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Finding the Adequate Location Scenario After the Merger of Fire Brigades Thanks to Multiple Criteria Decision Analysis Methods

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper addresses the issue of selecting a suitable location for a fire station in canton of Fribourg, as a result of a fire brigades’ merger, by applying Multiple Criteria Decision Analysis (MCDA) methods. Solving the problem of determining fire station locations through various methods has been analyzed in-depth by researchers. However, a different approach, based on application of ELECTRE I and ELECTRE II methods is advanced in this paper. The selection of the most suitable fire station site is obtained by applying the designated methods to five distinctive alternatives (called scenarios), taking into consideration the relatively limited information and specifics, and the extensive number of relevant criteria that summed up to sixty-one. Taking the merger of the three local fire departments as an example, the proposed methods for selecting a suitable location for the fire station demonstrate and justify the reason behind this choice. Research shows that the applied methods have been proven to be useful and powerful tools that exhibited acceptable levels of consistency when selecting the best project. The main finding is that one scenario in particular proved to be preferred over the others and most suitable in determining the fire station location.
Rocznik
Strony
69--88
Opis fizyczny
Bibliogr. 35 poz., rys., tab.
Twórcy
autor
  • University of Fribourg, DIUF - DS&OR, Perolles 90, 1700 Fribourg, Switzerland
  • University of Fribourg, DIUF - DS&OR, Perolles 90, 1700 Fribourg, Switzerland
autor
  • University of Fribourg, DIUF - DS&OR, Perolles 90, 1700 Fribourg, Switzerland
autor
  • University of Fribourg, DIUF - DS&OR, Perolles 90, 1700 Fribourg, Switzerland
Bibliografia
  • [1] Almeida-Dias J., Figueira J., Roy B., ELECTRE Tri-C: A multiple criteria sorting method based on characteristic reference actions, European Journal of Operational Research, 204, 3, 2010, 565-580.
  • [2] Almeida-Dias J., Figueira J., Roy B., A multiple criteria sorting method where each category is characterized by several reference actions: The ELECTRE TRI-nC method, European Journal of Operational Research, 217, 3, 2012, 567-579.
  • [3] Badri M.A., Mortagy A.K., Alsayed A., A multi-objective model for locating fire stations, European Journal of Operational Research, 110, 2, 1998, 243-260.
  • [4] Belton V., Stewart T., Multiple criteria decision analysis: An integrated approach, Kluwer Academic Publisher, Boston, 2002.
  • [5] Chevalier P., Thomas I., Geraets D., Goetghebeur E., Janssens O., Peeters D., Plastria F., Locating fire stations. An integrated approach for Belgium, Socio-Economic Planning Sciences, 46, 2, 2012, 173-182.
  • [6] Dashti Wahab S., Hawta Khayyat A., Modeling The Suitability Analysis To Establish New Fire Stations In Erbil City Using The Analytic Hierarchy Process And Geographic Information Systems, Journal of Remote Sensing and GIS, 2, 1, 2014.
  • [7] Degel D., Rachuba S., Werners B., Wiesche L., Multi-Criteria Covering-Based Location of Volunteer Fire Departments, Ruhr-University Bochum (RUB) Working Paper 2012-01, [Available at SSRN: https://ssrn.com/abstract=2243608].
  • [8] Dempsey C., What is GIS?, 2017, [Available online https://www.gislounge.com/what-is- gis/].
  • [9] Di Matteo U., Pezzimenti P.M., Garcia D.A., Methodological Proposal for Optimal Location of Emergency Operation Centers through Multi-Criteria Approach, MDPI Sustainability, 16, 8, 2016, 50.
  • [10] Erden T., Coşkun M.Z., Multi-criteria site selection for fire services. The interaction with analytic hierarchy process and geographic information systems, Natural Hazards Earth System Sciences, 10, 10, 2010, 2127-2134.
  • [11] ESRI, GIS for Fire Station Locations and Response Protocol, 2007, [Available online https://www.esri.com/library/whitepapers/pdfs/gis-for-fire.pdf].
  • [12] Etat de Fribourg, Annuaire statistique du canton de Fribourg - Edition 2017, [Available online: http://www.fr.ch/sstat/files/pdf90/annuaire_internet_2017.pdf].
