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
조세환 (경주대학교 관광조경학과) 오휘영 (한양대학교 환경과학대학원)
저널정보
한국조경학회 한국조경학회지 한국조경학회지 제21권 제2호
발행연도
1993.1
수록면
34 - 49 (16page)

이용수

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

초록· 키워드

오류제보하기
This research aimed to analize the cognitive intensity of valuation(C.I.V) on urban environment as a first stage of the works on evaluative urban image under the hypothesis that it could be interpreted with a correlation analysis between the C.I.V and attitude(Satisfaction of unsatisfaction Intensity) toward urban environment. As a method of a study, 118 cognitive elements were selected representing an urban environment, and each of elements was suggested to citizens of Kyungju with 7 point Likert Scale. The analysis of C.I.V was operated under the three criteria: The first, three of urban space scale(urban scale, neighborhood scale, and housing scale), the second, four elements of urban living environment(safety, amenity, healthfulness, and effectiveness), and the last, thirteen urban unit environment(housing, traffic, education, tourism, medical/health, culture, etc.). The results were as follows: C.I.V to each of 118 elements was cleary defined, showing the possibilities of being applied to a method for subjective, or cognitive evaluation on urban environment: It was revealed that citizens'C.I.V was rather higher in non-physical, qualitative elements than in physical and quantitative ones. This shows well the limitation of the objective method of evaluation of urban environment: The results of the others' studies on the image of Kyungju based on the cognitive approach, being focused on the analysis of the visual aspects of urban structure, cultural assets, historic site and tourism, were almost same as this study but it was quite different for this research to reveal well the citizens' cognition on their living environment of traffic, education, medical, etc..

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