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On agglomeration in competitive location models

Author

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  • Vladimir Marianov

    (Pontificia Universidad Católica de Chile)

  • H. A. Eiselt

    (University of New Brunswick)

Abstract

Agglomeration of facilities that compete with each other is common in practice, which suggests the existence of forces driving facilities to locate in clusters. Shopping centers and food courts are everyday examples. Although these agglomeration forces have been adequately analyzed and explained in the economic literature, operational research location models have not taken them into consideration as of today. This is particularly troublesome, as locations prescribed by these models are rather dispersed, which is in blatant disagreement with the examples that can be observed in real life. We present a selective review of the economic literature dealing with agglomeration forces acting in a linear market, classifying these forces into weak and strong. This paper demonstrates the sensitivity of competitive location models with respect to some assumptions that cause agglomeration or dispersion.

Suggested Citation

  • Vladimir Marianov & H. A. Eiselt, 2016. "On agglomeration in competitive location models," Annals of Operations Research, Springer, vol. 246(1), pages 31-55, November.
  • Handle: RePEc:spr:annopr:v:246:y:2016:i:1:d:10.1007_s10479-014-1704-5
    DOI: 10.1007/s10479-014-1704-5
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    2. Vladimir Marianov & H. A. Eiselt & Armin Lüer-Villagra, 2020. "The Follower Competitive Location Problem with Comparison-Shopping," Networks and Spatial Economics, Springer, vol. 20(2), pages 367-393, June.
    3. Giat, Yahel, 2019. "A location model for boycotting with an application to kosher certification," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1109-1118.
    4. Marianov, Vladimir & Eiselt, H.A. & Lüer-Villagra, Armin, 2018. "Effects of multipurpose shopping trips on retail store location in a duopoly," European Journal of Operational Research, Elsevier, vol. 269(2), pages 782-792.
    5. Amir Gandomi & Amirhossein Bazargan & Saeed Zolfaghari, 2019. "Designing competitive loyalty programs: a stochastic game-theoretic model to guide the choice of reward structure," Annals of Operations Research, Springer, vol. 280(1), pages 267-298, September.
    6. Dolores R. Santos-Peñate & Clara M. Campos-Rodríguez & José A. Moreno-Pérez, 2020. "A Kernel Search Matheuristic to Solve The Discrete Leader-Follower Location Problem," Networks and Spatial Economics, Springer, vol. 20(1), pages 73-98, March.
    7. Lüer-Villagra, Armin & Marianov, Vladimir & Eiselt, H.A. & Méndez-Vogel, Gonzalo, 2022. "The leader multipurpose shopping location problem," European Journal of Operational Research, Elsevier, vol. 302(2), pages 470-481.
    8. Claudio-Pachecano, L. & Larralde, H., 2020. "Agglomeration or separation: Store patterns through an optimal location model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    9. Méndez-Vogel, Gonzalo & Marianov, Vladimir & Lüer-Villagra, Armin & Eiselt, H.A., 2023. "Store location with multipurpose shopping trips and a new random utility customers’ choice model," European Journal of Operational Research, Elsevier, vol. 305(2), pages 708-721.
    10. Giat, Yahel & Manes, Eran, 2023. "Firm response to ethically motivated boycotts," European Journal of Operational Research, Elsevier, vol. 305(1), pages 300-311.
    11. Zhang, Qi & Wang, Wenyuan & Peng, Yun & Zhang, Junyi & Guo, Zijian, 2018. "A game-theoretical model of port competition on intermodal network and pricing strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 19-39.
    12. Méndez-Vogel, Gonzalo & Marianov, Vladimir & Lüer-Villagra, Armin, 2023. "The follower competitive facility location problem under the nested logit choice rule," European Journal of Operational Research, Elsevier, vol. 310(2), pages 834-846.
    13. Lee, Jong Youl & Rajan, Balaraman & (Avi) Seidmann, Abraham, 2024. "Optimal location of remote dental units," European Journal of Operational Research, Elsevier, vol. 312(3), pages 969-977.

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