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Location models in the public sector

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Abstract

The past four decades have witnessed an explosive growth in the field of networkbased facility location modeling. This is not at all surprising since location policy is one of the most profitable areas of applied systems analysis in regional science and ample theoretical and applied challenges are offered. Location-allocation models seek the location of facilities and/or services (e.g., schools, hospitals, and warehouses) so as to optimize one or several objectives generally related to the efficiency of the system or to the allocation of resources. This paper concerns the location of facilities or services in discrete space or networks, that are related to the public sector, such as emergency services (ambulances, fire stations, and police units), school systems and postal facilities. The paper is structured as follows: first, we will focus on public facility location models that use some type of coverage criterion, with special emphasis in emergency services. The second section will examine models based on the P-Median problem and some of the issues faced by planners when implementing this formulation in real world locational decisions. Finally, the last section will examine new trends in public sector facility location modeling.

Suggested Citation

  • Vladimir Marianov & Daniel Serra, 2004. "Location models in the public sector," Economics Working Papers 755, Department of Economics and Business, Universitat Pompeu Fabra.
  • Handle: RePEc:upf:upfgen:755
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    Cited by:

    1. ReVelle, Charles & Murray, Alan T. & Serra, Daniel, 2007. "Location models for ceding market share and shrinking services," Omega, Elsevier, vol. 35(5), pages 533-540, October.
    2. L’udmila Jánošíková & Miloš Herda & Michal Haviar, 2017. "Hybrid genetic algorithms with selective crossover for the capacitated p-median problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(3), pages 651-664, September.
    3. Jaroslav Janáček & Marek Kvet, 2017. "Semi-fair design of emergency service system with failing centers," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(3), pages 665-677, September.
    4. Xueping Li & Zhaoxia Zhao & Xiaoyan Zhu & Tami Wyatt, 2011. "Covering models and optimization techniques for emergency response facility location and planning: a review," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 74(3), pages 281-310, December.
    5. Jaroslav Janáček, 2015. "Public service system design with fuzzy parameters of perceived utility," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(3), pages 595-606, September.
    6. Grubesic, Tony H. & Matisziw, Timothy C. & Murray, Alan T., 2012. "Assessing geographic coverage of the essential air service program," Socio-Economic Planning Sciences, Elsevier, vol. 46(2), pages 124-135.

    More about this item

    Keywords

    Location analysis; public facilities; covering models;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • J80 - Labor and Demographic Economics - - Labor Standards - - - General

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