Abstract
To improve the recovery ability of urban rail transit in response to emergencies, a resilience based network recovery model for rail transit is proposed, and recovery strategies under both unweighted and weighted networks are studied. Identify vulnerable stations in the rail transit network by sequentially attacking them and observing changes in network efficiency; Using network efficiency as a performance evaluation indicator, a recovery model with the goal of maximizing resilience is constructed using the "resilience triangle" method to solve the optimal recovery strategy for damaged sites. The identification of vulnerable sites based on the analysis results is related to their location in the network; The optimal recovery order is related to the location of the site in the network and the passenger flow of the site.