Work

A simulation approach for analyzing metro resilience under operational incidents

Year: 2025

Type: article

Abstract: Operational incidents represent the most prevalent anomalies encountered within metro systems. This study develops a simulation-based approach aimed at comprehensively understanding the impact of such incidents on metro resilience. Unlike prior research, which often assumes complete station or link closures in response to abnormal events, the proposed approach acknowledges the implementation of dynamic rescheduling strategies to restore metro services. A performance-based metric is proposed to assess metro resilience. To validate the effectiveness of the developed approach, a case study is conducted utilizing empirical data from the Shanghai metro system. Results demonstrate that the proposed metric offers enhanced discrimination between performance degradation resulting from operational incidents and that arising from daily performance fluctuations, surpassing the capabilities of existing metrics. Furthermore, the validity and practicality of our approach are underscored through simulations of multiple real-world operational incidents and comparisons with traditional approaches. The time-varying resilience produced by the developed approach closely aligns with real-world data, showcasing its ability to accurately capture metro resilience evolution.

Source: International Journal of Transportation Science and Technology

DOI: 10.1016/j.ijtst.2025.03.001

Authors: Yuxiong Ji, Wenxuan Fan, Yu Shen, Yuchuan Du, Wei Wang

Institution: Tongji University

Language: English

Topic: Infrastructure Resilience and Vulnerability Analysis

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: diamond

Funders: National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality