Optimizing rescue and relief bases with the approach of improving service coverage on the country's main roads

Iran is a country that has faced all kinds of natural and unnatural accidents throughout history. Due to its vast geographical area, the need to effectively respond to incidents and accidents in the country is considered one of the basic challenges of crisis managers. Planning to minimize the response time is one of the solutions that can be effective in this field due to the preservation of the golden rescue time. In this research, Red Crescent community rescue and relief bases have been evaluated as one of the elements of responding to incidents and accidents that have inherent and legal duties in crisis management, in terms of how to cover based on the optimal response time. In order to achieve the objectives of the research, which is to identify suitable areas for the development of rescue and rescue centers and to determine the functional radius according to the conditions of the region in the axes and the network of different roads and the time of arrival of the rescue centers to the place of danger, from the method of network analysis. and multi-criteria decision making and particle swarm optimization algorithm (PSO) were used. Also, in order to benefit from it as a practical research, all the desired indicators in the instructions for creating a rescue base have been used to optimize the model. The application of spatial restrictions and advantages has been evaluated using the particle swarm optimization algorithm in the main intercity communication network of the country. The results show that the level of roads covered by rescue services has been increased from 33.61% in the current situation to 55.46%.