An Analysis of Social Vulnerability to Natural Hazards in Nepal Using a Modified Social Vulnerability Index

Sanam K. Aksha; Luke Juran; Lynn M. Resler; Yang Zhang

doi:10.1007/s13753-018-0192-7

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Article Navigation > International Journal of Disaster Risk Science > 2019 > 10(1): 103-116

Sanam K. Aksha, Luke Juran, Lynn M. Resler, Yang Zhang. An Analysis of Social Vulnerability to Natural Hazards in Nepal Using a Modified Social Vulnerability Index[J]. International Journal of Disaster Risk Science, 2019, 10(1): 103-116. doi: 10.1007/s13753-018-0192-7

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Sanam K. Aksha, Luke Juran, Lynn M. Resler, Yang Zhang. An Analysis of Social Vulnerability to Natural Hazards in Nepal Using a Modified Social Vulnerability Index[J]. International Journal of Disaster Risk Science, 2019, 10(1): 103-116. doi: 10.1007/s13753-018-0192-7

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An Analysis of Social Vulnerability to Natural Hazards in Nepal Using a Modified Social Vulnerability Index

doi: 10.1007/s13753-018-0192-7

1 Department of Geography, Virginia Tech, Blacksburg, VA 24061, USA;
2 Virginia Water Resources Research Center, Virginia Tech, Blacksburg, VA 24061, USA;
3 Urban Affairs and Planning, Virginia Tech, Blacksburg, VA 24061, USA

Available Online: 2021-04-26

Abstract

Abstract

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.
- Disaster risk reduction,
- Natural hazards,
- Nepal,
- Principal component analysis,
- Social Vulnerability Index

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References(52)

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