  • [13] Figueira J., Greco S., Ehrgott M., Multiple Criteria Decision Analysis: State of the Art Surveys, New York, Springer Science + Business Media, Inc., 2005.
  • [14] Goepel K., What is AHP?, 2013, [Available online https://bpmsg.com/academic/ahp.php].
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  • [16] Kanellakos S., Fire Station Location Study - Phase 1. Ottawa Fire Services, 2013, [Available online: http://app06.ottawa.ca/calendar/ottawa/citycouncil/cpsc/2008/0918/ACS2008 -CPS-OFS-0001.htm].
  • [17] Kolesar P., Walker W.E., An Algorithm for the Dynamic Relocation of Fire Companies, Operations Research, 22, 2, 1974, 249-274.
  • [18] Lincoln Fire & Rescue, Station Optimization Study, 2012, [Available online: https://lincoln.ne.gov/city/fire/pdf/relocate/optimum.pdf].
  • [19] Maystre L., Pictet J., Simos J., Les Méthodes Multicritéres ELECTRE, Presses Polytechniques et Universitaires Romandes, Lausanne, 1994.
  • [20] Murray A.T., Optimising the spatial location of urban fire stations, Fire Safety Journal, 62, 2013, 64-71.
  • [21] Nourozi S.A., Shariati A.R., Study of Locating Fire Stations using Linear Assignment Method: Case Study Maku City, Global Journal of Human Social Science Research, 13, 3-H, 2013.
  • [22] Richard D., La localisation des services d’incendie dans la province de Luxembourg: un rapport préliminaire, Recherches Economiques de Louvrain, 48, 3-4, 1982, 219-246.
  • [23] Roy B., Classement et choix en presence de points de vue multiples (la méthode ELECTRE), La Revue d’Informatique et de Recherche Operationnelle (RIRO), 8, 1968, 57-75.
  • [24] Roy B., Bertier P., La methode ELECTRE II, Note de travail 142, SEMA-METRA, Metra-International, 1971.
  • [25] Roy B., ELECTRE III: Un algorithme de classements fonde sur une representation floue des preferences en présence de critéres multiples, Cahiers du Centre dEtudes de Recherche Operationnelle, 20, 1, 1978, 3-24.
  • [26] Roy B., Hugonnard J.C., Ranking of suburban line extension projects on the Paris metro system by a multicriteria method, Transportation Research Part A: General, 16, 4, 1982, 301-312.
  • [27] Roy B., Skalka J.-M., ELECTRE Is: aspects méthodologiques et guide d’utilisation, Document du LAMSADE, 30, Université Paris-Dauphine, Paris, France, 1984.
  • [28] Roy B., Bouyssou D., Aide multicritère a la décision: méthodes et cas, Economica, Paris, 1993.
  • [29] Schreuder J.A.M., Application of a location model to fire stations in Rotterdam, European Journal of Operational Research, 6, 2, 1981, 212-219.
  • [30] Şen A., Ӧnden İ., Gökgöz T., Şen C., A GIS Approach To Fire Station Location Selection, Conference: GI4DM 2011 GeoInformation For Disaster Management, Antalya, Turkey, 2011.
  • [31] Voller H., Curtin T., Spatial Analysis Methodology for the Relocation of MFB Fire Stations, Proceedings of the Surveying and Spatial Sciences Conference 2011 (SSSC2011), 21-25 November 2011, Wellington, New Zealand, 2011.
  • [32] Wei Y., Aide multicritère á la dècision dans le cadre de la problématique du tri: concepts, méthodes et applications, Thése de doctorat, Université Paris-Dauphine, Paris, France, 1992.
  • [33] Wei L., Li H., Lui Q., Chen J., Cui Y., Study and implementation of fire sites planning based on GIS and AHP, Procedia Engineering, 11, 2011, 486-495.
  • [34] Yang L., Jones B.F., Yang S.-H., A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms, European Journal of Operational Research, 181, 2, 2007, 903-915.
  • [35] Zopounidis C., Pardalos P.M., Handbook of multicriteria analysis, Dordrecht, London: Springer (APOP, 103), 2010.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d02f388c-8866-4818-891b-474271c01f47
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