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

논문 기본 정보

자료유형
학술저널
저자정보
박현주 (한국환경정책.평가연구원) 이진희 (인천대학교 도시행정학과) 김현우 (인천대학교 도시과학대학 도시행정학과)
저널정보
인천대학교 도시과학연구원 도시과학 도시과학 제8권 제1호
발행연도
2019.1
수록면
15 - 23 (9page)

이용수

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

초록· 키워드

오류제보하기
The goal of this study is to examine municipality comprehensive plans by recognizing the problem that adverse impacts of urban regeneration impede the sustainability of specific renewal project. 10 major cities in Korea that are experiencing urban decline were chosen for the study area and plan evaluation indexes were adopted based on the sustainable urban regeneration principles in terms of environmental, social, and economic aspects. Plan evaluation was conducted by employing the content analysis method and developed assessment indexes for three sectors (factual basis, goal/objective, and policy/action) of plan. The findings show that policies, such as 'expansion of parks in urban area,' 'pedestrian-oriented street improvement project,' and 'countermeasures for local industry revitalization,' should be fundamentally included in adopting sustainable urban regeneration plans. Plan scores regarding sustainable urban regeneration had an insignificant relationship with the status of administrative district and plan adopted year. This is because metropolitan municipalities, including Ulsan, Daejeon, and Daegu, received relatively low plan score compared to local governments like Goyang and Suwon. Also, Daegu and Suwon, which established their comprehensive plan in 2018 obtained lower score than Seoul and Incheon, where its plans were created before 2015. Evaluation protocol and indexes that were suggested in this study can be used while reorganizing each locality's comprehensive plan, and thus, play as one of major bases in preparing future sustainable urban regeneration projects.

목차

등록된 정보가 없습니다.

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

최근 본 자료

전체보기

댓글(0)

0