Resilience Evaluation Method for Rail Transit Networks Considering Dynamic Passenger Flows

This study proposes an urban rail transit network resilience assessment method based on dynamic passenger flow, which quantifies the overall system performance from the structural and functional dimensions. At the structural level, the relative size of the largest pass subgraph is introduced to measure the network integrity, and the average node degree is used to evaluate the network connectivity; At the functional level, the passenger travel efficiency ratio is used to measure the operation efficiency of the supply side, and the proportion of unaffected passengers is used to evaluate the service support capability of the demand side. The weight of each index is determined by entropy weight method, and then the comprehensive performance evaluation model of rail transit system is constructed. Taking Nanjing Metro as an example, the empirical study shows that the performance change trend reflected by the introduction of dynamic passenger flow is significantly different from the evaluation results based on structural topology only, and the decline and recovery process of network performance after disturbance is closer to the actual operation. This study provides a theoretical basis for quantifying the resilience of rail transit network, and provides a reference for improving the system resilience and formulating optimization strategies.