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Geospatial Analysis and Modelling of Urban Structure and Dynamics pp 393–414Cite as

How do Socioeconomic Characteristics Interact with Equity and Efficiency Considerations? An Analysis of Hurricane Disaster Relief Goods Provision

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Part of the book series: GeoJournal Library ((GEJL,volume 99))

Abstract

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.

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References

  • Altay, N. & Green, W.G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175(1), 475–493

    Article  Google Scholar 

  • Baker, E.J. (1991). Hurricane evacuation behavior. International Journal of Mass Emergencies and Disasters, 9(2), 287–310

    Google Scholar 

  • Cervero, R. & Duncan, M. (2006). Which reduces vehicle travel more: jobs-housing balance or retail-housing mixing? Journal of the American Planning Association, 72(4), 475–490

    Article  Google Scholar 

  • Cheng, T.C.E., Kang, L. & Ng, C.T. (2007). An improved algorithm for the p-center problem on interval graphs with unit lengths. Computers & Operations Research, 34(8), 2215

    Article  Google Scholar 

  • Cutter, S.L., Emrich, C.T., Mitchell, J.T., Boruff, B.J., Gall, M., Schmidtlein, M.C., Burton, C.G. & Melton, G. (2006). The long road home: Race, class, and recovery from Hurricane Katrina. Environment, 48(2), 8–20

    Article  Google Scholar 

  • Daskin, M.S. (1995). Network and discrete location: models, algorithms, and applications. (New York: John Wiley and Sons)

    Book  Google Scholar 

  • Daskin, M.S. (2008). What you should know about location modeling. Naval Research Logistics, 55(4), 283–294

    Article  Google Scholar 

  • DeVerteuil, G. (2000). Reconsidering the legacy of urban public facility location theory in human geography. Progress in Human Geography, 24(1), 47–69

    Article  Google Scholar 

  • Drezner, T. (2004). Location of casualty collection points. Environment and Planning C-Government and Policy, 22(6), 899–912

    Article  Google Scholar 

  • Elsner, J.B. & Jagger, T.H. (2006). Comparison of hindcasts anticipating the 2004 Florida Hurricane season. Weather and Forecasting, 21(2), 182–192

    Article  Google 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

  • Fothergill, A., Maestas, E.G.M. & Darlington, J.D. (1999). Race, ethnicity and disasters in the United States: a review of the literature. Disasters, 23(2), 156–173

    Article  Google Scholar 

  • Fu, H. Q. & Wilmot, C.G. (2006). Survival analysis-based dynamic travel demand models for hurricane evacuation. Transportation Research Record, 1964, 211–218

    Article  Google Scholar 

  • Harsanyi, J.C. (1975). Can maximin principle serve as a basis for morality – critique of rawls. J Theory. American Political Science Review, 69(2), 594–606

    Article  Google Scholar 

  • Horner, M.W. & Downs, J.A. (2007). Testing a flexible GIS-based network flow model for routing hurricane disaster relief goods. Transportation Research Record, 2022, 47–54

    Article  Google Scholar 

  • Horner, M.W. & Downs, J.A. (2008a). An analysis of the effects of socio-economic status on hurricane disaster relief plans. Transportation Research Record, 2067, 1–10

    Article  Google Scholar 

  • 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 

  • Horner, M. W. & Murray, A.T. (2002). Excess commuting and the modifiable areal unit problem. Urban Studies, 39(1):131–139

    Article  Google Scholar 

  • Lindell, M.K. & Prater, C.S. (2007). Critical behavioral assumptions in evacuation time estimate analysis for private vehicles: Examples from hurricane research and planning. Journal of Urban Planning and Development-Asce, 133(1), 18–29

    Article  Google Scholar 

  • Liu, S.X. & X. Zhu, A. (2004). Accessibility analyst: an integrated GIS tool for accessibility analysis in urban transportation planning. Environment and Planning B-Planning and Design, 31(1), 105–124

    Article  Google Scholar 

  • Marsh, M.T. & Schilling, D.A. (1994). equity measurement in facility location analysis – a review and framework. European Journal of Operational Research, 74(1), 1–17

    Article  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 

  • Morrill, R. L. & Symons, J. (1977). Efficiency and equity aspects of optimum location. Geographical Analysis, 9(3), 215–225

    Article  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, 126–134

    Google Scholar 

  • Oppong, J.R. (1996). Accommodating the rainy season in third world location-allocation applications. Socio-Economic Planning Sciences, 30(2), 121–137

    Article  Google Scholar 

  • Preston, J. & Rajé, F. (2007). Accessibility, mobility and transport-related social exclusion. Journal of Transport Geography, 15(3), 151

    Article  Google Scholar 

  • ReVelle, C., Marks, D. & Liebman, J.C. (1970). Analysis of private and public sector location models. Management Science Series a-Theory, 16(11), 692–707

    Google Scholar 

  • ReVelle, C.S. & Eiselt, H.A. (2005). Location analysis: a synthesis and survey. European Journal of Operational Research, 165(1), 1

    Article  Google Scholar 

  • ReVelle, C.S. & Swain, R.W. (1970). Central facilities location. Geographical Analysis, 2(1), 30–42

    Article  Google Scholar 

  • Schwanen, T. (2003). Transport planning, logistics, and spatial mismatch: a regional science perspective. Journal of Regional Science, 43(1), 206–209

    Google 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 

  • Smoyer-Tomic, K.E., Spence, J.C. & Amrhein, C. (2006). Food deserts in the prairies? Supermarket accessibility and neighborhood need in Edmonton, Canada. Professional Geographer, 58(3), 307–326

    Article  Google Scholar 

  • Talen, E. & Anselin, L. (1998). Assessing spatial equity: an evaluation of measures of accessibility to public playgrounds. Environment and Planning A, 30(4), 595–613

    Article  Google Scholar 

  • Teitz, M. B. & Bart, P. (1968). Heuristic methods for estimating generalized vertex median of a weighted graph. Operations Research 16(5), 955–961

    Article  Google Scholar 

  • Truelove, M. (1993). Measurement of spatial equity. Environment and Planning C-Government And Policy, 11(1), 19–34

    Article  Google Scholar 

  • Wolshon, B. (2006). Evacuation planning and engineering for hurricane katrina. The Bridge, 36(1), 27–34

    Google Scholar 

  • Wright, P.D., Liberatore, M.J. & Nydick, R.L. (2006). A survey of operations research models and applications in homeland security. Interfaces, 36(6), 514–529

    Article  Google Scholar 

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Acknowledgments

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.

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Authors and Affiliations

  1. Department of Geography, The Florida State University, Tallahassee, FL, 32306-2190, USA

    Mark W. Horner & Michael J. Widener

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  1. Mark W. Horner
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  2. Michael J. Widener
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Correspondence to Mark W. Horner .

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Editors and Affiliations

  1. Inst. Teknik, Div. Geomatics, University of Gävle, Gävle, 801 76, Sweden

    Bin Jiang

  2. Dept. Geography, University of Georgia, Athens, 30602, USA

    Xiaobai Yao

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Horner, M.W., Widener, M.J. (2010). How do Socioeconomic Characteristics Interact with Equity and Efficiency Considerations? An Analysis of Hurricane Disaster Relief Goods Provision. In: Jiang, B., Yao, X. (eds) Geospatial Analysis and Modelling of Urban Structure and Dynamics. GeoJournal Library, vol 99. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8572-6_20

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