Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1838
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dc.contributor.authorKuğu Baş, Hanzade-
dc.contributor.authorZeren Gülersoy, Nuran-
dc.date.accessioned2022-02-26T20:51:07Z-
dc.date.available2022-02-26T20:51:07Z-
dc.date.issued2018-
dc.identifier.issn2147-9380-
dc.identifier.urihttps://doi.org/10.15320/ICONARP.2018.36-
dc.identifier.urihttps://iconarp.ktun.edu.tr/index.php/iconarp/article/view/203-
dc.identifier.urihttps://iconarp.ktun.edu.tr/index.php/iconarp/article/view/203/153-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/1838-
dc.descriptioniconarpID: 203en_US
dc.descriptioniconarp:ARTen_US
dc.description.abstractInternational quick service restaurants (QSRs) have become a stand-alone sector due to their significant market share throughout the world instead of being considered under the food and beverage sector. The success of QSR site selection is directly related to land use and market potential estimation. This relationship has a significant influence on urban texture, identity and cities' development processes, given the high number of QSRs in urban spaces. Diverging from the current retail sector dynamics, the QSR sector brings to the table different needs in terms of trade area characteristics and spatial characteristics. In this respect, the aim of this research is to conduct an analysis on the site selection decisions of international QSRs and to establish a conceptual framework for an applicable model. Accordingly, first, the relationship between trade area analysis and site selection of international QSRs is examined. After that, trade area models of The Proximal Area Model, Reilly's Law of Retail Gravitation Model, Central Place Theory, Huff Model, Analog Model and Geographic Interdependence Model are discussed according to their competence of QSRs’ site selection. Then they are analytically evaluated within the framework of today's economic, social and spatial development variables. Finally, Regression Analysis Methods and Geographical Information Systems (GIS), which are encountered in literature and used in practice are examined, and a new theoretical framework for a site selection model integrating Regression Analysis Methods and GIS is proposed.en_US
dc.language.isoenen_US
dc.publisherKonya Technical University Faculty of Architecture and Designen_US
dc.relation.ispartofICONARP International Journal of Architecture and Planningen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectTrade Area Modelsen_US
dc.subjectSite Selectionen_US
dc.subjectQuick Service Restaurantsen_US
dc.subjectFood & Beverages Industry.en_US
dc.subjectSite Selectionen_US
dc.titleThe Evaluation of Trade Area Models and Analysis Methods for Site Selection from International Quick Service Restaurants’ Perspectiveen_US
dc.typeArticleen_US
dc.identifier.doi10.15320/ICONARP.2018.36-
dc.departmentKTÜNen_US
dc.identifier.volume6en_US
dc.identifier.issue1en_US
dc.identifier.startpage1en_US
dc.identifier.endpage28en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıen_US
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:ICONARP - International Journal of Architecture and Planning
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