Journal of Rescue Relief

fa Spatial Analysis of Rescue and Relief Bases in Alborz Province in order to Reduce Hazards Spatial Analysis of Rescue and Relief Bases in Alborz Province in order to Reduce Hazards شیوه های نوین آموزشی در مدیریت حوادث وسوانح New educational methods in the management of crisis and disasters مطالعه موردی Case Study INTRODUCTION: The occurrence of a huge number of road accidents in Iran makes it necessary to pay more attention than before to the rescue and relief sector, the correct locating of road rescue and relief bases and its development and equipment, especially in Alborz province and topological conditions, geographical diversity and its tourism characteristics. Therefore, in this research, in order to reduce the hazards, the spatial analysis of rescue and relief bases in this province was conducted. METHODS: In this research, in order to optimize the allocation and locating the rescue and relief centers, the intended indicators were extracted from the Red Crescent Society instructions and after preparing the required data, the weight of each index was extracted and optimized in PSO algorithm in MATLAB environment using AHP hierarchical analysis and OWA weighted average. The obtained weights were applied in the corresponding layers and the optimal points were suggested for the development of the rescue and relief network of Alborz province. FINDINGS: Finally,  prioritizing the development of rescue and relief centers in the province  was suggested after evaluating the accident-prone state of the province in relation to the existing and proposed centers as well as the development plans of the province CONCLUSION: The results showed that the use of PSO algorithm can have acceptable results in the field of optimal locating of rescue and relief centers.   <div dir="ltr" style="text-align: justify;">INTRODUCTION: The occurrence of a huge number of road accidents in Iran makes it necessary to pay more attention than before to the rescue and relief sector, the correct locating of road rescue and relief bases and its development and equipment, especially in Alborz province and topological conditions, geographical diversity and its tourism characteristics. Therefore, in this research, in order to reduce the hazards, the spatial analysis of rescue and relief bases in this province was conducted. METHODS: In this research, in order to optimize the allocation and locating the rescue and relief centers, the intended indicators were extracted from the Red Crescent Society instructions and after preparing the required data, the weight of each index was extracted and optimized in PSO algorithm in MATLAB environment using AHP hierarchical analysis and OWA weighted average. The obtained weights were applied in the corresponding layers and the optimal points were suggested for the development of the rescue and relief network of Alborz province. FINDINGS: Finally,  prioritizing the development of rescue and relief centers in the province  was suggested after evaluating the accident-prone state of the province in relation to the existing and proposed centers as well as the development plans of the province CONCLUSION: The results showed that the use of PSO algorithm can have acceptable results in the field of optimal locating of rescue and relief centers.</div> : Alborz, Optimal locating, Particle swarm optimization algorithm, Rescue and Relief bases Alborz, Optimal locating, Particle swarm optimization algorithm, Rescue and Relief bases 191 203 http://jorar.ir/browse.php?a_code=A-10-808-2&slc_lang=fa&sid=1 Bahareh Sadat Mousavi 100319475328460013470 100319475328460013470 No Doctoral student of Geographic Information System and Remote Sensing, Faculty of Geography, University of Tehran, Tehran, Iran Ebrahim Jahangir 100319475328460013471 0009-0006-1799-5894 No Doctoral student of Geographic Information System and Remote Sensing, Faculty of Geography, University of Tehran, Tehran, Iran Najmeh Neysani Samani 100319475328460013472 100319475328460013472 Yes Faculty Member of Geography, University of Tehran, Tehran, Iran Meysam Argany 100319475328460013473 100319475328460013473 No Faculty Member of Geography, University of Tehran, Tehran, Iran