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dc.contributor.authorTorres Ortega, Saul
dc.contributor.authorHanley, Nicholas David
dc.contributor.authorDiaz Simal, Pedro
dc.date.accessioned2015-01-05T11:31:03Z
dc.date.available2015-01-05T11:31:03Z
dc.date.issued2014-11
dc.identifier161189679
dc.identifiere731c027-245b-4f67-8b1a-f299e66e2477
dc.identifier000345564700025
dc.identifier84920735687
dc.identifier000345564700025
dc.identifier.citationTorres Ortega , S , Hanley , N D & Diaz Simal , P 2014 , ' A proposed methodology for prioritizing project effects to include in cost-benefit analysis using resilience, vulnerability and risk perception ' , Sustainability , vol. 6 , no. 11 , pp. 7945-7966 . https://doi.org/10.3390/su6117945en
dc.identifier.issn2071-1050
dc.identifier.urihttps://hdl.handle.net/10023/5964
dc.description.abstractCost-benefit analysis (CBA) has emerged as one of the most widely used methodologies in environmental policy analysis, with many governments applying it in their decision-making procedures and laws. However, undertaking a full CBA is expensive, and conclusions must be drawn on which project or policy impacts to include in the analysis. Based on the ideas of resilience, vulnerability and risk, we suggest a method for prioritizing project impacts for inclusion in a CBA, which includes both expert assessment and citizen preferences. We then illustrate how the method can be applied in the context of land use change decisions, using a real application.
dc.format.extent22
dc.format.extent1265428
dc.language.isoeng
dc.relation.ispartofSustainabilityen
dc.subjectCost-benefit analysisen
dc.subjectRankingen
dc.subjectImpact analysisen
dc.subjectResilienceen
dc.subjectVulnerabilityen
dc.subjectRisken
dc.subjectClimate-changeen
dc.subjectManagementen
dc.subjectSystemsen
dc.subjectCriteriaen
dc.subjectG Geography (General)en
dc.subjectSDG 13 - Climate Actionen
dc.subjectSDG 15 - Life on Landen
dc.subject.lccG1en
dc.titleA proposed methodology for prioritizing project effects to include in cost-benefit analysis using resilience, vulnerability and risk perceptionen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Geography & Sustainable Developmenten
dc.identifier.doi10.3390/su6117945
dc.description.statusPeer revieweden


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