인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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.
학술저널
DBpia Top 0.5%
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
The impacts of heatwaves exacerbated by climate change are particularly severe in densely populated cities with high-rise buildings, where vulnerable groups such as the elderly are at the greatest risk of adverse effects. Seoul, Korea, has implemented policies to address heatwave-related risks, with the establishment of cooling centers as a key initiative to reduce heatwave vulnerability. However, analysis of the effectiveness of these cooling centers for mitigating heatwave-related impacts has been limited. In particular, studies that integrate spatial analysis with the distribution of the elderly population in the context of heatwave vulnerability remain scarce. In this study, we empirically evaluate the effectiveness of Seoul's cooling center policy by conducting spatial analysis using data illustrating heatwave vulnerability and the spatial distribution of elderly inhabitants, including those living alone, across 423 administrative districts. We assessed the heatwave vulnerability of each district and calculated the capacity of cooling centers. We used visual mapping and LISA analysis via QGIS to examine the spatial alignment between cooling center locations and the distribution of the elderly population. The results indicate that the current locations of cooling centers do not sufficiently account for the distribution of the elderly population in areas with high heatwave vulnerability. This finding underscores the need for better-targeted policies at the district level. We provide policy insights by presenting empirical evidence through spatial analysis and visualization, offering recommendations for more effective placement of cooling centers.
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.
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UCI(KEPA) : I410-151-25-02-092197986
