”. Finally, taking Jinan city’s public transit network as example, we give the dynamics simulation analysis of CFs under different control parameters based on measurement indicator of station cascading failures ratio (abbreviated as CF) and the scale of time-step cascading failures (abbreviated as TCFl), get the influencing characteristics of various control parameters, and verify the feasibility of CFs coupled model of double layered public transit network.

Suggested Citation

  • Lin Zhang & Bai-Bai Fu & Shu-Bin Li, 2016. "Cascading failures coupled model of interdependent double layered public transit network," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(12), pages 1-18, December.
    • Handle: RePEc:wsi:ijmpcx:v:27:y:2016:i:12:n:s012918311650145x
    DOI: 10.1142/S012918311650145X
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    Citations

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    Cited by:

    1. Zhang, Lin & Lu, Jian & Fu, Bai-bai & Li, Shu-bin, 2019. "A cascading failures model of weighted bus transit route network under route failure perspective considering link prediction effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1315-1330.
    2. Fei Ma & Fei Liu & Kum Fai Yuen & Polin Lai & Qipeng Sun & Xiaodan Li, 2019. "Cascading Failures and Vulnerability Evolution in Bus–Metro Complex Bilayer Networks under Rainstorm Weather Conditions," IJERPH, MDPI, vol. 16(3), pages 1-30, January.
    3. Zhang, Lin & Wen, Huiying & Lu, Jian & Lei, Da & Li, Shubin & Ukkusuri, Satish V., 2022. "Exploring cascading reliability of multi-modal public transit network based on complex networks," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    4. Lin Zhang & Jian Lu & Bai-bai Fu & Shu-bin Li, 2018. "A Review and Prospect for the Complexity and Resilience of Urban Public Transit Network Based on Complex Network Theory," Complexity, Hindawi, vol. 2018, pages 1-36, December.

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