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dc.contributor.authorErgonul, S
dc.date.accessioned2025-01-09T20:12:08Z
dc.date.available2025-01-09T20:12:08Z
dc.date.issued2006
dc.identifier.issn1028-6608
dc.identifier.urihttps://doi.org/10.1080/10286600500431888
dc.identifier.urihttps://hdl.handle.net/20.500.14124/8407
dc.description.abstractThe occurrence of an earthquake causes direct and indirect losses in economy. Performance of the built environment can determine both the magnitude of the losses and the speed of recovery from earthquakes. Earthquake losses can be minimized by the use of planning techniques. This paper presents a probabilistic approach for economic evaluation of a shopping center constructed in a seismic zone. Decision-makers can benefit from this approach, before and after an earthquake occurrence, by considering the probability distribution and variability. Life cycle cost concept is taken into account in the formulation of future worth estimation. Therefore, the approach simulates all the benefits and costs, which are prone to variation within Monte Carlo framework. The probabilistic approach can be used to assess the effects of recovery periods.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofCivil Engineering and Environmental Systemsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMonte Carlo simulationen_US
dc.subjectlife cycle cost analysisen_US
dc.subjectearthquake damage costen_US
dc.subjectrecovery costen_US
dc.subjectinvestment projectsen_US
dc.titleA probabilistic approach for economic analysis of a shopping center in seismic zoneen_US
dc.typearticleen_US
dc.departmentMimar Sinan Güzel Sanatlar Üniversitesien_US
dc.identifier.doi10.1080/10286600500431888
dc.identifier.volume23en_US
dc.identifier.issue2en_US
dc.identifier.startpage57en_US
dc.identifier.endpage63en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.wosqualityQ4
dc.identifier.wosWOS:000238059000001
dc.identifier.scopus2-s2.0-33745075297
dc.identifier.scopusqualityQ2
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.snmzKA_20250105


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