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Locating fire-stations: an integrated approach for Belgium

  • CHEVALIER, Philippe


    (Université catholique de Louvain, CORE and Louvain School of Management, B-1348 Louvain-la-Neuve, Belgium)

  • THOMAS, Isabelle


    (Université catholique de Louvain, CORE and Department of Geography (Fund for Scientific Research), B-1348 Louvain- la-Neuve, Belgium)

  • GERAETS, David

    (Experian Business Strategies SA, B-1348 Louvain-la-Neuve, Belgium)


    (Department of Applied Mathematics and Computer Science and Center for Statistics, Ghent University, B-9000 Ghent, Belgium)

This paper demonstrates the potential of a decision-support system developed for Belgium by a consortium of universities and a private firm, in the framework of a public call by the Ministry of the Interior. The system is designed to provide the Belgian emergency management administration with a complete decision-aid tool for the location of fire-stations. The originality of the project is that it includes a risk-modeling approach developed at a national scale. This analysis involves a multiscale GIS system which includes a thorough representation of the physical, human and economic spatial realities, a risk modeling approach, an adequate optimal location and allocation model (taking into account both queuing and staffing problems). The final result is an interactive operational tool for defining locations, equipment allocations, staffing, response times, the cost/efficiency trade-off, etc. which can be used in an assessment as well as a prospective context. It has numerous functionalities including rapid modification of the modeling conditions to allow for quick scenario analysis, multiscale analysis, and prospective analysis.

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Paper provided by Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) in its series CORE Discussion Papers with number 2010008.

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Date of creation: 01 Feb 2010
Date of revision:
Handle: RePEc:cor:louvco:2010008
Contact details of provider: Postal: Voie du Roman Pays 34, 1348 Louvain-la-Neuve (Belgium)
Phone: 32(10)474321
Fax: +32 10474304
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  1. Daoqin Tong & Alan T. Murray, 2009. "Maximising coverage of spatial demand for service," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 85-97, 03.
  2. H Beguin & I Thomas & D Vandenbussche, 1992. "Weight variations within a set of demand points, and location - allocation issues: a case study of public libraries," Environment and Planning A, Pion Ltd, London, vol. 24(12), pages 1769-1779, December.
  3. Badri, Masood A. & Mortagy, Amr K. & Alsayed, Colonel Ali, 1998. "A multi-objective model for locating fire stations," European Journal of Operational Research, Elsevier, vol. 110(2), pages 243-260, October.
  4. repec:cor:louvrp:-747 is not listed on IDEAS
  5. Alan Murray, 2010. "Advances in location modeling: GIS linkages and contributions," Journal of Geographical Systems, Springer, vol. 12(3), pages 335-354, September.
  6. Grubesic, Tony H., 2008. "Zip codes and spatial analysis: Problems and prospects," Socio-Economic Planning Sciences, Elsevier, vol. 42(2), pages 129-149, June.
  7. Ohlsson, Mattias & Peterson, Carsten & Soderberg, Bo, 2001. "An efficient mean field approach to the set covering problem," European Journal of Operational Research, Elsevier, vol. 133(3), pages 583-595, September.
  8. Alexandra Ribeiro & Ant�nio Pais Antunes, 2002. "A GIS-based decision-support tool for public facility planning," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 29(4), pages 553-569, July.
  9. ReVelle, C.S. & Eiselt, H.A. & Daskin, M.S., 2008. "A bibliography for some fundamental problem categories in discrete location science," European Journal of Operational Research, Elsevier, vol. 184(3), pages 817-848, February.
  10. Eiselt, H.A. & Marianov, Vladimir, 2009. "Gradual location set covering with service quality," Socio-Economic Planning Sciences, Elsevier, vol. 43(2), pages 121-130, June.
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