인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.04
- 수록면
- 101 - 110 (10page)
- DOI
- 10.17208/jkpa.2020.04.55.2.101
이용수
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해당 논문이 위치하는 상위 비율을 의미합니다.
초록· 키워드
This study aims to empirically assess the effects of heat-wave adaptation policies on the incidence of heat-related illnesses. The study period is the summer of 2018, in which the temperature in South Korea reached a record high. We tested the four generalized linear models, including the Poisson, negative binomial, zero-inflated Poisson, and zero-inflated negative binomial regressions. After fitting these with the heat-related patients count data, we selected the zero-inflated negative binomial analysis for its superior goodness-of-fit. The results suggested that temperature increment is associated with the number of patients with heat-related symptoms regardless of whether or not a heat warning went off. Further, the empirical results demonstrated that the increase of both urban forests and cooling shelters in residential areas are associated with lower incidences of heat-related illnesses. Given that climate change is expected to increase the intensity and duration of heat waves, it is necessary to establish better systems for both weather prediction and information delivery in implementing heat warnings. Furthermore, this study suggests that green land use planning and heat-illness prevention programs could be viable measures for preventing adverse effects on human health from extreme weather events.
#폭염
#기후변화
#토지이용
#건강영향
#영과잉 음이항 모형
#Heat Waves
#Climate Change
#Land Use
#Health Impact
#Zero-inflated Negative Binomial Model
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목차
- Abstract
- Ⅰ. 서론
- Ⅱ. 문헌고찰 및 연구의 차별성
- Ⅲ. 분석틀
- Ⅳ. 실증분석 결과 및 해석
- Ⅴ. 결론 및 시사점
- 인용문헌 References