【摘要】 为提升城市轨道交通系统的韧性，识别复杂网络中的关键节点具有重要意义。构建了动态城市轨道交通系统复杂网络模型，结合网络拓扑结构特征和交通运输服务能力，从网络演化的角度识别不同发展阶段下的网络关键节点。通过对深圳市轨道交通网络的分析，结果表明在网络的起步建设阶段（2004—2013年），中介中心性高的节点对网络连通性影响显著；而在快速发展阶段（2014—2022年）和网络成熟阶段（2023年以后），度中心性高的换乘节点则对网络韧性更为关键。该研究为城市轨道交通系统的风险管理和应急响应提供了理论支持，未来研究可进一步探讨在实际客流加权和灾害扰动下的韧性评估与提升策略。更多还原

【Abstract】 In order to improve the resilience of urban rail transit systems, that identifying critical nodes in complex networks is of great significance. A dynamic complex network model was built for rail transit systems. By network topology structure characteristics and transport service capacity, the critical network nodes were identified by network evolution at different stages. Through an analysis of the Shenzhen metro network, the results show that nodes with high betweenness centrality have a significant impact on network connectivity during the initial phase(from2004 to 2013). During the rapid developing phase(from 2014 to 2022) and the mature phase(after 2023), transfer hubs with high degree centrality are more crucial to network resilience. This research provides theoretical support for risk management and emergency response in urban rail transit systems. The resilience assessment and enhancement strategies with real passenger flow and disaster-induced disruptions should be further studied in future.更多还原