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dc.contributor.advisorSanta Cruz, Sandra Cecilia
dc.contributor.advisorLaterza, Michelangelo
dc.contributor.advisorTarque, Nicola
dc.contributor.advisorVona, Marco
dc.contributor.authorAnelli, Angelo
dc.date.accessioned2019-02-25T17:03:16Z
dc.date.available2019-02-25T17:03:16Z
dc.date.created2018
dc.date.issued2019-02-25
dc.identifier.urihttp://hdl.handle.net/20.500.12404/13545
dc.description.abstractNowadays retrofitting strategies are a typical problem of public administrations. Due to the amount of essential and/or historic buildings that require seismic retrofitting and the restricted economic availability, it is necessary to prioritize interventions on a large territorial scale in order to optimize the allocation of available economic resources, provide transparent guidelines, and identify the best solution with an integrated view of the problem. In this thesis work, a prioritization methodology for seismic risk reduction in public schools is developed. The suggested methodology is based on the community resilience concept, Multi-Criteria Decision-Making (MCDM) methods, and Geographic Information Systems (GIS). It allows to define a proactive and resilient seismic risk mitigation strategy with a geographical, multidisciplinary, and multidimensional perspective. In order to illustrate the proposed methodology, prioritization strategies of retrofit interventions for 1825 public schools in the Lima Metropolitan Area are analyzed. The resilience of the communities has played a key role in the definition of the seismic risk mitigation policies. Three perceptions are identified to use the resilience concept in the present thesis work: seismic risk, emergency management, integration and social cohesion. They represent groups of interwoven technical, organizational, social, and economic dimensions. Based on these aspects, quantitative and qualitative prioritization criteria are selected and analyzed separately using GIS tools in order to model the schools seismic risk components and quantify the spatial and territorial relationships between schools and their surroundings. Through the assignment of criteria weights, numerous political scenarios are defined to perform predictive analysis that consider the possible uncertainties involved in planning and to enrich the decision-making process with more useful information. In order to compare them and identify the most optimal political scenario, a cost-benefit index and an innovative resilience indicator are determined for each one. A new and transparent framework is developed to help decision makers in selecting the political strategies, the relative prioritizations of interventions, and their intervention options in the pre- disaster and post-disaster phases. It provides a simplified methodology with solid technical and scientific bases that aims to optimize community resilience using a multidimensional and xviii spatiotemporal measurement. Decision makers and engineering professionals could use it as a decision support in the prevention and management of various natural and artificial threats.es_ES
dc.description.uriTesises_ES
dc.language.isoeng
dc.publisherPontificia Universidad Católica del Perúes_ES
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.sourcePontificia Universidad Católica del Perúes_ES
dc.sourceRepositorio de Tesis - PUCPes_ES
dc.subjectConstrucciones antisísmicas--Evaluaciónes_ES
dc.subjectConstrucciones escolares--Construcciones antisísmicases_ES
dc.subjectAnálisis estructural (Ingeniería)es_ES
dc.subjectIngeniería antisísmicaes_ES
dc.titleAn optimal seismic risk mitigation of public school buildings in Lima through the community resilience concept and the application of MCDM methods and GIS tools
dc.typeinfo:eu-repo/semantics/doctoralThesis
thesis.degree.nameDoctor en Ingenieríaes_ES
thesis.degree.levelDoctoradoes_ES
thesis.degree.grantorPontificia Universidad Católica del Perú. Escuela de Posgradoes_ES
thesis.degree.disciplineIngenieríaes_ES
dc.type.otherTesis de doctorado
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.01.01es_ES
dc.publisher.countryPE
renati.discipline732028es_ES
renati.levelhttps://purl.org/pe-repo/renati/level#doctores_ES
renati.typehttp://purl.org/pe-repo/renati/type#tesises_ES


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