Resilience Evaluation of Transportation Infrastructures Based on Simulations: A Case Study of Fozuling Metro Station in China

Due to the low price of living and convenient commuting, a large number of working people choose to live at the end of a metro line. The morning and evening rush hours formed by daily commuting have brought heavy pressure to the initial-terminal stations, which has largely been ignored by previous research on transportation resilience. Using Anylogic simulation software, this study simulates the operation of an initial-terminal station in one of the most important metro lines in Wuhan and evaluates its operation status by proposing a new resilience index. The index was derived by analyzing the relationships between the number of passengers boarding the metro, as well as entering and leaving the station. This paper simulates the dynamic resilience level of the station over a workday under two scenarios, namely the normal operating scenario of equipment as R1, and the optimized scenario of equipment as R2. The results show that during the morning and evening peak, the station has a lower resilience level compared to the resilience level during other time periods, and the passing speed of the security checkpoint is a key factor influencing the overall resilience level through the metro station. This study contributes to the knowledge system of resilience by developing and dispersing an evaluation index of transportation infrastructure resilience which is simple and easy to use.; selecting a case and the passenger flow data in a station is used to test the index; using quantitative simulation instead of the widely used approaches such as questionnaire, interview; performing a dynamic evaluation of resilience from 08:00 to 20:00; and providing calculation and evaluation tools for finding the optimal strategy to improve resilience. This study provides a reference for the planning and design of metro stations, especially the setting of the equipment in a metro station and the design of the initial terminal's operation plan to cope with the peak passenger flows.