How do Socioeconomic Characteristics Interact with Equity and Efficiency Considerations? An Analysis of Hurricane Disaster Relief Goods Provision
Spatial analytic research has explored the issue of where to best site hurricane relief distribution facilities, but it has largely concentrated on the efficient provision of these services. However, equity considerations may also impact decisions on where to locate facilities. Questions of efficiency vs. equity become all the more acute when more detailed assessments of peoples’ socioeconomic characteristics are made as a part of these decisions. This paper examines the issue of siting hurricane disaster relief facilities based on equity vs. efficiency objectives, in light of populations’ socioeconomic differences. Population differences are measured in terms of a household income variable. p-median and vertex p-center problems are applied to find relief center locations in a Southeastern U.S. city. Results show that income differences interact with the location strategies employed to produce variation in people’s accessibility to relief goods.
KeywordsHurricanes Distaster relief Spatial model GIS Equity
This chapter is based upon work supported by the U.S. National Science Foundation under Grant No. (BCS-0550330) awarded to the first author (Horner). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
- Baker, E.J. (1991). Hurricane evacuation behavior. International Journal of Mass Emergencies and Disasters, 9(2), 287–310Google Scholar
- Florida Division of Emergency Management (FDEM). (2004). Florida Comprehensive Emergency Management Plan. Available on http://floridadisaster.org/documents/CEMP/floridaCEMP.htm.
- Florida Division of Emergency Management (FDEM). (2006). Florida Comprehensive Emergency Management Plan County Logistics Planning Standard - Operating Guideline (CEMP 2355). Available on http://floridadisaster.org/bpr/Response/CIandLOG.htm
- Horner, M.W. & Downs, J.A. (2008b). Optimizing Hurricane Disaster Relief Goods Distribution and Transportation: Florida Department of Emergency Management Comprehensive Plan. Paper read at Annual Meeting of the Transportation Research Board, at Washington, DC.Google Scholar
- Horner, M. W. & Mefford, J.N. (2005). Examining the spatial and social variation in employment accessibility: a case study of bus transit in austin, texas. In D. Levinson & K. Krizek (Eds.), Access to Destinations (pp. 193–214). (Oxford: Elsevier)Google Scholar
- Miller, H. J. & Shaw, S.-L. (2001). Geographic information systems for transportation. (New York: Oxford University Press)Google Scholar
- Mirchandani, P. B. & Francis, R.L. (1990). Discrete location theory. (New York: John Wiley and Sons)Google Scholar
- Nicholas, M. A., Handy, S. L & Sperling, D. (2004). Using geographic information systems to evaluate siting and networks of hydrogen stations. Transportation Research Record, 1880, 126–134Google Scholar
- ReVelle, C., Marks, D. & Liebman, J.C. (1970). Analysis of private and public sector location models. Management Science Series a-Theory, 16(11), 692–707Google Scholar
- Schwanen, T. (2003). Transport planning, logistics, and spatial mismatch: a regional science perspective. Journal of Regional Science, 43(1), 206–209Google Scholar
- Scott, D.M. & Horner, M.W. (2008). Examining the role of urban form in shaping people’s accessibility to opportunities: an exploratory analysis. Forthcoming in the Journal of Transportation and Land Use.Google Scholar
- Wolshon, B. (2006). Evacuation planning and engineering for hurricane katrina. The Bridge, 36(1), 27–34Google Scholar