Localización de una nueva Estación de Bomberos mediante un Indicador de Atención de Accidentes en el sector de San Miguel y el uso de optimización matemática

Published in: Industry, Innovation, and Infrastructure for Sustainable Cities and Communities: Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference: July 24-26, 2019
Location of Conference: Montego Bay, Jamaica
Authors: Héctor Mattos Galarza (Pontificia Universidad Católica del Perú, PE)
Wilmer Francisco Guadalupe Aguirre (Pontificia Universidad Católica del Perú, PE)
Jonatán Edward Rojas Polo (Pontificia Universidad Católica del Perú, PE)
Mónica Huayta Durand (Pontificia Universidad Católica del Perú, PE)
Andrea Caballero Castillo (Pontificia Universidad Católica del Perú, PE)
Carlos Trujillo Delgado (Pontificia Universidad Católica del Perú, PE)
(Pontificia Universidad Católica del Perú)
Full Paper: #443


Nowadays, deciding where to place different public service entities, as in the case of Firefighter Stations, has become more difficult because of the inefficiency of the existing methods: the location of the oldest Firefighter Stations has not been adapted to the current urban expansion and the most recent ones have only considered the influence of the frequency of the accidents. In that way, the objective of this article will be to explain and propose a methodology based on an Indicator of Accident Respond according to a restricted area and to the existing Firefighter Stations (further on, INDICADOR), the one that will allow to establish and evaluate potential terrains for the location of the new Firefighter Station. It is also important to notice that, in this particular case, the execution of the method will be limited to one sector of the district of San Miguel in Lima-Peru; however, it adapts to any sector to analyze. For the execution of this methodology, E.W. Dijkstra’s Algorithm, commonly known as The Shortest Route Algorithm, is going to be used in order to define the INDICADOR of each potential terrain which, finally, will determine the location for new Firefighter Station. In the same way, for this article were used programming and analysis software such as MatLab and Visual Studio Code.