Urban metro networks have become a crucial mode of transportation for people due to their convenience, safety, and reliability. With the rapid development of urban metro networks, they exhibit characteristics of intensive and interdependent growth, relying on support from various key infrastructure networks such as power, communication, and information networks. This paper analyzes the resilience of urban metro networks under the dependency on electric power facilities using complex network theory and accessibility theory. It reveals that the greater the topological dependency of substations, the greater the impact on the resilience of the metro network after an attack. Substations dependent on metro stations with higher passenger flows exhibit higher rates of change in metro network accessibility and have a greater impact on metro network resilience following an attack. Furthermore, considering the dependency relationship, the accessibility and resilience of the metro network are significantly better after a substation is attacked, showing lower rates of change in accessibility, faster recovery, shorter impact times, and better overall resilience.

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Study on the Resilience of Urban Metro Network Under Electric Utility Linkage

  • Rundong Wang,
  • Shixin Wang,
  • Pengcheng Xu,
  • Xinyu Zuo,
  • Jingjing Hou

摘要

Urban metro networks have become a crucial mode of transportation for people due to their convenience, safety, and reliability. With the rapid development of urban metro networks, they exhibit characteristics of intensive and interdependent growth, relying on support from various key infrastructure networks such as power, communication, and information networks. This paper analyzes the resilience of urban metro networks under the dependency on electric power facilities using complex network theory and accessibility theory. It reveals that the greater the topological dependency of substations, the greater the impact on the resilience of the metro network after an attack. Substations dependent on metro stations with higher passenger flows exhibit higher rates of change in metro network accessibility and have a greater impact on metro network resilience following an attack. Furthermore, considering the dependency relationship, the accessibility and resilience of the metro network are significantly better after a substation is attacked, showing lower rates of change in accessibility, faster recovery, shorter impact times, and better overall resilience.