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dc.contributor.authorTayfur, Gökmen
dc.contributor.authorBektaş, Birkan
dc.contributor.authorDuvarcı, Yavuz
dc.date.accessioned2017-06-13T06:27:03Z
dc.date.available2017-06-13T06:27:03Z
dc.date.issued2014-12
dc.identifier.citationTayfur, G., Bektaş, B., and Duvarcı, Y. (2014). Significance of rent attributes in prediction of earthquake damage in Adapazari, Turkey. Neural Network World, 24(6), 637-653. doi:10.14311/NNW.2014.24.036en_US
dc.identifier.issn1210-0552
dc.identifier.urihttps://doi.org/10.14311/NNW.2014.24.036
dc.identifier.urihttp://hdl.handle.net/11147/5745
dc.description.abstractThis paper analyses rent-based determinants of earthquake damage from an urban planning perspective with the data gathered from Adapazari, Turkey, after the disaster in 1999 Eastern Marmara Earthquake (EME). The study employs linear regression, log-linear regression, and artificial neural networks (ANN) methods for cross-verification of results and for finding out the significant urban rent attribute(s) responsible for the damage. All models used are equally capable of predicting the earthquake damage and converge to similar results even if the data are limited. Of the rent variables, the physical density is proved to be especially significant in predicting earthquake damage, while the land value contributes to building resistance. Thus, urban rent can be the primary tool for planners to help reduce the fatalities in preventive planning studies.en_US
dc.language.isoengen_US
dc.publisherInstitute of Computer Scienceen_US
dc.relation.isversionof10.14311/NNW.2014.24.036en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial neural networken_US
dc.subjectEarthquakesen_US
dc.subjectRegression analysisen_US
dc.subjectUrban developmenten_US
dc.subjectUrban renten_US
dc.titleSignificance of rent attributes in prediction of earthquake damage in Adapazari, Turkeyen_US
dc.typearticleen_US
dc.contributor.authorIDTR2054en_US
dc.contributor.authorIDTR117217en_US
dc.contributor.institutionauthorTayfur, Gökmen
dc.contributor.institutionauthorDuvarcı, Yavuz
dc.relation.journalNeural Network Worlden_US
dc.contributor.departmentİYTE, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.identifier.volume24en_US
dc.identifier.issue6en_US
dc.identifier.startpage637en_US
dc.identifier.endpage653en_US
dc.identifier.wosWOS:000348408100005
dc.identifier.scopusSCOPUS:2-s2.0-84920717557
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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