Show simple item record

dc.contributor.authorLantada, Nieves
dc.contributor.authorCarreño Tibaduiza, Martha Liliana
dc.contributor.authorJaramillo, Nayive
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.date.accessioned2020-01-07T13:04:55Z
dc.date.issued2020-01
dc.identifier.citationLantada, N.; Carreño, M.L.; Jaramillo, N. Disaster risk reduction: a decision-making support tool based on the morphological analysis. "International journal of disaster risk reduction", Gener 2020, vol. 42, p. 101342:1-101342:17.
dc.identifier.issn2212-4209
dc.identifier.urihttp://hdl.handle.net/2117/174300
dc.description.abstractRisk management due to natural hazards is a multidimensional and complex problem since it requires the knowledge and experience of several disciplines. The effectiveness of risk management can be analyzed, inviting to the action through weakness identification of the urban area. This article proposes a methodology based on the morphological analysis to support the decision-making on disaster risk management, taking as a starting point the results of a holistic evaluation of the seismic risk. The results of the holistic evaluation of risk are achieved aggravating the physical risk using the contextual conditions, such as the socio-economic fragility and the lack of resilience. In consequence, the risk mitigation can be performed through the reduction of the potential damage and consequences involved; and the improvement of social conditions. The proposed methodology allows prioritizing the risk reduction strategies according to i) performance level of component indicators involved into the Disaster Risk Management index, DRMi; ii) physical risk factors dependent from the potential damages, and iii) aggravating factors involved in the aggravating coefficient. Moreover, it involves 35 strategies to reduce the physical risk and the aggravating social conditions of the urban area. The proposed methodology has been applied to the city of Mérida (Venezuela), located within an area of high seismic activity. The performance level of the indicators involved in the DRMi was evaluated by a survey to local experts. As a result, eleven strategies have been identified to reduce the potential damage and to improve the social conditions of this city.
dc.language.isoeng
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights© 2019. Elsevier
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.uriAttribution-NonCommercial-NoDerivatives 4.0 International
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Geologia::Riscos geològics
dc.subject.lcshHazard mitigation
dc.subject.otherMorphological analysis
dc.subject.otherDisaster Risk Management
dc.subject.otherDecision-making support tool
dc.subject.otherRisk reduction
dc.subject.otherDRM strategies
dc.titleDisaster risk reduction: a decision-making support tool based on the morphological analysis
dc.typeArticle
dc.subject.lemacAvaluació del risc
dc.contributor.groupUniversitat Politècnica de Catalunya. EGEO - Enginyeria Geomàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. RMEE - Grup de Resistència de Materials i Estructures en l'Enginyeria
dc.identifier.doi10.1016/j.ijdrr.2019.101342
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S221242091930559X
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac25869335
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/2PE/BIA2016-78544-R
dc.date.lift2021-09-30
local.citation.authorLantada, N.; Carreño, M.L.; Jaramillo, N.
local.citation.publicationNameInternational journal of disaster risk reduction
local.citation.volume42
local.citation.startingPage101342:1
local.citation.endingPage101342:17


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain