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Recovery Analysis and Maintenance Priority of Metro Networks Based on Importance Measure

Author

Listed:
  • Hongyan Dui

    (Business College, Luoyang Polytechnic, Luoyang 471000, China
    School of Management, Zhengzhou University, Zhengzhou 450001, China)

  • Yuheng Yang

    (School of Reliability and System Engineering, Beihang University, Beijing 100191, China)

  • Yun-an Zhang

    (Laboratory of Science and Technology on Integrated Logistics Support, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China)

  • Yawen Zhu

    (School of Management, Zhengzhou University, Zhengzhou 450001, China)

Abstract

The metro network plays a vital role in the urban transportation system. However, the metro network is easily damaged by humans and natural disturbances. This can cause serious economic damage, such as the suspension of metro station operations and line disruptions. Therefore, we conducted this study in order to minimize the loss caused by the damage to the metro network and improve the performance of the network after recovery. Based on the cascading failures of metro networks, this paper proposes a recovery model for metro networks considering the value of time. Then, considering the time value, a new node importance measure is proposed using the determination of maintenance priorities. The maintenance priorities of nodes with different importance values are investigated to minimize network losses. Lastly, the applicability of the method is verified by a metro network in Zhengzhou city.

Suggested Citation

  • Hongyan Dui & Yuheng Yang & Yun-an Zhang & Yawen Zhu, 2022. "Recovery Analysis and Maintenance Priority of Metro Networks Based on Importance Measure," Mathematics, MDPI, vol. 10(21), pages 1-20, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:21:p:3989-:d:955287
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    Cited by:

    1. Hongyan Dui & Yulu Zhang & Songru Zhang & Yun-An Zhang, 2023. "Recovery Model and Maintenance Optimization for Urban Road Networks with Congestion," Mathematics, MDPI, vol. 11(9), pages 1-17, April.
    2. Hongyan Dui & Xinyue Wang & Haohao Zhou, 2023. "Redundancy-Based Resilience Optimization of Multi-Component Systems," Mathematics, MDPI, vol. 11(14), pages 1-16, July.

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