주상복합아파트 가격에 영향을 미치는 개발밀도지표 비교분석 (An Comparative Analysis of Development Density Indicators Influencing to Price of Mixed-Use House in Seoul)

서지정보

· 발행기관 : 한국부동산학회
· 수록지 정보 : 부동산학보 / 43호 / 253 ~ 266페이지
· 저자명 : 정형철, 송호창, 오병호

초록

1. CONTENTS (1) RESEARCH OBJECTIVES This study analyzes qualitative development density and quantitative development density in terms of an object and an indicator in order to examine development density which is researched as for general multi-house complex.
(2) RESEARCH METHOD The 228 searched data for Mixed use-housing are obtained throughout 1995 to 2008 in Seoul. This study utilizes CHAID(Chi-square Automatic Interaction Detection) Analysis to divide into several groups and utilizes t-test to verify differences between those groups. It also applies Z-Score to GIS and Polifolio analysis to identify geographical characteristics, housing scale, and complex scale.
(3) RESEARCH FINDINGS Seoul is categorized by two groups, which are CBD․South East and North East․North West․South West, and proved to be different in average housing price.
2. RESULTS The results show that: first, the criteria of using development density should be changed based on the fact that qualitative density(households density) is appeared to be significant and quantitative density(floor area ratio, building coverage ratio) is not appeared to be. Second, housing price should be considered respectively in various groups. Third, policy on Mixed-Use house should be applied by divisions because high land price and commercial area are concentrated on CBD and South East division.

영어초록

1. CONTENTS (1) RESEARCH OBJECTIVES This study analyzes qualitative development density and quantitative development density in terms of an object and an indicator in order to examine development density which is researched as for general multi-house complex.
(2) RESEARCH METHOD The 228 searched data for Mixed use-housing are obtained throughout 1995 to 2008 in Seoul. This study utilizes CHAID(Chi-square Automatic Interaction Detection) Analysis to divide into several groups and utilizes t-test to verify differences between those groups. It also applies Z-Score to GIS and Polifolio analysis to identify geographical characteristics, housing scale, and complex scale.
(3) RESEARCH FINDINGS Seoul is categorized by two groups, which are CBD․South East and North East․North West․South West, and proved to be different in average housing price.
2. RESULTS The results show that: first, the criteria of using development density should be changed based on the fact that qualitative density(households density) is appeared to be significant and quantitative density(floor area ratio, building coverage ratio) is not appeared to be. Second, housing price should be considered respectively in various groups. Third, policy on Mixed-Use house should be applied by divisions because high land price and commercial area are concentrated on CBD and South East division.

참고자료

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