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Introduction to Location Science

In: Location Science

Author

Listed:
  • Gilbert Laporte

    (HEC Montréal)

  • Stefan Nickel

    (Karlsruhe Institute of Technology (KIT)
    Fraunhofer Institute for Industrial Mathematics (ITWM))

  • Francisco Saldanha Gama

    (Faculdade de Ciências da Universidade de Lisboa)

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 Gama, 2015. "Introduction to Location Science," Springer Books, in: Gilbert Laporte & Stefan Nickel & Francisco Saldanha da Gama (ed.), Location Science, edition 127, chapter 0, pages 1-18, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-13111-5_1
    DOI: 10.1007/978-3-319-13111-5_1
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    Citations

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    Cited by:

    1. Dam, Tien Thanh & Ta, Thuy Anh & Mai, Tien, 2022. "Submodularity and local search approaches for maximum capture problems under generalized extreme value models," European Journal of Operational Research, Elsevier, vol. 300(3), pages 953-965.
    2. Musolino, Giuseppe & Rindone, Corrado & Polimeni, Antonio & Vitetta, Antonino, 2019. "Planning urban distribution center location with variable restocking demand scenarios: General methodology and testing in a medium-size town," Transport Policy, Elsevier, vol. 80(C), pages 157-166.
    3. Fatih Topaloğlu, 2024. "Development of a new hybrid method for multi-criteria decision making (MCDM) approach: a case study for facility location selection," Operational Research, Springer, vol. 24(4), pages 1-23, December.
    4. Xifeng Tang & Jiantao Wu & Rui Li, 2020. "Efficient Allocation of Customers to Facilities in the Multi-Objective Sustainable Location Problem," Sustainability, MDPI, vol. 12(18), pages 1-12, September.
    5. Derya Celik Turkoglu & Mujde Erol Genevois, 2020. "A comparative survey of service facility location problems," Annals of Operations Research, Springer, vol. 292(1), pages 399-468, September.

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