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dc.contributor.authorBell, Michael G. H.en_US
dc.contributor.authorKurauchi, Fumitakaen_US
dc.contributor.authorPerera, Supunen_US
dc.contributor.authorWong, Walteren_US
dc.date.accessioned2018-08-21T05:54:02Z-
dc.date.available2018-08-21T05:54:02Z-
dc.date.issued2017-05-01en_US
dc.identifier.issn0191-2615en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.trb.2017.03.002en_US
dc.identifier.urihttp://hdl.handle.net/11536/145516-
dc.description.abstractTransport networks operating at or near capacity are vulnerable to disruptions, so flow bottlenecks are potent sources of vulnerability. This paper presents an efficient method for finding transport network cuts, which may constitute such bottlenecks. Methods for assessing network vulnerability found in the literature require origin-destination demands and path assignment. However, in transport network planning and design, demand information is often missing, out of date, partial or inaccurate. Capacity weighted spectral partitioning is proposed to identify potential flow bottlenecks in the network, without reference to demand information or path assignments. This method identifies the network cut with least capacity, taking into account the relative sizes of the sub-networks either side of the cut. Spectral analysis has the added advantage of tractability, even for large networks, as shown by numerical examples for a five-node illustrative example, the Sioux Falls road network and the Gifu Prefecture road network. (C) 2017 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectNetwork vulnerabilityen_US
dc.subjectNetwork capacityen_US
dc.subjectSpectral analysisen_US
dc.subjectGraph Laplacianen_US
dc.subjectEigen valuesen_US
dc.subjectEigen vectorsen_US
dc.titleInvestigating transport network vulnerability by capacity weighted spectral analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.trb.2017.03.002en_US
dc.identifier.journalTRANSPORTATION RESEARCH PART B-METHODOLOGICALen_US
dc.citation.volume99en_US
dc.citation.spage251en_US
dc.citation.epage266en_US
dc.contributor.department運輸與物流管理系 註:原交通所+運管所zh_TW
dc.contributor.departmentDepartment of Transportation and Logistics Managementen_US
dc.identifier.wosnumberWOS:000401398700012en_US
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