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Application of the Double Standard Model for Ambulance Location

In: Innovations in Distribution Logistics

Author

Listed:
  • Gilbert Laporte

    (Canada Research Chair in Distribution Management)

  • François V Louveaux

    (Facultés Universitaires Notre-Dame de la Paix)

  • Frédéric Semet

    (Université de Valenciennes et du Hainaut-Cambrésis
    Université de Montréal)

  • Arnaud Thirion

    (Facultés Universitaires Notre-Dame de la Paix)

Abstract

Summary This paper describes classical and advanced ambulance location models developed over the past 35 years. One of these models, called the Double Standard Model (DSM) maximizes double demand coverage with a fixed number of ambulances. A dynamic version of DSM was developed and tested on data from the Island of Montreal. The static version was successfully applied to data from Montreal, Austria and Wallonia.

Suggested Citation

  • Gilbert Laporte & François V Louveaux & Frédéric Semet & Arnaud Thirion, 2009. "Application of the Double Standard Model for Ambulance Location," Lecture Notes in Economics and Mathematical Systems, in: Jo A.E.E. Nunen & M. Grazia Speranza & Luca Bertazzi (ed.), Innovations in Distribution Logistics, chapter 12, pages 235-249, Springer.
    • Handle: RePEc:spr:lnechp:978-3-540-92944-4_12
    DOI: 10.1007/978-3-540-92944-4_12
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    Citations

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    Cited by:

    1. Boyacı, Burak & Geroliminis, Nikolas, 2015. "Approximation methods for large-scale spatial queueing systems," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 151-181.
    2. Ashkan Fakhri & Antonios Fragkogios & Georgios K. D. Saharidis, 2021. "An Accelerated Benders Decomposition Algorithm for Solving a Double-Type Double-Standard Maximal Covering Location Problem," SN Operations Research Forum, Springer, vol. 2(1), pages 1-24, March.
    3. 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.
    4. Wajid, Shayesta & Nezamuddin, N., 2023. "Capturing delays in response of emergency services in Delhi," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    5. Wajid, Shayesta & Nezamuddin, N., 2022. "A robust survival model for emergency medical services in Delhi, India," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    6. Su, Qiang & Luo, Qinyi & Huang, Samuel H., 2015. "Cost-effective analyses for emergency medical services deployment: A case study in Shanghai," International Journal of Production Economics, Elsevier, vol. 163(C), pages 112-123.

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