中国安全科学学报 ›› 2024, Vol. 34 ›› Issue (5): 204-213.doi: 10.16265/j.cnki.issn1003-3033.2024.05.1355

• 公共安全 • 上一篇    下一篇

城市关联基础设施多层网络韧性评估模型

陈长坤, 王思琪, 孙凤琳, 余荣付   

  1. 中南大学 防灾科学与安全技术研究所,湖南 长沙 410018
  • 收稿日期:2023-11-12 修回日期:2024-02-15 出版日期:2024-05-28
  • 作者简介:

    陈长坤 (1977—),男,福建福安人,博士,教授,主要从事火灾科学与智慧消防、城市公共安全及应急管理等方面的研究。E-mail:

  • 基金资助:
    国家自然科学基金重大项目资助(72091512)

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 Published:2024-05-28

摘要:

为了探究城市基础设施系统关联关系对城市韧性的影响,采用理论分析和python模拟相结合的方法研究城市关联基础设施系统在扰动下的韧性变化过程。首先,基于韧性机制和多层网络理论,构建城市关联基础设施网络;然后,探究在功能关联下,城市关联基础设施网络受到3种外界扰动后的级联失效过程,并基于基础设施系统机能曲线法,构建城市关联基础设施网络韧性评估模型;最后,以湖南省中部偏北某县作为研究对象进行实例研究。结果表明:关联网络中电力节点的聚类系数明显高于整体平均水平;通信网络的抵御能力和恢复能力是5类基础设施网络中最强的,韧性水平也最高;随着网络中节点失效概率增大和网络层数的增加,整体关联基础设施网络及其子网络的可靠性逐渐降低;网络效率在介数恢复策略下恢复至较高水平时间较短,说明对此基础设施网络使用介数恢复策略更为合适。

关键词: 城市关联基础设施, 网络韧性, 韧性评估, 评估模型, 级联失效

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

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