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dc.contributor.authorEvans, B
dc.contributor.authorLam, A
dc.contributor.authorWest, C
dc.contributor.authorAhmadian, R
dc.contributor.authorDjordjević, S
dc.contributor.authorChen, A
dc.contributor.authorPregnolato, M
dc.date.accessioned2023-11-24T11:52:18Z
dc.date.issued2023-11-04
dc.date.updated2023-11-23T20:12:41Z
dc.description.abstractWith the increase of the frequency and severity of flooding events, coupled with population growth, the risks posed to people from flooding is ever more apparent. This paper proposes a methodology to examine the risks posed to vehicles' occupants and pedestrians simultaneously in an urban context. Through considering stability functions of a range of vehicle types and pedestrian, a risk assessment profile for a vehicle occupant was derived. Using a historical 1-in-20-year rainfall flood event that took place in the city of Exeter (UK) in 2014, and a synthetic 1 in 100-year rainfall flood event, the potential risks posed to vehicle occupants were analysed. The results showed that for these events the potential risks posed to people travelling by car and caught in flood waters were likely to be more severe if they were to remain within their vehicles than if they were to exit said vehicles. Analysis of the changes in risk over time further revealed that if a vehicle was to become immobilised in flood water, they would only have a short timeframe (~10 min) before the level of risk increases. This is a critical finding, highlighting that remaining inside an immobilised vehicle during flood event and waiting for assistance may increase the level the risk the individual is exposed to, with the results showing the significance of such studies in reducing the risk of flooding to people.en_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.format.extent168237-
dc.format.mediumPrint-Electronic
dc.identifier.citationVol. 908, article 168237en_GB
dc.identifier.doihttps://doi.org/10.1016/j.scitotenv.2023.168237
dc.identifier.grantnumberGA 101037424en_GB
dc.identifier.grantnumberNE/K008765/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/134624
dc.identifierORCID: 0000-0003-3708-3332 (Chen, Albert)
dc.identifierScopusID: 57193002441 (Chen, Albert)
dc.identifierResearcherID: E-2735-2010 (Chen, Albert)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/37926250en_GB
dc.rights© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)en_GB
dc.subjectFlood modellingen_GB
dc.subjectNatural hazardsen_GB
dc.subjectPedestriansen_GB
dc.subjectRisken_GB
dc.subjectStabilityen_GB
dc.subjectTransportationen_GB
dc.subjectVehiclesen_GB
dc.titleA combined stability function to quantify flood risks to pedestrians and vehicle occupantsen_GB
dc.typeArticleen_GB
dc.date.available2023-11-24T11:52:18Z
dc.identifier.issn0048-9697
exeter.article-number168237
exeter.place-of-publicationNetherlands
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.descriptionData availability statement: The NIMROD radar rainfall, LiDAR, and Topography data used in the study were under the licenses by British Atmospheric Data Centre, Environment Agency, and the Ordnance Survey, respectively. All other data which are not subjected to non-disclosure agreements with stakeholders, or third parties are available upon request; data sources are clearly specified throughout the paper.en_GB
dc.identifier.eissn1879-1026
dc.identifier.journalScience of the Total Environmenten_GB
dc.relation.ispartofSci Total Environ, 908
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-10-29
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-11-04
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-11-24T11:50:23Z
refterms.versionFCDVoR
refterms.dateFOA2023-11-24T11:52:23Z
refterms.panelBen_GB
refterms.dateFirstOnline2023-11-04


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© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Except where otherwise noted, this item's licence is described as © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)