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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Gender-Sensitive Disaster Vulnerability Using Analytic Hierarchy Process and Genetic Algorithm
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Abstract
Disasters might cause different impacts for women, girls, or men be-cause of their capability to evacuate. These differences are initiated by cultural constraints on female mobility, lack of physical skills or strength. In South Korea, floods have been the most impacted natural disaster resulting in the loss of people’s lives and economic damage. Therefore, the gender-sensitive disaster vulnerability factors were proposed in this study. The weights of the factors were calculated using Analytic Hierarchy Process (AHP) and combination of AHP and Genetic Algorithm (GA). As a result, AHP-GA method provided more consistent results and gender related factors had higher weights in AHP-GA method than conventional AHP. Therefore, more detailed analysis is required to gender sensitive vulnerability index for the natural disaster prepare and response.