@article{ref1,
title="Invulnerability analysis of urban rail transit network based on weighted passenger flow",
journal="China safety science journal (CSSJ)",
year="2022",
author="Ma, M. and Hu, D. and Liu, J. and Ma, Z.",
volume="32",
number="12",
pages="141-149",
abstract="In order to accurately assess the impact of urban rail transit station failure on network structure and service quality, a passenger flow weighted topological structure model of the urban rail transit network was constructed using both the Space L method and station passenger flow at first. Subsequently, a comprehensive evaluation index of invulnerability was proposed considering the network topology and service quality. The invulnerability of random and intentional attacks on urban rail transit networks was analyzed under three load distribution strategies: degree centrality distribution, betweenness centrality distribution, and residual capacity distribution. Finally, the Xi'an rail transit network in 2021 was taken as an example for verification and analysis. The results show that stations with larger passenger flow or connecting the central group and branch of the network are the key urban rail transit network stations. The damage degree on urban rail transit networks based on the maximum intensity of intentional attack is more serious than other attack strategies with increasing the number of continuous attacks. Under three intentional attacks, including the maximum degree, maximum betweenness, and maximum intensity, the minimum threshold of capacity adjustment coefficient and the maximum threshold of passenger transfer rate are 0.5 and 0.4, respectively, when the invulnerability performance of networks is optimal. © 2022 China Safety Science Journal. All rights reserved.<p /><p>Language: zh</p>",
language="zh",
issn="1003-3033",
doi="10.16265/j.cnki.issn1003-3033.2022.12.0203",
url="http://dx.doi.org/10.16265/j.cnki.issn1003-3033.2022.12.0203"
}