Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1651
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dc.contributor.authorPirbudak, H.E.-
dc.contributor.authorYalpır, A.-
dc.contributor.authorAkar, Ali Utku-
dc.date.accessioned2022-01-30T17:32:51Z-
dc.date.available2022-01-30T17:32:51Z-
dc.date.issued2021-
dc.identifier.issn16821750-
dc.identifier.urihttps://doi.org/10.5194/isprs-Archives-XLVI-4-W5-2021-431-2021-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/1651-
dc.description6th International Conference on Smart City Applications -- 27 October 2021 through 29 October 2021 -- -- 175815en_US
dc.description.abstract<p>Due to the industrialization in the cities, land needs have appeared in the increasing urban population. These needs have created houses with the accumulate of collective living spaces in the city. It is necessary to determine the supply-demand relationship and value of these real estates with economic importance for smart urban management systems and decision support systems in the market. The value of real estate varies according to the country in which it is located, but in general, it is affected by many factors such as spatial attributes, demographic factors, building factors, economic conditions. Depending on these factors, values and purchase-sale densities of housing also change.</p><p>In this study, for prediction of housing purchase-sale density, hedonic modeling was realized with 15 features from urban change factors. Urban change factors that affect the purchase/sale of housing such as land use, demographic factors, population density and structural factors have been examined through Geographic Information System (GIS). The hedonic regression method was used for predicting the density of housing purchase/sale. As a result of the modeling, it was found as R2?Combining double low line?0,85.</p> © Author(s) 2021. CC BY 4.0 License.en_US
dc.language.isoenen_US
dc.publisherInternational Society for Photogrammetry and Remote Sensingen_US
dc.relation.ispartofInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGeographic Information Systemsen_US
dc.subjectHedonic Methoden_US
dc.subjectHousing Purchase/Sale Densityen_US
dc.subjectReal Estate Value Modellingen_US
dc.subjectUrban Change Factors.en_US
dc.subjectArtificial intelligenceen_US
dc.subjectDecision support systemsen_US
dc.subjectHousingen_US
dc.subjectInformation systemsen_US
dc.subjectInformation useen_US
dc.subjectLand useen_US
dc.subjectPopulation statisticsen_US
dc.subjectRegression analysisen_US
dc.subjectSalesen_US
dc.subjectDemographic factorsen_US
dc.subjectHedonic methoden_US
dc.subjectHousing purchase/sale densityen_US
dc.subjectIndustrialisationen_US
dc.subjectReal estate value modelingen_US
dc.subjectReal-estatesen_US
dc.subjectUrban change factor.en_US
dc.subjectUrban changesen_US
dc.subjectUrban populationen_US
dc.subjectValue modelen_US
dc.subjectGeographic information systemsen_US
dc.titleHEDONIC MODELING of HOUSING PURCHASE/SALE DENSITY with URBAN CHANGE FACTORSen_US
dc.typeConference Objecten_US
dc.identifier.doi10.5194/isprs-Archives-XLVI-4-W5-2021-431-2021-
dc.identifier.scopus2-s2.0-85122312101en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Harita Mühendisliği Bölümüen_US
dc.identifier.volume46en_US
dc.identifier.issue4/W5-2021en_US
dc.identifier.startpage431en_US
dc.identifier.endpage435en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid57397243800-
dc.authorscopusid57397617900-
dc.authorscopusid57223843018-
dc.identifier.scopusquality--
item.openairetypeConference Object-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept02.08. Department of Geomatic Engineering-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
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