인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.6
- 수록면
- 12 - 21 (10page)
- DOI
- 10.14774/JKIID.2022.31.3.012
이용수
초록· 키워드
As the baby boomer generation reaches age 65, older adults increasingly prefer to live in urban areas. Community spaces in senior housing are becoming important to support active aging, and they are likely to become a neighborhood amenity, helping to increase the social participation of older residents and activate the local community. Therefore, the aim of this study is to analyze the distribution of facilities in the neighborhood according to the temporal patterns of the elderly based on the Bigdata of the de facto population in order to propose efficient community spaces. The analysis was conducted in two main steps: 1) K-means clustering to classify the types of elderly time series patterns, 2) One-way ANOVA, to analyze the distribution of facilities in the neighborhood according to the types of time series patterns. The result was that the de facto population of elderly people was classified into 5 types according to time and region, and the characteristics of the distribution of facilities were different for each type. Therefore, it is necessary to provide housing for the elderly that reduces housing costs and integrates with the local community by considering the different characteristics of the elderly and the resources of the local community.
#고령자 주택
#근린생활공간
#근린생활시설
#생활인구 데이터
#Elderly housing
#Community spaces
#Neighborhood amenities
#De facto population
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목차
- Abstract
- 1. 서론
- 2. 고령자 주택과 고령친화 근린생활시설
- 3. 생활인구 데이터
- 4. 고령자 활동패턴 유형별 근린생활시설 분포 분석
- 5. 요약 및 결론
- 참고문헌
참고문헌
참고문헌 신청최근 본 자료
UCI(KEPA) : I410-ECN-0101-2022-619-001518508