Measuring the resilience of an urban rail transit network: A multi-dimensional evaluation model

Authors

Zhaio Ma
Xin Yang
Jianjun Wu
Anthony Chen
Yun Wei
Ziyou Gao

Document Type

Journal Article

Publication Date

2022

Subject Area

place - asia, place - urban, mode - rail, mode - subway/metro, ridership - behaviour, planning - methods, planning - signage/information

Keywords

Urban rail transit, Resilience evaluation, Multi-dimensional model, Multi-source data

Abstract

Once an urban rail transit (URT) system breaks down or is deliberately damaged, it will cause tremendous pressure on the whole urban transportation system. Hence, its ability to deal with incidents has become an important research field. Existing studies seldom consider the entire cycle of an incident and ignore changes in passenger travel behavior during emergency events. In this paper, resilience is defined as the ability of absorbing, resisting and recovering when the URT network fails. We propose a multi-dimensional evaluation model for measuring the resilience by calculating multiple abilities with consideration of multi-source data including passenger flow, train diagram, passenger travel choice behavior, network topology, etc. Finally, we present a case study based on real-world data from the Beijing Subway network to illustrate the effectiveness and applicability of the proposed model. Through the resilience analysis, we recognize the critical stations, measure emergency recovery ability and provide necessary information support for reducing the risk of URT incidents.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

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http://www.sciencedirect.com/science/journal/0967070X

Recommended Citation

Ma, Z., Yang, X., Wu, J., Chen, A., Wei, Y., & Gao, Z. (2022). Measuring the resilience of an urban rail transit network: A multi-dimensional evaluation model. Transport Policy, Vol. 129, pp. 38-50.