Resilience assessment of an urban rail transit network under natural disasters
Document Type
Journal Article
Publication Date
2025
Subject Area
place - urban, place - asia, mode - subway/metro, operations - performance, operations - scheduling, planning - methods
Keywords
urban rail transit (URT), schedule-based resilience assessment model
Abstract
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 county-level 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.
Rights
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Recommended Citation
Chen, J., Liu, X., Hu, X., Du, B., & Yin, Y. (2025). Resilience assessment of an urban rail transit network under natural disasters. Transportation Research Part D: Transport and Environment, 139, 104587.

Comments
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