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dc.contributor.author
Sun, Daniel J.
dc.contributor.author
Zhao, Yuhan
dc.contributor.author
Lu, Qing-Chang
dc.date.accessioned
2019-06-18T13:00:53Z
dc.date.available
2017-06-11T18:42:23Z
dc.date.available
2019-06-18T13:00:53Z
dc.date.issued
2015-06
dc.identifier.issn
2071-1050
dc.identifier.other
10.3390/su7066919
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/103113
dc.identifier.doi
10.3929/ethz-b-000103113
dc.description.abstract
Rail transit is developing rapidly in major cities of China and has become a key component of urban transport. Nevertheless, the security and reliability in operation are significant issues that cannot be neglected. In this paper, the network and station vulnerabilities of the urban rail transit system were analyzed based on complex network and graph theories. A vulnerability evaluation model was proposed by accounting metro interchange and passenger flow and further validated by a case study of Shanghai Metro with full-scale network and real-world traffic data. It is identified that the urban rail transit network is rather robust to random attacks, but is vulnerable to the largest degree node-based attacks and the highest betweenness node-based attacks. Metro stations with a large node degree are more important in maintaining the network size, while stations with a high node betweenness are critical to network efficiency and origin-destination (OD) connectivity. The most crucial stations in maintaining network serviceability do not necessarily have the highest passenger throughput or the largest structural connectivity. A comprehensive evaluation model as proposed is therefore essential to assess station vulnerability, so that attention can be placed on appropriate nodes within the metro system. The findings of this research are of both theoretical and practical significance for urban rail transit network design and performance evaluation.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
MDPI
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Vulnerability analysis
en_US
dc.subject
Urban rail transit networks
en_US
dc.subject
Complex network theory
en_US
dc.subject
Metro interchange
en_US
dc.subject
Passenger flow
en_US
dc.title
Vulnerability Analysis of Urban Rail Transit Networks: A Case Study of Shanghai, China
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2015-05-28
ethz.journal.title
Sustainability
ethz.journal.volume
7
en_US
ethz.journal.issue
6
en_US
ethz.pages.start
6919
en_US
ethz.pages.end
6936
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
010201556
ethz.publication.place
Basel
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-06-11T18:42:59Z
ethz.source
ECIT
ethz.identifier.importid
imp593653601b69611607
ethz.ecitpid
pub:161306
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T23:10:19Z
ethz.rosetta.lastUpdated
2019-06-18T13:01:14Z
ethz.rosetta.versionExported
true
ethz.COinS
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