Resilience assessment of urban rail transit stations considering disturbance and time-varying passenger flow

Abstract

Unlike most urban rail transit (URT) resilience studies on URT lines or networks under major disturbances, this paper focuses on the resilience assessment of URT stations under high-frequency daily disturbances with minor impacts. A resilience assessment metric with different resilience levels is proposed, which is calculated based on multiple criteria, including the number of delayed passengers, degree of congestion, economic loss from service suppliers’ perspective, extra in-station travel time, extra walking distance, and extra waiting time from passengers’ perspective. A two-stage passenger flow redistribution model is developed with stage one focusing on route adjustment under disturbance, while stage two determining the walking path within the disrupted station. A case study of Simaqiao Station in the Chengdu subway network in China is conducted. The numerical results indicate that this station demonstrates strong resilience in most scenarios, although it faces challenges under certain identified disturbances.