Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/170323
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHerrero-Hidalga, Maria-
dc.contributor.authorMartínez-Gomariz, Eduardo-
dc.contributor.authorEvans, Barry-
dc.contributor.authorWebber, James-
dc.contributor.authorTermes, Montserrat-
dc.contributor.authorRusso, Beniamino-
dc.contributor.authorLocatelli, Luca-
dc.date.accessioned2020-09-08T11:56:05Z-
dc.date.available2020-09-08T11:56:05Z-
dc.date.issued2020-06-
dc.identifier.issn2071-1050-
dc.identifier.urihttp://hdl.handle.net/2445/170323-
dc.description.abstractIn the current context of fast innovation in the field of urban resilience against extreme weather events, it is becoming more challenging for decision-makers to recognize the most beneficial adaptation measures for their cities. Detailed assessment of multiple measures is resource-consuming and requires specific expertise, which is not always available. To tackle these issues, in the context of the H2020 project RESCCUE (RESilience to cope with Climate Change in Urban arEas), a methodology to effectively prioritize adaptation measures against extreme rainfall-related hazards in urban areas has been developed. It follows a multi-phase structure to progressively narrow down the list of potential measures. It begins using less resource-intensive techniques, to finally focus on the in-depth analysis on a narrower selection of measures. It involves evaluation of risks, costs, and welfare impacts, with strong focus on stakeholders' participation through the entire process. The methodology is adaptable to different contexts and objectives and has been tested in two case studies across Europe, namely Barcelona and Bristo-
dc.format.extent25 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherMDPI-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3390/su12124807-
dc.relation.ispartofSustainability, 2020, vol. 12, num. 4807, p. 01-25-
dc.relation.urihttps://doi.org/10.3390/su12124807-
dc.rightscc-by (c) Herrero-Hidalga, Maria et al., 2020-
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es-
dc.sourceArticles publicats en revistes (Econometria, Estadística i Economia Aplicada)-
dc.subject.classificationCanvi climàtic-
dc.subject.classificationGestió del risc-
dc.subject.classificationAvaluació-
dc.subject.classificationSociologia-
dc.subject.otherClimatic change-
dc.subject.otherRisk management-
dc.subject.otherEvaluation-
dc.subject.otherSociology-
dc.titleMethodology to Prioritize Climate Adaptation Measures in Urban Areas. Barcelona and Bristol Case Studies-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec703166-
dc.date.updated2020-09-08T11:56:05Z-
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/700174/EU//RESCCUE-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

Files in This Item:
File Description SizeFormat 
703166.pdf1.63 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons