- 영문명
- A Study of the Trade Area Analysis of Jeonju City Using Multivariate Statistics
- 발행기관
- 한국부동산학회
- 저자명
- 박창수(Park Chang Su) 정승영(Jeong Seoung Young)
- 간행물 정보
- 『부동산학보』不動産學報 第26輯, 49~57쪽, 전체 9쪽
- 주제분류
- 경제경영 > 경제학
- 파일형태
- 발행일자
- 2006.05.01
국문 초록
영문 초록
1. CONTENTS
(1) RESEARCH OBJECTIVES
This segmented analysisis of Jeonju city is accomplished by Multivariate Statistics. The purpose of this research is to subdivide Jeonju city into distinctive trade areas shown deposit money and number of companies.
(2) RESEARCH METHOD
Multivariate Statistics
(3) RESEARCH RESULTS
Results of Multivariate Statistics using deposit money and number of companies as variables show 24 trade areas, the study shows that one trade area, Junghwa is quite different from the rest of the trade areas.
2. RESULTS
The analysis shows 24 distinct market areas in Jeonju city that can be classified into 3 groups as follow. first group is Hoseorig Dong (8), second group is Junghwasan Dong (24), third group is Core department (1), Wan san fire station (21), Ajunsri (6), Junbuk university (9), Song Chun (10), Samik swimming pools (22), Pyeonghwat (16), Seon Sin (18), Moraenae market(5), CBD (13), Jeonju station (7), wedding street (14), Jeonju market (19), Terminal (2), Gilin electronic mall (4), Jinbuk (3), Palbuk (11), Seogok (17), Dong San (2), Seobu market (20), .Jeonju hospital (23), Nambu market (15)
Primary enterprises in each group are as follow.
ㆍFirst group : medical clinics and services for the aged
ㆍSecond group : real estate relation businesses
ㆍThird groups : enterprise that accomplish the primary function of the city Consequently, the number of enterprises in a trade area provides the Real Estate professional and understanding of that area. Real Estate professional in Jeonju city can make better investment and development decisions if they have a thorough knowledge of the its unique trade areas and the respective number of businesses.
(1) RESEARCH OBJECTIVES
This segmented analysisis of Jeonju city is accomplished by Multivariate Statistics. The purpose of this research is to subdivide Jeonju city into distinctive trade areas shown deposit money and number of companies.
(2) RESEARCH METHOD
Multivariate Statistics
(3) RESEARCH RESULTS
Results of Multivariate Statistics using deposit money and number of companies as variables show 24 trade areas, the study shows that one trade area, Junghwa is quite different from the rest of the trade areas.
2. RESULTS
The analysis shows 24 distinct market areas in Jeonju city that can be classified into 3 groups as follow. first group is Hoseorig Dong (8), second group is Junghwasan Dong (24), third group is Core department (1), Wan san fire station (21), Ajunsri (6), Junbuk university (9), Song Chun (10), Samik swimming pools (22), Pyeonghwat (16), Seon Sin (18), Moraenae market(5), CBD (13), Jeonju station (7), wedding street (14), Jeonju market (19), Terminal (2), Gilin electronic mall (4), Jinbuk (3), Palbuk (11), Seogok (17), Dong San (2), Seobu market (20), .Jeonju hospital (23), Nambu market (15)
Primary enterprises in each group are as follow.
ㆍFirst group : medical clinics and services for the aged
ㆍSecond group : real estate relation businesses
ㆍThird groups : enterprise that accomplish the primary function of the city Consequently, the number of enterprises in a trade area provides the Real Estate professional and understanding of that area. Real Estate professional in Jeonju city can make better investment and development decisions if they have a thorough knowledge of the its unique trade areas and the respective number of businesses.
목차
ABSTRACT
Ⅰ. 서론
Ⅱ. 전주시 상권의 특성
Ⅲ. 자료
Ⅳ. 유사한 상권별 군락화
Ⅴ. 결론
參考文獻
Ⅰ. 서론
Ⅱ. 전주시 상권의 특성
Ⅲ. 자료
Ⅳ. 유사한 상권별 군락화
Ⅴ. 결론
參考文獻
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