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Introduction to Location Science

In: Location Science

Author

Listed:
  • Gilbert Laporte

    (Interuniversity Research Centre on Enterprise Networks, Logistics, and Transportation (CIRRELT), HEC Montréal, Canada Research Chain in Distribution Management)

  • Stefan Nickel

    (Karlsruhe Institute of Technology (KIT), Institute for Operations Research and Research Center for Information Technology (FZI))

  • Francisco Saldanha-da-Gama

    (Universidade de Lisboa, Departamento de Estatística e Investigação Operacional, Centro de Matemática, Aplicações Fundamentais e Investigação Operacional, Faculdade de Ciências)

Abstract

This chapter introduces modern Location Science. It traces the roots of the area and describes the path leading to the full establishment of this research field. It identifies several disciplines having strong links with Location Science and offers examples of areas in which the knowledge accumulated in the field of location has been applied with great success. It describes the purpose and structure of this volume. Finally, it provides suggestions on how to make use of the contents presented in this book, namely for organizing general or specialized location courses targeting different audiences.

Suggested Citation

  • Gilbert Laporte & Stefan Nickel & Francisco Saldanha-da-Gama, 2019. "Introduction to Location Science," Springer Books, in: Gilbert Laporte & Stefan Nickel & Francisco Saldanha da Gama (ed.), Location Science, edition 2, chapter 0, pages 1-21, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-32177-2_1
    DOI: 10.1007/978-3-030-32177-2_1
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    Citations

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    Cited by:

    1. Arslan, Okan & Laporte, Gilbert, 2025. "The 15-minute city concept: An operations research perspective and a research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 202(C).
    2. Pashapour, Amirreza & Günneç, Dilek & Salman, F. Sibel & Yücel, Eda, 2024. "Capacitated Mobile Facility Location Problem with Mobile Demand: Efficient Relief Aid Provision to En Route Refugees," Omega, Elsevier, vol. 129(C).
    3. Gao, Pan & Li, Min & Wu, Zhongming & Zhang, Zhenzhen, 2026. "Two-stage distributionally robust optimization approach for drone-supported facility location and post-disaster relief distribution," Omega, Elsevier, vol. 139(C).
    4. Giovanni Pantuso, 2025. "Solution of stochastic facility location problems with combinatorially many decision-dependent distributions," Journal of Combinatorial Optimization, Springer, vol. 50(4), pages 1-32, November.
    5. Roan Talbut & Anthea Monod, 2025. "Tropical gradient descent," Journal of Global Optimization, Springer, vol. 93(2), pages 413-449, October.

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