Research on safety resilience assessment of network-operation-based urban metro transit

Keke Ji; Zhengzhong Li; Xin Zhang; Shuang Liu; Keliang Liu

doi:10.1117/12.2619630

22 December 2021 Research on safety resilience assessment of network-operation-based urban metro transit

Keke Ji, Zhengzhong Li, Xin Zhang, Shuang Liu, Keliang Liu

Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 120584U (2021) https://doi.org/10.1117/12.2619630
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China

Abstract

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.

Citation Download Citation

Keke Ji, Zhengzhong Li, Xin Zhang, Shuang Liu, and Keliang Liu "Research on safety resilience assessment of network-operation-based urban metro transit", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 120584U (22 December 2021); https://doi.org/10.1117/12.2619630

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