Resilience reflects the combined ability of an urban rail network to withstand and recover quickly from unexpected events. In the context of networked operations, it is important to carry out safety and resilience assessments of urban rail transport in order to reduce the impact of emergencies on normal operations. This study constructs urban rail transit safety resilience assessment indicators in the context of networked operations in three dimensions: adaptability, responsiveness and resilience. Based on the inverse cloud model theory, the degree of certainty of each assessment indicator belonging to each level was obtained, and the weights obtained from the hierarchical analysis method were used to weight the degree of certainty of each indicator on average. Finally, the safety and resilience level is obtained by combining them according to the principle of maximum certainty. Taking the Tianjin metro as an example, a safety and resilience assessment model is constructed. The results show that the Tianjin metro is at a medium level of safety and resilience, and corresponding improvement suggestions are made to address the problems in the operation and management of the Tianjin metro.
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