의사결정나무모형을 이용한 노년기 주거유형선택 예측에 관한 연구

• 영문명: A Study on the Housing Types Selection Expectation in Senescence Using a Decision Tree - Focus on the Baby Boom Generation in Pusan -
• 발행기관: 한국주거환경학회
• 저자명: 최상일(Choi, Sang-Il) 박태진(Park, Tae-Jin) 강정규(Kang, Jeong-Gyu)
• 간행물 정보: 『주거환경(한국주거환경학회논문집)』住居環境 제9권 제2호 (통권 제16호), 235~251쪽, 전체 17쪽
• 주제분류: 사회과학 > 지역개발
• 파일형태: PDF
• 발행일자: 2011.12.31

영문 초록

Nowaday, the domestic housing market environment is changing with economic, social, culture environment change. The main reason of the housing market change is that buyer’s demands that is effected by buyer’s awareness change, population composition change, and income increase is more and more diversify. Especially about 10 years later, when the baby boom generation, the huge population group would arrive at senescence, It could be expected the housing environment change is more dramatic. Because, baby boom generation is very different social/economic position, retirement preparation, values of house with other generations. This study would analyze the baby boom generation’s housing selection trend in their senescence to show needs for this study. It should draw expectation model about house type and house size selection based on Extracting influence factors of housing selection for each variable. Result of this analysis, most of baby boom generation resided apartment house (apartment 68.4%, tenement house 12.2%, total 80.6%), also they will select various house style in their senescence (rural house 37.2%, tenement house 27.0%, second house 15.7%, detached house 12.8%) Abstract the house type selection expectation model, the most influenced factor is preparation for their retirement savings. Followed by current job, residential outlook of investment in senescence, house type at present, and thought about living with married children.

목차

Abstract

Ⅰ. 서론

Ⅱ. 이론적 배경

Ⅲ. 노년기 생활인식 및 주거유형 선택 변화 전망

Ⅳ. 노년기 주거유형 선택에 미치는 영향요인

Ⅴ. 노년기 주거유형 선택 예측모형

Ⅵ. 결론

참고문헌

키워드

베이비붐세대 주거유형선택 예측모형 의사결정나무 Baby Boom Generation Hoising Types Choice Prediction Model Decision tree