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Locating fire stations: An integrated approach for Belgium

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Listed:
  • Chevalier, Philippe
  • Thomas, Isabelle
  • Geraets, David
  • Goetghebeur, Els
  • Janssens, Olivier
  • Peeters, Dominique
  • Plastria, Frank

Abstract

This paper illustrates 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 made 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 that 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. This flexible tool can be used in an assessment as well as a prospective context. It has been used to draw a national reorganization plan for fire stations that started being implemented in 2010.

Suggested Citation

  • Chevalier, Philippe & Thomas, Isabelle & Geraets, David & Goetghebeur, Els & Janssens, Olivier & Peeters, Dominique & Plastria, Frank, 2012. "Locating fire stations: An integrated approach for Belgium," Socio-Economic Planning Sciences, Elsevier, vol. 46(2), pages 173-182.
    • Handle: RePEc:eee:soceps:v:46:y:2012:i:2:p:173-182
    DOI: 10.1016/j.seps.2012.02.003
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    1. 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.
    2. Alan Murray, 2010. "Advances in location modeling: GIS linkages and contributions," Journal of Geographical Systems, Springer, vol. 12(3), pages 335-354, September.
    3. 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.
    4. Donald R. Plane & Thomas E. Hendrick, 1977. "Mathematical Programming and the Location of Fire Companies for the Denver Fire Department," Operations Research, INFORMS, vol. 25(4), pages 563-578, August.
    5. 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.
    6. 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, , vol. 24(12), pages 1769-1779, December.
    7. repec:cor:louvrp:-747 is not listed on IDEAS
    8. 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.
    9. 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, March.
    10. Grubesic, Tony H., 2008. "Zip codes and spatial analysis: Problems and prospects," Socio-Economic Planning Sciences, Elsevier, vol. 42(2), pages 129-149, June.
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    1. Degel, Dirk & Wiesche, Lara & Rachuba, Sebastian & Werners, Brigitte, 2014. "Reorganizing an existing volunteer fire station network in Germany," Socio-Economic Planning Sciences, Elsevier, vol. 48(2), pages 149-157.
    2. Chaudhary, Pandav & Chhetri, Sachin Kumar & Joshi, Kiran Man & Shrestha, Basanta Man & Kayastha, Prabin, 2016. "Application of an Analytic Hierarchy Process (AHP) in the GIS interface for suitable fire site selection: A case study from Kathmandu Metropolitan City, Nepal," Socio-Economic Planning Sciences, Elsevier, vol. 53(C), pages 60-71.
    3. Bashar Bashir & Abdullah Alsalman & Arsalan Ahmed Othman & Ahmed K. Obaid & Hussein Bashir, 2021. "New Approach to Selecting Civil Defense Centers in Al-Riyadh City (KSA) Based on Multi-Criteria Decision Analysis and GIS," Land, MDPI, vol. 10(11), pages 1-19, October.
    4. Dmitrii Usanov & G.A. Guido Legemaate & Peter M. van de Ven & Rob D. van der Mei, 2019. "Fire truck relocation during major incidents," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(2), pages 105-122, March.
    5. KC, Kiran & Corcoran, Jonathan & Chhetri, Prem, 2020. "Measuring the spatial accessibility to fire stations using enhanced floating catchment method," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    6. Wenhao Yu & Yujie Chen & Menglin Guan, 2021. "Hierarchical siting of macro fire station and micro fire station," Environment and Planning B, , vol. 48(7), pages 1972-1988, September.
    7. Zeinal Hamadani, Ali & Abouei Ardakan, Mostafa & Rezvan, Taghi & Honarmandian, Mohammad Mehran, 2013. "Location-allocation problem for intra-transportation system in a big company by using meta-heuristic algorithm," Socio-Economic Planning Sciences, Elsevier, vol. 47(4), pages 309-317.
    8. Md Shahab Uddin & Pennung Warnitchai, 2020. "Decision support for infrastructure planning: a comprehensive location–allocation model for fire station in complex urban system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 1475-1496, July.
    9. Ibarra-Rojas, O.J. & Ozuna, L. & López-Piñón, D., 2020. "The maximal covering location problem with accessibility indicators," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    10. Nyimbili, Penjani Hopkins & Erden, Turan, 2020. "GIS-based fuzzy multi-criteria approach for optimal site selection of fire stations in Istanbul, Turkey," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    11. Fonseca Morello, Thiago & Marchetti Ramos, Rossano & O. Anderson, Liana & Owen, Nathan & Rosan, Thais Michele & Steil, Lara, 2020. "Predicting fires for policy making: Improving accuracy of fire brigade allocation in the Brazilian Amazon," Ecological Economics, Elsevier, vol. 169(C).
    12. Pieter L. van den Berg & Guido A. G. Legemaate & Rob D. van der Mei, 2017. "Increasing the Responsiveness of Firefighter Services by Relocating Base Stations in Amsterdam," Interfaces, INFORMS, vol. 47(4), pages 352-361, August.

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    More about this item

    Keywords

    Location–allocation; GIS; Fire stations; Belgium;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock

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