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Vulnerability assessments of urban rail transit networks based on extended coupled map lattices with evacuation capability.

Authors :
Zhang, Jianhua
Min, Qinjie
Zhou, Yu
Cheng, Lilai
Source :
Reliability Engineering & System Safety. Mar2024, Vol. 243, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

• The evacuation capability of station in urban rail transit networks is depicted in this paper. • This paper proposes the extended coupled map lattices to analyze the station state of urban rail transit networks. • The commuting ability is designed to measure the topological vulnerability of urban rail transit networks. • The critical threshold of external disturbance can be obtained as R = 2.6. • The topological structure has a greater impact on network vulnerability compared with transportation function. This paper proposes the evacuation capability of station to design the extended coupled map lattices and analyzes the passenger dynamics and station states of urban rail transit networks subjected to the external disturbances. Meanwhile, the commuting ability of station is designed to study the topological vulnerability and the residual flow ratio of passenger flow is involved to study the functional vulnerability of urban rail transit networks. Moreover, three malicious attacks are used to imitate the external disturbances, and Shanghai metro network is taken as the example to illustrate the feasibility and effectiveness of the proposed model. The results show that urban rail transit networks have certain robustness subjected to the external disturbances and the global cascading failures will take place when the external disturbance R ≥ 2.6 , which indicates that R = 2.6 is the critical threshold of external disturbances to smash urban rail transit networks subjected to three malicious attacks. By comparisons, we can declare that the nodes with the highest betweenness and the largest degree must be provided more protections in daily operation of urban rail transit networks, and the topological structure has a greater impact on network vulnerability compared with transportation function. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09518320
Volume :
243
Database :
Academic Search Index
Journal :
Reliability Engineering & System Safety
Publication Type :
Academic Journal
Accession number :
174642254
Full Text :
https://doi.org/10.1016/j.ress.2023.109826