AHP와 로지스틱 회귀분석을 이용한 공동주택개발사업 참여의사결정 모델 및 영향요인 분석 (Decision Making Model for Apartment Project and Its Factor Analysis using AHP and Logistic Regression Analysis)

서지정보

· 발행기관 : 대한건축학회
· 수록지 정보 : 대한건축학회논문집 구조계 / 32권 / 1호 / 83 ~ 90페이지
· 저자명 : 김기신, 김수용, 김대영, 허영기

초록

Large portion of apartment projects are initiated and conducted by developers together with contractors in Republic of Korea. Contractors therefore surely need to have great knowledge about feasibility analysis in order to make right decision on whether or not participate in a project proposed by a developer. However, few contractors have such skill and insight in reality and make the judgement mainly based on experience and intuition of their top management. A decision making model was developed that can be used easily and practically by contractors. Furthermore 109 real project cases were applied into the model and found that the model could help to make right decision with reliability of as high as 85.3 percent. Using scatter plots and logistic regression analysis, a few drivers affecting the decision were also found, namely, 'project site', 'basic plan', 'economic feasibility', 'salability’. The results will be a great interest for anyone who wants to make right decision with relatively small efforts.

영어초록

Large portion of apartment projects are initiated and conducted by developers together with contractors in Republic of Korea. Contractors therefore surely need to have great knowledge about feasibility analysis in order to make right decision on whether or not participate in a project proposed by a developer. However, few contractors have such skill and insight in reality and make the judgement mainly based on experience and intuition of their top management. A decision making model was developed that can be used easily and practically by contractors. Furthermore 109 real project cases were applied into the model and found that the model could help to make right decision with reliability of as high as 85.3 percent. Using scatter plots and logistic regression analysis, a few drivers affecting the decision were also found, namely, 'project site', 'basic plan', 'economic feasibility', 'salability’. The results will be a great interest for anyone who wants to make right decision with relatively small efforts.

참고자료

· 없음