Objective At present, the evaluation indicators for service performance recovery under the emergency response plan for metro station large passenger flows remain insufficient, making it difficult to quantitatively measure the overall passenger flow control measures of stations from the perspective of spatiotemporal process of incident evolution. Therefore, it is necessary to introduce resilience theory into the assessment of the resistance and recovery capabilities of metro stations in response to the large passenger flow impact.

Method By integrating quantitative and qualitative methods, the concepts of service resilience calculation indicators and service resilience observation indicators are proposed. For scenarios involving large passenger flows in metro stations, a passenger flow simulation model supporting the measurement of service resilience indicators is designed based on pedestrian simulation technology. In a case study of Daduhe Road Station on Shanghai Metro Line 13, the service process of the station and the dynamic changes of passenger flow are simulated to identify weak points that degrade the station’s service performance, and corresponding optimization schemes are proposed. The service resilience of the station is assessed, and relevant indicators before and after the optimization are compared.

Result & Conclusion  Measures such as reducing risk points in the station, improving the service efficiency of facilities, and implementing orderly passenger flow management can effectively enhance the station’s service resilience, validating the effectiveness of service resilience indicators as a new index to assess the emergency plan for large passenger flow and the implementation effect in metro stations.