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상가분양가의 군집분석을 이용한 시장세분화에 관한 연구- 서울지역을 중심으로-

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dc.contributor.author김철호-
dc.contributor.author정승영-
dc.date.accessioned2021-10-27T04:40:36Z-
dc.date.available2021-10-27T04:40:36Z-
dc.date.issued2006-12-
dc.identifier.issn1598-4567-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/56759-
dc.description.abstract1. CONTENTS(1) RESEARCH OBJECTIVESThe segmentation of retail market is accomplished by Cluster analysis. The purpose of the research is to identify the market segments with sale prices of retail properties.(2) RESEARCH METHODCluster analysis(3) RESEARCH RESULTSThe results of the cluster analysis using sale prices of retail properties data for 25 districts show that Gangnam-Gu belongs to the level of high sale prices in the aptment stores and complex stores. also, Chongno-Gu is quite distinguished from the rest of the districts in theme stores. 2. RESULTS In this research, we try to divide the retail markets in Seoul according to the sales prices per pyeong using cluster analysis. For the complex store sales prices, Seocho-gu, Gangdong-gu, Seodaemun-gu and Jongno-gu are in the high price level group. For the theme store sales prices, only Jung-gu is in the high price level group. For the apartment store sales prices, Gangnam-gu, and Gangseo-gu are in the high price level group.-
dc.format.extent11-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국부동산학회-
dc.title상가분양가의 군집분석을 이용한 시장세분화에 관한 연구- 서울지역을 중심으로--
dc.title.alternativeA Study on a Segmentation of Retail Market with Sale Prices of Retail Properties Data using Cluster analysis- Focused on Seoul Area --
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation부동산학보, no.28, pp 122 - 132-
dc.citation.title부동산학보-
dc.citation.number28-
dc.citation.startPage122-
dc.citation.endPage132-
dc.identifier.kciidART001031636-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorsales prices of retail properties-
dc.subject.keywordAuthorcluster analysis-
dc.subject.keywordAuthorsales prices of retail properties-
dc.subject.keywordAuthorcluster analysis-
dc.identifier.urlhttps://kiss.kstudy.com/thesis/thesis-view.asp?key=3653729-
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