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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References
Blaikie, P., Cannon, T., Davis, I., and Wisner, B. (1994)AtRisk: Natural Hazards, People’s Vulnerability, and Disasters, Routledge, London.
Bolin, R. (1982) Long-term Family Recovery from Disaster, Institute of Behavioral Science Monograph #36, University of Colorado, Boulder, CO.
Bolin, R. and Stanford, L. (1991) Shelter, housing, and recovery: a comparison of U.S. disasters, Disasters 15, pp.24–34.
Burton, I., Kates, R. and White, G.F. (1993) The Environment as Hazard, Guilford Press, New York.
Cutter, S.L. (1996) Vulnerability to environmental hazards, Progress in Human Geography 20, pp.181–194.
Cutter, S.L., Mitchell, J.T., Scott, M.S., and Thomas, D.S.K. (1997) A GIS-based hazards assessment for Georgetown County, South Carolina, Prepared by the Hazards Research Lab, Department of Geography, University of South Carolina for the South Carolina Emergency Preparedness Division, Office of the Adjutant General.
Hewitt, K. and Burton, I. (1971) The Hazardousness of a Place: A Regional Ecology of Damaging Events, Department of Geography Research Publication No. 6. University of Toronto Press, Toronto.
Johnson, J. and Zeigler, D. (1986) Evacuation planning for technological hazards: an emerging imperative, Cities 3, pp. 148–156.
Liverman, D. (1989) Vulnerability to global environmental change, in R. Kasperson et al. (eds.), Understanding Global Environmental Change, Clark University, Worcester, MA.
Lowry, J.H., Jr., Miller, H.J., and Hepner, G. F. (1995) A GIS-based sensitivity analysis of community vulnerability to hazardous contaminants on the Mexico/US border, Photogrammetric Engineering and Remote Sensing 61, pp. 1347–1359.
Mejia-Navarro, M., Wohl E.E., and Oaks, S.D. (1994) Geological hazards, vulnerability, and risk assessment using GIS: model for Glenwood Springs, Colorado, in M. Morisawa (ed.), Geomorphology and Natural Hazards, Elsevier, Amsterdam, pp. 331–354.
Montz, B.E. (1994) Methodologies for Analysis of Multiple Hazard Probabilities: An Application in Rotorua, New Zealand. Fulbright Research Scholar Report. Prepared for the Centre for Environmental and Resource Studies, University of Waikato, Hamilton, New Zealand.
Montz, B.E. and Tobin, G.A. (1998) Hazardousness of location: critical facilities in the Tampa Bay Region, Papers and Proceedings of the Applied Geography Conferences 21,pp. 315–322.
Mustafa, D. (1998) Structural causes of vulnerability to flood hazard in Pakistan, Economic Geography 74, pp. 289–305.
O’Brien, P. and Mileti, D. (1992) Citizen participation in emergency response following the Loma Prieta earthquake, International Journal of Mass Emergencies and Disasters 10, pp. 71–89.
Sharada, D., Kaveri Devi, D., Prasad, S. and Kumar, S. (1997) Modeling flash flood hazard to a railway line: a GIS approach, Geocarto International 12, pp.77–82.
Thompson, P.A. and Walsh, S.J. (1998) Modeling floodplain inundation using an integrated GIS with radar and optical remote sensing, in R.D. Butler and S.J. Walsh (eds.),Application ofRemote Sensing and Geographic Information Systems in the Study of Geomorphology, Elsevier, Amsterdam, pp. 295–213.
Tobin, G.A. and Montz, B.E. (1997) Natural Hazards, Explanation and Integration, Guilford Publishers, New York.
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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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