Analyzing Customers' Demands for Different Housing Features in Buildings Using a Data Mining Method

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dc.authoridKeles, Abdullah Emre/0000-0002-5472-2450
dc.contributor.authorKeles, Abdullah Emre
dc.contributor.authorArikan, Yusuf Can
dc.date.accessioned2025-01-06T17:36:46Z
dc.date.available2025-01-06T17:36:46Z
dc.date.issued2023
dc.description.abstractThere are many options and factors in the production phase of housing. In the marketing phase, houses are presented to the customer's taste. Therefore, it is clear that a customer-oriented approach is necessary to establish a supply-demand balance in housing production on the basis of quality. This study aimed to determine customers' housing demands in the construction sector. Within the scope of the study, 303 surveys were conducted in 30 different provinces of Turkey. The data obtained were analyzed by WEKA software with association rule extraction as the data mining method. The distribution of other attributes was determined according to two different class labels, namely the ownership status of the houses (tenant or homeowner) and customers' expectations of the houses. As a result of the study, it is clear that people living in Turkey prefer a south-facing facade when purchasing a house. In addition, it is seen that the property owners demand 4 + 1 independent units. It is remarkable that individuals who are tenants want the living room to be spacious. The results of the study also revealed that female individuals have higher expectations of housing than male individuals. At the same time, it is understood that people's expectations of housing differ according to the variables of age, education level, and the number of family members. The majority of the results in this study had a confidence value of 90% and above. This study was intended to serve as a guide for housing developers in Turkey to better understand and meet the demands of buildings' residents.
dc.identifier.doi10.3390/buildings13020555
dc.identifier.issn2075-5309
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85149248078
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/buildings13020555
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1996
dc.identifier.volume13
dc.identifier.wosWOS:000944887000001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofBuildings
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectbuildings
dc.subjectcustomers' housing demands
dc.subjectdata mining
dc.subjectWEKA
dc.titleAnalyzing Customers' Demands for Different Housing Features in Buildings Using a Data Mining Method
dc.typeArticle

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