Optimization Model for Fire Station Location Based on GIS and Python:A Case Study in North Cyprus
In this paper,the location selection process related to fire stations in Famagusta city is enhanced by applying Quantum Geographic Information Systems (QGIS) and Python programming language.This procedure leads to obtaining the optimum emergency service location based on the minimization of response time.This study aims to commence service coverage modeling in a consistent demand region,with road availability considerations.In addition,this study focuses on the capability of GIS to create service areas by means of the travel time regions in a facility location model.Another purpose of this research is to maximize the overall service area of the determined number of facilities and to state the capability of GIS for establishing the suitable service areas of fire stations in Famagusta city so as to achievie a maximal overall service area from a specific fire station facility to other locations.The best location for only one fire station is determined which is placed around the signalized intersection joining Mustafa Kemal Boulevard and Top~ular Boulevard in Famagusta (node 230).
Famagusta city Fire station location Geographic Information System Optimization model Python
Mahdi Kazemi Mehmet M Kunt Iman Aghayan Reza Jalali Larijani
Department of Civil Engineering, Eastern Mediterranean University, Gazimagusa-North Cyprus,via Mersin 10, Turkey
国际会议
济南
英文
1059-1064
2013-05-18（万方平台首次上网日期，不代表论文的发表时间）