Optimum location and amount of new Fire Stations based on Geographic Information System and Analytic Hierarchy Methods

Carlos D'Brot, Wilfredo Bravo, Victor Arana

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this study the Geographic Information System (GIS) method and the Analytical Hierarchical Process (AHP) are combined in order to present a methodology for locating fire stations in cities. Initially, we collect the complete technical information and thus generate a statistical data, from which we derive the attributes of Fire Stations. This methodology evaluates the efficiency of different proposals based on the response time restriction variable, in combination with human perception and the need and experience of firefighters, academics and vulnerable population. The main result is an operational tool that defines the locations and number of stations and the choice of the best alternative considering multiple criteria.

Original languageEnglish
Title of host publication2019 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2019 - Conference Proceedings
EditorsMonica Andrea Rico Martinez
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728147468
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event2019 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2019 - 5th International Conference on Innovation and Trends in Engineering, CONIITI 2019 - Bogota, Colombia
Duration: 2 Oct 20194 Oct 2019

Publication series

Name2019 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2019 - Conference Proceedings

Conference

Conference2019 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2019 - 5th International Conference on Innovation and Trends in Engineering, CONIITI 2019
Country/TerritoryColombia
CityBogota
Period2/10/194/10/19

Keywords

  • AHP
  • fire stations
  • GIS
  • multiple criteria decision making
  • optimal location
  • response time

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