TY - JOUR
T1 - Measuring the resilience of an urban rail transit network
T2 - A multi-dimensional evaluation model
AU - Ma, Zhiao
AU - Yang, Xin
AU - Wu, Jianjun
AU - Chen, Anthony
AU - Wei, Yun
AU - Gao, Ziyou
N1 - Funding Information:
This research was supported by the National Key R&D Program of China (No. 2020YFB1600702 ), the National Natural Science Foundation of China (Nos. 72071015 , 72288101 , 71890972/71890970 ), the State Key Laboratory of Rail Traffic Control and Safety (No. RCS2021ZZ001 ), and the 111 Project (No. B20071 ).
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
KW - Multi-dimensional model
KW - Multi-source data
KW - Resilience evaluation
KW - Urban rail transit
UR - http://www.scopus.com/inward/record.url?scp=85139858186&partnerID=8YFLogxK
U2 - 10.1016/j.tranpol.2022.10.003
DO - 10.1016/j.tranpol.2022.10.003
M3 - Journal article
AN - SCOPUS:85139858186
SN - 0967-070X
VL - 129
SP - 38
EP - 50
JO - Transport Policy
JF - Transport Policy
ER -