Abstract
Vulnerability to natural hazards is spatially variable, and these variations are not necessarily in direct proportion to physical risk. Other variables come into play, including those related to the nature of the hazard, in this case flash floods, and those related to socio-economic and land use variables, and all of these might be influenced by political decision-making. These data can be incorporated as separate data layers in a Geographic Information System, thus facilitating analysis of spatial patterns as well as providing the basis for determining measures of vulnerability; a number of methods have been developed. These methods take into account probability of occurrence, indices of the spatial extent, and characteristics of the community at risk. Community is sometimes defined by spatial boundaries and other times by characteristics such as age or mobility, and the proportion or absolute number of people and amount of property at risk. Despite these advances, little work has been done to evaluate methods of defining and depicting social vulnerability. This is addressed by testing three methods in a case study community.
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© 2001 Springer Science+Business Media Dordrecht
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Montz, B.E., Evans, T.A. (2001). Gis and Social Vulnerability Analysis. In: Gruntfest, E., Handmer, J. (eds) Coping With Flash Floods. NATO Science Series, vol 77. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0918-8_5
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DOI: https://doi.org/10.1007/978-94-010-0918-8_5
Publisher Name: Springer, Dordrecht
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