Resilience assessment of an urban rail transit network under natural disasters

Assessment of the resilience of an urban rail transit (URT) network under natural disasters is of practical importance, especially with the intensification of global warming. This study develops a train schedule-based resilience assessment model to assess the resilience of a URT network under natural disasters, addressing a critical gap in existing research that often ignores the influence of the train schedule on resilience assessment. Numerical experiments on the Chengdu Metro network demonstrate that the travel time-based performance indicator can effectively evaluate the network performance, revealing that the train schedule has a significant influence on the network's resilience. Counties Shuangliu and Wuhou are identified as the most important countylevel administrative districts in Chengdu during rainstorms and strong wind events, respectively. Furthermore, this study explores the influence of parameters on the network's resilience and provides some policy implications based on the results obtained from the sensitivity analysis.