인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
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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.
초록·키워드
This research has been started from the notion of the controversial issues, "why was the present method of urban redevelopment, so called clearance redevelopment confronted by the difficulties and are there any other options to substitute for it?" For more than 30 years, clearance redevelopment guided by government authority has taken a few precious assets from us such as old urban fabric, meaningful places, variety of activities and urban vitality as well as many historic relics and traditional buildings under the excuses of acquisition of urban infrastructure and public facilities without paying any public funds. As any other old cities, there are many deteriorated areas in the center of Seoul. Those areas do not have identical problems with western ones. They are treated as neither slum nor squatter in Korea. A lot of people stay there and run small business with comparatively low cost in spite of extremely high land value. But the physical condition of the area cannot support rapidly changing value and accept the high technology. It is required to uplift the land development value and to let the land owner have more income by improving the environment with reasonable rent to keep existing business. It means win-win strategy.This study argues that clearance redevelopment pays high-cost with low efficiency. It has created homogeneous urban environment and lost the urbanity. We have to develop low-cost with high efficiency methods of urban development and keep the urban vitality through creating various environment. The main purpose of this study is to propose a new urban renewal method to accept the complex and various needs. It would be represented as small scale renewal plan for adaptation and rehabilitation by preserving existing urban fabric.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2014-530-003281843
