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Research on the Performance Recovery Strategy Model of Hangzhou Metro Network Based on Complex Network and Tenacity Theory

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  • Xiaohong Yin

    (School of Economics and Management, Liaoning University of Technology, Jinzhou 121001, China)

  • Jiakun Wu

    (School of Economics and Management, Liaoning University of Technology, Jinzhou 121001, China)

Abstract

Based on complex networks and resilience theory, the structural characteristics and post-disaster performance recovery process of the urban metro network are studied to determine the best repair strategy for metro network performance under different scenarios. Specifically: (1) The space-L method is used to model the Hangzhou metro network, and MATLAB software is used to calculate the characteristic parameter values of the Hangzhou metro network structure; (2) A model of the post-disaster resilience of the Hangzhou metro network was constructed, and network efficiency was used as the evaluation index of the resilience level and resilience of the metro network; (3) The performance recovery process of the metro network under different scenarios was simulated and the optimal recovery strategy of the post-disaster metro network was obtained. The results show that the degree values of the Hangzhou metro network nodes are all generally low; the average passage path between nodes is long and the nodes are scattered, which makes the convenience of residents’ travel low. In addition, the degree index and the betweenness have some influence on the recovery order of the failed nodes. Finally, the genetic algorithm solves the post-disaster optimal recovery strategy of the metro network with good results.

Suggested Citation

  • Xiaohong Yin & Jiakun Wu, 2023. "Research on the Performance Recovery Strategy Model of Hangzhou Metro Network Based on Complex Network and Tenacity Theory," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6613-:d:1122844
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    References listed on IDEAS

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    1. Elisa Frutos Bernal & Angel Martín del Rey, 2019. "Study of the Structural and Robustness Characteristics of Madrid Metro Network," Sustainability, MDPI, vol. 11(12), pages 1-24, June.
    2. Henry, Devanandham & Emmanuel Ramirez-Marquez, Jose, 2012. "Generic metrics and quantitative approaches for system resilience as a function of time," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 114-122.
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    Cited by:

    1. Tan, Erlong & Liu, Bing & Guo, Cong & Ma, Xiaolei, 2024. "Restoration sequence optimization for vulnerable metro stations with limited budget: A case study of Beijing, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 653(C).
    2. He, Renfei & Zhang, Limao & Tiong, Robert L.K., 2025. "Responding of metro stations to upcoming floods: To close or to protect?," Reliability Engineering and System Safety, Elsevier, vol. 256(C).

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