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Equity Maximizing Facility Location Schemes

Author

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  • Oded Berman

    (University of Massachusetts at Boston, Boston, MA 02125)

  • Edward H. Kaplan

    (Yale School of Organization and Management, New Haven, CT 06520)

Abstract

A plethora of methods exists for finding cost minimizing facility locations. However, it is generally true that once optimal locations have been found, the benefits derived from the facilities will not be distributed equally across customers due to differences in travel costs. Though some schemes aimed at providing more equitable facility locations have been proposed, none of these schemes are fully satisfactory in that there are always customers who are winners or losers with respect to the cost of travel. In this paper, we address the equity question using taxes (in the case of a central authority) or side payments (in the case of cooperating authorities) to redress benefit inequities. We show that the usual distance minimizing facility location formulations are still optimal, providing a very simple tax or side payment scheme is used to equalize benefits for all customers in the system. In the event that taxes or side payments cannot be utilized, our analysis leads to a natural method for locating facilities to minimize inequities. For the case of a single facility, the complexity of our approach is O ( n 4 ), where n is the number of customer demand points (nodes) in the service network.

Suggested Citation

  • Oded Berman & Edward H. Kaplan, 1990. "Equity Maximizing Facility Location Schemes," Transportation Science, INFORMS, vol. 24(2), pages 137-144, May.
  • Handle: RePEc:inm:ortrsc:v:24:y:1990:i:2:p:137-144
    DOI: 10.1287/trsc.24.2.137
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    Cited by:

    1. Bélanger, V. & Ruiz, A. & Soriano, P., 2019. "Recent optimization models and trends in location, relocation, and dispatching of emergency medical vehicles," European Journal of Operational Research, Elsevier, vol. 272(1), pages 1-23.
    2. Włodzimierz Ogryczak, 2009. "Inequality measures and equitable locations," Annals of Operations Research, Springer, vol. 167(1), pages 61-86, March.
    3. Marín, Alfredo, 2011. "The discrete facility location problem with balanced allocation of customers," European Journal of Operational Research, Elsevier, vol. 210(1), pages 27-38, April.
    4. Cruz Lopez-de-los-Mozos, M. & Mesa, Juan A., 2001. "The maximum absolute deviation measure in location problems on networks," European Journal of Operational Research, Elsevier, vol. 135(1), pages 184-194, November.
    5. Drezner, Tammy & Drezner, Zvi & Hulliger, Beat, 2014. "The Quintile Share Ratio in location analysis," European Journal of Operational Research, Elsevier, vol. 238(1), pages 166-174.
    6. Maria Barbati & Giuseppe Bruno & Alfredo Marín, 2016. "Balancing the arrival times of users in a two-stage location problem," Annals of Operations Research, Springer, vol. 246(1), pages 273-288, November.
    7. 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).
    8. Jesús Sánchez-Oro & Ana D. López-Sánchez & Anna Martínez-Gavara & Alfredo G. Hernández-Díaz & Abraham Duarte, 2021. "A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective k -Balanced Center Location Problem," Mathematics, MDPI, vol. 9(8), pages 1-21, April.

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