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dc.contributor.authorCoates, G
dc.contributor.authorAlharbi, M
dc.contributor.authorLi, C
dc.contributor.authorAhilan, S
dc.contributor.authorWright, N
dc.date.accessioned2020-05-21T11:43:47Z
dc.date.issued2020-02-17
dc.description.abstractThe resilience of Small and Medium-sized Enterprises (SMEs) to disruptive events is significant as this highly prevalent category of business forms the economic backbone in developed countries. This article provides an overview of the application of a computational modelling and simulation approach to evaluate SMEs’ operational resilience to flooding based on combinations of structural and procedural mitigation measures that may be implemented to improve their premises’ resistance to flooding and safeguard their business continuity. The approach integrates flood modelling and simulation with agent-based modelling and simulation (ABMS) within a modelled geographic environment. SMEs are modelled as agents based on findings of semi-structured interviews with SMEs that have experienced flooding or are at risk of flooding. In this paper, the ABMS has been applied to a new case study of the major flood event of 2007 in Tewkesbury. Further, to enable an evaluation of the operational resilience of manufacturing SMEs in terms of the relative effectiveness of flood mitigation measures, a new coefficient based on production loss is introduced. Results indicate structural mitigation measures are more effective than procedural measures. While this result is intuitive, the approach provides a means of evaluating the relative effectiveness of combinations of mitigation measures that SMEs may implement to enhance their operational resilience to flooding.en_GB
dc.description.sponsorshipEngineering and Physical Science Research Council (EPSRC)en_GB
dc.identifier.citationVol 378: 20190210en_GB
dc.identifier.doi10.1098/rsta.2019.0210
dc.identifier.grantnumberEP/K012770/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/121121
dc.language.isoenen_GB
dc.publisherRoyal Societyen_GB
dc.rights© 2020 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.en_GB
dc.subjectsmall and medium-sized enterprisesen_GB
dc.subjectresilienceen_GB
dc.subjectflood modellingen_GB
dc.subjectagent-based modellingen_GB
dc.titleEvaluating the operational resilience of small and medium-sized enterprises to flooding using a computational modelling and simulation approach: a case study of the 2007 flood in Tewkesburyen_GB
dc.typeArticleen_GB
dc.date.available2020-05-21T11:43:47Z
dc.identifier.issn1364-503X
dc.descriptionThis is the final version. Available from the publisher via the DOI in this record.en_GB
dc.descriptionThis article has no additional data available due to it containing confidential information related to SMEs that participated in this research. Also, in agreement with Ordnance Survey regarding MasterMap’s Address Layer, the associated data used in this research is not available.en_GB
dc.identifier.journalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciencesen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-12-09
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-12-09
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-01-07T15:08:45Z
refterms.versionFCDAM
refterms.dateFOA2020-05-21T11:43:50Z
refterms.panelBen_GB
refterms.depositExceptionpublishedGoldOA
refterms.depositExceptionExplanationhttps://doi.org/10.1098/rsta.2019.0210


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© 2020 The Authors.

Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
Except where otherwise noted, this item's licence is described as © 2020 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.