论文摘要
Social vulnerability influences the ability to prepare for, respond to, and recover from disasters. The identification of vulnerable populations and factors that contribute to their vulnerability are crucial for effective disaster risk reduction. Nepal exhibits multihazard risk and has experienced socioeconomic and political upheaval in recent decades, further increasing susceptibility to hazards.However, we still know little regarding social vulnerability in Nepal. Here, we investigate social vulnerability in Nepal by adapting Social Vulnerability Index（SoVI） methods to the Nepali context. Variables such as caste, and populations who cannot speak/understand Nepali were added to reflect the essence of the Nepali context. Using principal component analysis, 39 variables were reduced to seven factors that explained 63.02% of variance in the data.Factor scores were summarized to calculate final SoVI scores. The highest levels of social vulnerability are concentrated in the central and western Mountain, western Hill, and central and eastern Tarai regions of Nepal, while the least vulnerable areas are in the central and eastern Hill regions. These findings, supplemented with smaller-scale analyses, have the potential to assist village officers, policymakers,and emergency managers in the development of more effective and geographically targeted disaster management programs.
论文目录
文章来源
类型: 期刊论文
作者: Sanam K.Aksha,Luke Juran,Lynn M.Resler,Yang Zhang
来源: International Journal of Disaster Risk Science 2019年01期
年度: 2019
分类: 工程科技Ⅰ辑
专业: 安全科学与灾害防治
单位: Department of Geography, Virginia Tech,Virginia Water Resources Research Center, Virginia Tech,Urban Affairs and Planning, Virginia Tech
分类号: X43
页码: 103-116
总页数: 14
文件大小: 7847K
下载量: 26
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