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The maximal expected coverage relocation problem for emergency vehicles

Author

Listed:
  • M Gendreau

    (Département d'informatique et de recherche opérationnelle, Université de Montréal
    Centre de recherche sur les transports, Université de Montréal)

  • G Laporte

    (Centre de recherche sur les transports, Université de Montréal
    HEC Montréal)

  • F Semet

    (LAMIH-ROI, Université de Valenciennes et du Hainaut-Cambrésis, Le Mont-Houy
    GRIS, Université de Montréal)

Abstract

In the Maximal Expected Coverage Relocation Problem the aim is to provide a dynamic relocation strategy for emergency vehicle waiting sites in such a way that the expected covered demand is maximized and the number of waiting site relocations is controlled. The problem can be formulated as an integer linear program. When the number of vehicles is relatively small this program can be solved within reasonable computing time. Simulations conducted with real-life emergency medical services data from the Montreal area confirm the feasibility of the proposed approach.

Suggested Citation

  • M Gendreau & G Laporte & F Semet, 2006. "The maximal expected coverage relocation problem for emergency vehicles," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(1), pages 22-28, January.
    • Handle: RePEc:pal:jorsoc:v:57:y:2006:i:1:d:10.1057_palgrave.jors.2601991
    DOI: 10.1057/palgrave.jors.2601991
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    References listed on IDEAS

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    1. Mark S. Daskin, 1983. "A Maximum Expected Covering Location Model: Formulation, Properties and Heuristic Solution," Transportation Science, INFORMS, vol. 17(1), pages 48-70, February.
    2. Michel Gendreau & François Guertin & Jean-Yves Potvin & Éric Taillard, 1999. "Parallel Tabu Search for Real-Time Vehicle Routing and Dispatching," Transportation Science, INFORMS, vol. 33(4), pages 381-390, November.
    3. Richard C. Larson, 1975. "Approximating the Performance of Urban Emergency Service Systems," Operations Research, INFORMS, vol. 23(5), pages 845-868, October.
    4. Brotcorne, Luce & Laporte, Gilbert & Semet, Frederic, 2003. "Ambulance location and relocation models," European Journal of Operational Research, Elsevier, vol. 147(3), pages 451-463, June.
    5. Constantine Toregas & Ralph Swain & Charles ReVelle & Lawrence Bergman, 1971. "The Location of Emergency Service Facilities," Operations Research, INFORMS, vol. 19(6), pages 1363-1373, October.
    6. Kathleen Hogan & Charles ReVelle, 1986. "Concepts and Applications of Backup Coverage," Management Science, INFORMS, vol. 32(11), pages 1434-1444, November.
    7. Rajan Batta & June M. Dolan & Nirup N. Krishnamurthy, 1989. "The Maximal Expected Covering Location Problem: Revisited," Transportation Science, INFORMS, vol. 23(4), pages 277-287, November.
    8. Mark S. Daskin & Edmund H. Stern, 1981. "A Hierarchical Objective Set Covering Model for Emergency Medical Service Vehicle Deployment," Transportation Science, INFORMS, vol. 15(2), pages 137-152, May.
    9. Marianov, Vladimir & Revelle, Charles, 1994. "The queuing probabilistic location set covering problem and some extensions," Socio-Economic Planning Sciences, Elsevier, vol. 28(3), pages 167-178.
    10. Repede, John F. & Bernardo, John J., 1994. "Developing and validating a decision support system for locating emergency medical vehicles in Louisville, Kentucky," European Journal of Operational Research, Elsevier, vol. 75(3), pages 567-581, June.
    11. David Schilling & D. Jack Elzinga & Jared Cohon & Richard Church & Charles ReVelle, 1979. "The Team/Fleet Models for Simultaneous Facility and Equipment Siting," Transportation Science, INFORMS, vol. 13(2), pages 163-175, May.
    12. Charles ReVelle & Kathleen Hogan, 1989. "The Maximum Availability Location Problem," Transportation Science, INFORMS, vol. 23(3), pages 192-200, August.
    13. Michael O. Ball & Feng L. Lin, 1993. "A Reliability Model Applied to Emergency Service Vehicle Location," Operations Research, INFORMS, vol. 41(1), pages 18-36, February.
    14. Peter Kolesar & Warren E. Walker, 1974. "An Algorithm for the Dynamic Relocation of Fire Companies," Operations Research, INFORMS, vol. 22(2), pages 249-274, April.
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