Surrogate-based decision-making for post-earthquake recovery scheduling and resilience assessment of subway systems considering the effect of infrastructure interdependency

Jie Hu, Weiping Wen, Changhai Zhai and Shunshun Pei

Reliability Engineering and System Safety, 2025, vol. 256, issue C

Abstract: This study proposes a method for post-earthquake recovery and seismic resilience assessment of subway systems considering the effect of infrastructure interdependency. A two-stage recovery decision-making model is established. In the pre-earthquake stage, reserved restoration resources are determined by balancing recovery speed and recovery efficiency. In the post-earthquake stage, the optimal restoration schedules are obtained by solving the established functional recovery optimization model using the NSGA-II. A deep learning-based surrogate model for functionality computation is developed to significantly reduce the computational costs in the recovery decision-making and optimization process. A seismic resilience assessment and recovery decision-making process is conducted for a real, large-scale subway system. The results indicate that the subway system exhibits high recovery efficiency in its early-stage recovery and a high level of seismic resilience. The study highlights the significant impact of the municipal power supply system (MPSS) as a critical infrastructure system. The recovery time affected by the MPSS accounts for more than 33% of the total recovery time of the subway system. Ignoring the impact of the MPSS led to an average 12.13% underestimation of the center of resilience. These results underscore the substantial influence of the MPSS on the recovery and seismic resilience of subway systems.

Keywords: Subway system; Urban rail transit; Surrogate model; Infrastructure interdependency; Resilience (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024008524

DOI: 10.1016/j.ress.2024.110781

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