상가임대료의 군집분석을 이용한 시장세분화에 관한 연구 - 서울지역을 중심으로 - = A Study on a Segmentation Retail Market in Seoul Using Cluster Analysis with Retail Rent Data - Focused on Seoul Area -

다국어 초록 (Multilingual Abstract)

1. CONTENTS
(1) RESEARCH OBJECTIVES
This segmentation is accomplished via cluster analysis. The purpose of the research is to identify market segments with retail rent .
(2) RESEARCH METHOD
cluster analysis
(3) RESEARCH RESULTS
Results of cluster analysis using retail rent(deposit, month rent) variables available for 25 districts show that districts Seocho, Gangnam and Chongno, Yongsan-gu are quite distinguished from the rest of the city.
2. RESULTS
The research which it sees used the cluster analysis of the rent and it divided the Seoul area. The result, first, it did retail deposit level in standard and it came to be divided into 3 group. it is high Group (Jongno-gu, Gangnam-gu), middle group (Jung-gu, Mapo-gu, Seocho-gu, Yangcheon-gu, Seodaemun-gu, Eunpyeong-gu, Dongdeamu-gu, Dongjak-gu, Yeongdeungpo-gu, Gwanak-gu, Nowon-gu, Gangso-gu), low group (Seongdong-gu, Guro-gu, Gwangjin-gu, Songpa-gu, Jungnang-gu, Gangbuk-gu, Seongbuk-gu, Geumcheon-gu, Gangdong-gu, Dobong-gu)
second, with the standard of retail month rent, it divided the Seoul area into 3 group. high Group (Jongno-gu, Gangnam-gu, Seocho-gu), middle group (Jung-gu, Seodaemun-gu, Yeongdeungpo-gu, Gwangjin-gu, Dongdeamu-gu, Dongjak-gu, Yangcheon-gu, Gangso-gu, Nowon-gu, Eunpyeong-gu, Mapo-gu, Songpa-gu), low-end group(Seongdong-gu, Guro-gu, Jungnang-gu, Geumcheon-gu, Gangdong-gu, Gangbuk-gu, Seongbuk-gu, Dobong-gu, Gwangjin-gu).
3. KEY WORDS
retail rents, cluster analysis

목차 (Table of Contents)

• ABSTRACT
• Ⅰ. 서론
• Ⅱ. 자료
• Ⅲ. 분석결과
• Ⅳ. 결론
• 參考文獻

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