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Locating fire stations: an integrated approach for Belgium

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  • CHEVALIER, Philippe
  • THOMAS, Isabelle
  • GERAETS, David
  • GOETGHEBEUR, Els

Abstract

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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  • CHEVALIER, Philippe & THOMAS, Isabelle & GERAETS, David & GOETGHEBEUR, Els, 2011. "Locating fire stations: an integrated approach for Belgium," LIDAM Reprints CORE 2390, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvrp:2390
    DOI: 10.1016/j.seps.2012.02.003
    Note: In : Revue Economique, 62(4), 765-772, 2011
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    Cited by:

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    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    9. 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).
    10. 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.
    11. 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.
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    More about this item

    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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