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dc.contributor.authorMeng, Qiang
dc.contributor.authorQu, Xiaobo
dc.contributor.authorYong, Kum Thong
dc.contributor.authorWong, Yoke Heng
dc.date.accessioned2017-05-03T16:09:49Z
dc.date.available2017-05-03T16:09:49Z
dc.date.issued2011
dc.date.modified2012-07-02T05:51:02Z
dc.identifier.issn0272-4332
dc.identifier.doi10.1111/j.1539-6924.2011.01624.x
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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent277438 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherWiley Blackwell
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom1872
dc.relation.ispartofpageto1882
dc.relation.ispartofissue12
dc.relation.ispartofjournalRisk Analysis
dc.relation.ispartofvolume31
dc.rights.retentionY
dc.subject.fieldofresearchTransport engineering
dc.subject.fieldofresearchcode400512
dc.titleQRA Model-Based Risk Impact Analysis of Traffic Flow in Urban Road Tunnels
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyright© 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/
gro.date.issued2011
gro.hasfulltextFull Text
gro.griffith.authorQu, Xiaobo


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