서울시민의 대기 환경에 관한 인식 및 태도

• 영문명: A Study on Recognition and Attitude of Residents in Seoul City about Air Environment
• 발행기관: 한국환경보건학회
• 저자명: 이정주 김신도 이경용
• 간행물 정보: 『1. 한국환경보건학회지』제21권 제4호, 63~74쪽, 전체 12쪽
• 주제분류: 공학 > 환경공학
• 파일형태: PDF
• 발행일자: 1995.12.30

영문 초록

The objective of this study were to identify the state of re. cognition and attitude of residents in Seoul city about air environment and to identify factors affecting attitude toward air environment. Study object was residents in Seoul city sampled by multistage random proportional sampling. Sample size was 0.0067%(500 persons) of total residents in Seoul city. The results were divided into two parts: (1) descriptive results of recognition and attitude toward air environment, (2) results of factor analysis to classify categories of attitudes toward air environment and regression analysis to identify factors affecting attitude toward air environment. Most of resident in Seoul city recognized that air environment in Seoul city was highly polluted and was not satisfactory. Experience of damage of air pollution was reported in about 70% of residents in Seoul city. More than 60% of residents in Seoul city had concern about air environment. Attitude toward air environment were classified into four categories using factor analysis: Necessity of intervention of local government for air environment conservation, Participation of residents and enterprises for air environment conservation, Optimistic attitude about air pollution, Preference of economy. Factors affecting the above attitudes were knowledge about air pollution, knowledge about policies and institutions related air environment conservation, concern about air environment, educational level, subjective assessment of air environment, sex, marital status. In conclusion this study suggested providing information of air environment in Seoul city to the residents and to educating residents for making positive attitude about air environment conservation.

키워드

air environment attitude recognition factor analysis regression analysis