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
이용규 (제주대학교) 이윤규 (펜실베니아대학교)
저널정보
대한건축학회 대한건축학회 논문집 - 계획계 大韓建築學會論文集 計劃系 第31卷 第10號
발행연도
2015.10
수록면
91 - 98 (8page)

이용수

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

초록· 키워드

오류제보하기
An increase of single and/or two-people households with decrease on typical three or four people households (which was defined as sizes for nuclear family) has led to varieties in family formations and lifestyles. It is not just a reduction on number of family members but generates several issues. Apartment, which has been the typical contemporary housing type in Korea, have a difficulty to satisfy emerging demands of various residents, due to standardized unit plans and mass supplies. Based on remodeling cycles of apartments, it becomes a time period that requires a significant number of remodeling on degraded apartments. Recently, as an alternative, development of urban small housing has been encouraged in national level as a solution to meet increasing needs of small housings and increasing needs for improving living environments in degraded residential areas. Years of consistent massive volume of housing supply policies, which was to ease the housing problem by quantitative way, was pointed out to be a leading problem of providing poor living environment. Therefore, it is necessary to develop an architectural planning guideline for degraded apartment remodeling that able to accommodate need of residents with variety of lifestyles and ensure better residential environment. In this paper, we first determine the changes in life styles of residents and public housings through the statistical data analysis then investigate architectural planning method for apartment remodeling in terms of low-fertility and aging population.

목차

Abstract
1. 서론
2. 저출산 고령화 사회에 대응하는 주거계획
3. 저출산 고령화 사회에 대응하는 공간연결 모델
4. 노후공동주택의 수용능력 분석
5. 최소 공간연결 모델에 의한 시뮬레이션
6. 결론
REFERENCES

참고문헌 (14)

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-0101-2016-540-002082004