서울시 장애인 유형별 주택 및 주거환경 만족에 영향을 미치는 요인 규명

• 영문명: An Analysis of Factors Affecting the Housing and Housing Environment Satisfaction of the People with Disabilities of Seoul: Focusing on the comparison analysis between the physically disabled and the mentally disabled
• 발행기관: 한국부동산정책학회
• 저자명: 송호창(Song, Ho-Chang) 황규홍(Hwang, Gyu-Hong)
• 간행물 정보: 『부동산정책연구』제19집 제3호, 39~59쪽, 전체 21쪽
• 주제분류: 사회과학 > 정책학
• 파일형태: PDF
• 발행일자: 2018.12.20

영문 초록

The purpose of this study was to investigate the factors influencing the satisfaction of residential housing and residential environment of the Seoul by type (physically disabled, mentally disabled). For this purpose, 862 persons with disabilities were extracted in data of 2015 Survey on Housing Status of the Disabled which has public confidence in Ministry of Land, Infrastructure and transport. Stewise method was adopted as a method of analysis for multiple regression analysis, and a regression model that affects the residential housing and residential satisfaction of each type of the disabled was developed and analyzed. As a result, it was found that the structure in house of the physically handicapped person is 0.258 and the ventilation condition of the mental handicapped person is 0.241. This means that the factors affecting the satisfaction of the residential housing differ according to the type of the disabled people. The most important factor affecting the satisfaction of residential environment is the overall satisfaction of residential housing in the physical and mental disabilities. As a result, it was found that there are common factors in the residential housing and the living environment satisfaction of the phsically disabled and the mentally handicapped, but there are different parts Therefore, in order to improve the residential environment of people with disabilities in Seoul, it is necessary to differentiate them according to the type of disabled people.

목차

Ⅰ. 서론

Ⅱ. 이론적 고찰 및 선행연구 검토

Ⅲ. 자료수집 및 기초통계분석

Ⅳ. 영향요인 규명

Ⅴ. 결론

참고문헌

키워드

Survey on Housing Status of the Disabled Housing Satisfaction Satisfaction with Residential Environment Multiple Regression Analysis