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학술논문

The Regional Vulnerability Assessment Model of Heat Wave Considering Heat Wave Disaster Vulnerable Groups

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영문명
The Regional Vulnerability Assessment Model of Heat Wave Considering Heat Wave Disaster Vulnerable Groups
발행기관
위기관리 이론과 실천
저자명
나예지 원정훈
간행물 정보
『JSCM(Journal of Safety and Crisis Management)』Vol.13 No.2, 1~8쪽, 전체 8쪽
주제분류
사회과학 > 행정학
파일형태
PDF
발행일자
2023.02.28
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국문 초록

영문 초록

This study developed regional vulnerability assessment model of heat wave considering heat wave disaster vulnerable groups. As indicators of the vulnerability assessment model, climate exposure, sensitivity, adaptive capacity indicators were considered. As detailed indicators in sensitive, the heat wave disaster vulnerable groups were considered (Model A). In addition, the model considering general disaster vulnerable groups (Model B) as indicators in sensitive were analyzed. AHP survey was conducted to measure the relative importance and ranking of the heat wave vulnerability assessment indicators. Results showed that the farmer and obesity were recognized as highly vulnerable among sensitive indicators in Model A and female, multicultural family, and foreigner were recognized as highly vulnerable in Model B based on AHP analysis. By comparing the relationship between the damage from heat wave and the results of the vulnerability assessment, Model A showed high explanatory power in case of heat wave deaths while Model B showed high explanatory power in case of heat wave victims.

목차

Introduction
AHP Analysis for Vulnerability Assessment Indicators
Heat Wave Vulnerability Assessment Model
Results of Regional Heat Wave Vulnerability Assessment
Conclusion
Acknowledgement
References

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APA

나예지,원정훈. (2023).The Regional Vulnerability Assessment Model of Heat Wave Considering Heat Wave Disaster Vulnerable Groups. JSCM(Journal of Safety and Crisis Management), 13 (2), 1-8

MLA

나예지,원정훈. "The Regional Vulnerability Assessment Model of Heat Wave Considering Heat Wave Disaster Vulnerable Groups." JSCM(Journal of Safety and Crisis Management), 13.2(2023): 1-8

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