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Modeling Equity for Allocating Public Resources

In: Community-Based Operations Research

Author

Listed:
  • Philip D. Leclerc

    (Virginia Commonwealth University)

  • Laura A. McLay

    (Virginia Commonwealth University)

  • Maria E. Mayorga

    (Clemson University)

Abstract

Equity and fairness constitute central concerns in many disciplines, and their relevance to the allocation of public resources is undeniable. However, measures of equity used in the studies of public resource allocation are frequently ad hoc, and no standard measure of equity or process for selecting a measure of equity has emerged. Nevertheless, a burgeoning literature exists that systematically considers how best to model equity with perspectives from many disciplines. The goal of this chapter is to review, synthesize, and critically evaluate key contributions to modeling equity for allocating resources in public service systems. This chapter provides a useful guide to the central issues in the modeling of equity and fairness for operations researchers that reflects a broad, multidisciplinary perspective. Throughout the discussion, the planning and provision of Emergency Medical Services (EMS) resources are used as a microcosm of public services allocation problems, and equity modeling issues are illustrated through problems arising in EMS.

Suggested Citation

  • Philip D. Leclerc & Laura A. McLay & Maria E. Mayorga, 2012. "Modeling Equity for Allocating Public Resources," International Series in Operations Research & Management Science, in: Michael P. Johnson (ed.), Community-Based Operations Research, chapter 0, pages 97-118, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-0806-2_4
    DOI: 10.1007/978-1-4614-0806-2_4
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    Citations

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    Cited by:

    1. Hamoud S. Bin Obaid & Theodore B. Trafalis, 2020. "An approximation to max min fairness in multi commodity networks," Computational Management Science, Springer, vol. 17(1), pages 65-77, January.
    2. Alem, Douglas & Caunhye, Aakil M. & Moreno, Alfredo, 2022. "Revisiting Gini for equitable humanitarian logistics," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    3. Banerjee, Dipayan & Smilowitz, Karen, 2019. "Incorporating equity into the school bus scheduling problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 228-246.
    4. Mohammad R. Zolfaghari & Elnaz Peyghaleh, 2015. "Implementation of Equity in Resource Allocation for Regional Earthquake Risk Mitigation Using Two‐Stage Stochastic Programming," Risk Analysis, John Wiley & Sons, vol. 35(3), pages 434-458, March.
    5. Chong Hyun Park & Gemma Berenguer, 2020. "Supply Constrained Location‐Distribution in Not‐for‐Profit Settings," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2461-2483, November.
    6. Johnson, Michael P. & Midgley, Gerald & Chichirau, George, 2018. "Emerging trends and new frontiers in community operational research," European Journal of Operational Research, Elsevier, vol. 268(3), pages 1178-1191.
    7. Alexandre Jacquillat & Vikrant Vaze, 2018. "Interairline Equity in Airport Scheduling Interventions," Transportation Science, INFORMS, vol. 52(4), pages 941-964, August.
    8. Sengul Orgut, Irem & Freeman, Nickolas & Lewis, Dwight & Parton, Jason, 2023. "Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints," Omega, Elsevier, vol. 120(C).

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