메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
오정석 (서울주택도시공사) 이성원 (서울주택도시공사)
저널정보
한국주거환경학회 주거환경 住居環境 통권 제16권 제4호 (통권 제42호)
발행연도
2018.12
수록면
243 - 256 (14page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
The purpose of this study is to find the difference between the overall, internal and external housing environment satisfaction, accessibility, convenience and social relation for resident between rental-only housing complex and tenure mixed housing complex and its types. The types of complexes include; (1)rental-only housing complex, (2)tenure mixed housing complex which rental and sale are located in the same building, (3)tenure mixed housing complex but rental and sale are not located in the same building.
Statistical analysis was done using SPSS 22.0 statistical package. Statistical techniques were Mann Whitney and Kruskal Wallis analysis for frequency analysis, validity and reliability of the respondents" general characteristics.
The results of the study show that there is a significant difference in the overall residential satisfaction of the residents of the tenure mixed complex and the non-mixed complex.
In addition, the highest satisfaction was obtained for (2)tenure mixed housing complex which rental and sale are located in the same building, followed by (3)tenure mixed housing complex but rental and sale are not located in the same building and (1)rental-only housing complex. This suggests that tenure mixed housing is solving the problems caused by the social exclusion phenomenon and the spatial separation of the residential areas with different income levels.
Meanwhile, it seems that public efforts will be needed for the satisfaction of the accessibility and convenience, and the social environment for residents of the tenure mixed complex.

목차

Abstract
Ⅰ. 서론
Ⅱ. 이론적 논의
Ⅲ. 연구방법
Ⅳ. 연구결과
Ⅴ. 결론 및 시사점
참고문헌

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2019-595-000322700