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dc.contributor.authorMeng, Qiangen_US
dc.contributor.authorQu, Xiaoboen_US
dc.contributor.authorYong, Kum Thongen_US
dc.contributor.authorWong, Yoke Hengen_US
dc.date.accessioned2017-04-24T13:49:17Z
dc.date.available2017-04-24T13:49:17Z
dc.date.issued2011en_US
dc.date.modified2012-07-02T05:51:02Z
dc.identifier.issn15396924en_US
dc.identifier.doi10.1111/j.1539-6924.2011.01624.xen_US
dc.identifier.urihttp://hdl.handle.net/10072/44487
dc.description.abstractRoad tunnels are vital infrastructures providing underground vehicular passageways for commuters and motorists. Various quantitative risk assessment (QRA) models have recently been developed and employed to evaluate the safety levels of road tunnels in terms of societal risk (as measured by the F/N curve). For a particular road tunnel, traffic volume and proportion of heavy goods vehicles (HGVs) are two adjustable parameters that may significantly affect the societal risk, and are thus very useful in implementing risk reduction solutions. To evaluate the impact the two contributing factors have on the risk, this article first presents an approach that employs a QRA model to generate societal risk for a series of possible combinations of the two factors. Some combinations may result in F/N curves that do not fulfill a predetermined safety target. This article thus proposes an "excess risk index" in order to quantify the road tunnel risk magnitudes that do not pass the safety target. The two-factor impact analysis can be illustrated by a contour chart based on the excess risk. Finally, the methodology has been applied to Singapore's KPE road tunnel and the results show that in terms of meeting the test safety target for societal risk, the traffic capacity of the tunnel should be no more than 1,200 vehs/h/lane, with a maximum proportion of 18% HGVs.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent277438 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherWiley Blackwellen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom1872en_US
dc.relation.ispartofpageto1882en_US
dc.relation.ispartofissue12en_US
dc.relation.ispartofjournalRisk Analysisen_US
dc.relation.ispartofvolume31en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchTransport Engineeringen_US
dc.subject.fieldofresearchcode090507en_US
dc.titleQRA Model-Based Risk Impact Analysis of Traffic Flow in Urban Road Tunnelsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightCopyright 2011 Society for Risk Analysis. This is the author-manuscript version of the paper. Reproduced in accordance with the copyright policy of the publisher. The definitive version is available at http://onlinelibrary.wiley.com/en_US
gro.date.issued2011
gro.hasfulltextFull Text


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