Research on Critical Node Identification and Resilience Optimization Strategies for Urban Infrastructure Systems Considering Disaster Vulnerability

Research on Critical Node Identification and Resilience Optimization Strategies for Urban Infrastructure Systems Considering Disaster Vulnerability

연구 분야: Infrastructure

학회: China National Conference on Big Data and Social Computing

With the development of cities, the interconnections among various urban systems have become increasingly profound. The interdependencies among different infrastructure systems not only ensure the efficient operation of cities but also introduce additional safety risks, rendering urban disasters more unpredictable and prone to cascading amplification. To enhance urban resilience, this paper proposes a collaborative node centrality metric for physical infrastructure systems that incorporates system vulnerability to disasters. Compared to other centrality metrics, this method comprehensively considers the network's topological structure, operational mechanisms, and disaster vulnerability. Based on real-world infrastructure networks, this study compares the effectiveness of different node reinforcement strategies in reducing loss scale under the same reinforcement conditions. The results demonstrate that the reinforcement strategy based on the collaborative importance metric outperforms those based on traditional centrality metrics. Additionally, this method is applicable to interconnected complex networks and can capture changes in node importance within a single network caused by dependencies between different networks, thereby providing scientific guidance for resilience optimization strategies in infrastructure systems.