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dc.contributor.authorPyatkova, Ken_GB
dc.contributor.authorChen, ASen_GB
dc.contributor.authorButler, Den_GB
dc.contributor.authorVojinovic, Zen_GB
dc.contributor.authorDjordjevic, Sen_GB
dc.date.accessioned2019-05-14T12:51:41Z
dc.date.issued2019-05-17
dc.description.abstractFlooding can affect every aspect of our lives and road transportation is no an exception. However, the interaction between floods and transportation was not investigated closely in the past. As transportation is the lifeline of any economy, it is essential to analyse potential dangers and threads that can lead to network capacity restraints. Considering the potential of flooding to affect large areas for long durations, disruptions to transportation can result in extensive knock-on effects. To examine how flooding can impact road transportation a novel methodology was developed into a software tool which integrates flood and traffic models. The flood is simulated with InfoWorks flood model and the traffic is represented by a detailed microscopic model (SUMO), which simulates individual vehicles and their interactions. The two systems are integrated in a dynamic way, whereby changes in the flood propagation dictates the temporal variation of road network capacity restrictions. Depending on the flood characteristics, a flooded road in the traffic model undergoes either a speed limit reduction or a complete closure. Once a road has been closed for traffic, vehicles that originally pass through it are forced to choose alternative routes to reach their unique destinations. The reroute will put an additional strain on a system that is already suffering reduced network capacity. The most vulnerable roads in the network are identified after a comparison of the traffic conditions under normal and flooded situation. The results indicate that the locations of flooded streets cannot be directly associated with the most severely congested areas emphasising the significance of the knock-on effects when describing flood impacts on road transportation.en_GB
dc.description.sponsorshipEuropean Commissionen_GB
dc.identifier.citationVol. 244, pp. 48-60en_GB
dc.identifier.doi10.1016/j.jenvman.2019.05.013
dc.identifier.grantnumber603663en_GB
dc.identifier.urihttp://hdl.handle.net/10871/37087
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.urlhttps://doi.org/10.24378/exe.1384
dc.rights© 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
dc.subjectflood impactsen_GB
dc.subjectmicroscopic traffic modellingen_GB
dc.subjectmodel integrationen_GB
dc.subjecttraffic disruptionen_GB
dc.subjectknock-on effectsen_GB
dc.titleAssessing the knock-on effects of flooding on road transportation (article)en_GB
dc.typeArticleen_GB
dc.date.available2019-05-14T12:51:41Z
dc.identifier.issn1095-8630
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.descriptionThe dataset associated with this article is available in ORE: https://doi.org/10.24378/exe.1384
dc.identifier.journalJournal of Environmental Managementen_GB
dc.rights.urihttp://creativecommons.org/licenses/BY/4.0/en_GB
dcterms.dateAccepted2019-05-03
exeter.funder::European Commissionen_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-05-03
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-05-14T10:33:33Z
refterms.versionFCDAM
refterms.dateFOA2019-05-29T09:41:00Z
refterms.panelBen_GB


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© 2019 The Authors. Published by Elsevier Ltd. 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 © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).