China Safety Science Journal ›› 2024, Vol. 34 ›› Issue (5): 204-213.doi: 10.16265/j.cnki.issn1003-3033.2024.05.1355

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A resilience assessment model for multilayer networks of urban interdependent infrastructure

CHEN Changkun, WANG Siqi, SUN Fenglin, YU Rongfu   

  1. Institute of Disaster Prevention Science and Safety Technology, Central South University, Changsha Hunan 410018, China
  • Received:2023-11-12 Revised:2024-02-15 Online:2024-05-28 Published:2024-11-28

Abstract:

In order to investigate the influence of interdependent relationships in urban infrastructure systems on urban resilience, a combination of theoretical analysis and Python simulation was used to study the resilience change process of urban interdependent infrastructure systems under perturbation. Firstly, the network of urban interdependent infrastructure was constructed based on the resilience mechanisms and multilayer network theory. Then, the cascading failure process of the urban interdependent infrastructure network after three kinds of external perturbations under the functional linkage was explored, and the resilience assessment model of the urban interdependent infrastructure network was constructed based on the infrastructure function curve method. Finally, a county in the central north of Hunan Province was taken as the research object to conduct an example study. The results show that the clustering coefficient of power nodes in the interdependent infrastructure network is significantly higher than the overall average. The communications network has the strongest resistance and recovery of the 5 types of infrastructure networks and the highest level of resilience. The reliability of the overall interdependent infrastructure network and its sub-networks gradually decreases as the probability of node failure in the network increases, and the number of network layers increases. The network efficiency recovers to a higher level in a shorter time with the betweenness recovery strategy, indicating that it is more appropriate to use the betweenness recovery strategy for this infrastructure network.

Key words: urban interdependent infrastructure, network resilience, resilience assessment, assessment model, cascade failure

CLC Number: