주상복합아파트 가격에 영향을 미치는 개발밀도지표 비교분석

• 영문명: An Comparative Analysis of Development Density Indicators Influencing to Price of Mixed-Use House in Seoul
• 발행기관: 한국부동산학회
• 저자명: 정형철(Chung, Hyung Chul) 송호창(Song, Ho Chang) 오병호(Oh, Byung Ho)
• 간행물 정보: 『부동산학보』不動産學報 第43輯, 253~266쪽, 전체 14쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2010.12.30

영문 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 defferences between those groups, It also applies Z-Score to GIS and Portfolio 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.Sooth 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 nor 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.

목차

I. 서 론

II. 개발밀도의 정의 및 선행연구 검토

III. 기초자료조사 및 기술통계분석

IV. 개발밀도 지표 유형구분 및 검증

V. Portfolio와 GIS를 이용한 권역별 분포 비교

VI. 결론 및 향후 연구과제

<참고문헌>

키워드

주상복합주택 개발밀도 CHAID분석 Z-Score분석 포트폴리오분석 Mixed use-housing Development Density Chi-square Automatic Interaction Detection Z-Score Analysis Portfolio Analysis