Determination of the optimal boundaries of the service area during the investigation of fires based on geoinformation modeling

Modern trends in the consolidation of administrative territorial divisions provide for the reengineering of executive authorities and the creation of a new management structure. This problem is most relevant for law enforcement agencies, since with an increase in the territory of service, there are risks of untimely arrival at the scene of an offense, as well as non-compliance with reasonable deadlines for legal proceedings. Excessively large service areas affect the effectiveness of fire investigation activities, which in many ways leads to negative socio-economic consequences. Therefore, the formation of an optimal law enforcement service area should meet the requirements that allow for a timely and high-quality investigation, thereby increasing the level of crime prevention. In the context of investigations of crimes involving fires (as the most difficult to solve), this task has a strategic aspect, since in the absence of the possibility of prompt arrival, the risks of losing traces of the crime increase, which significantly affects the collection of reliable evidence at the fire site. Therefore, determining the optimal service boundaries for a co-worker, for example, an investigator of the Ministry of Emergency Situations of Russia, will increase the efficiency of the system, optimize costs and ensure the rights and legitimate interests of Russian citizens. The purpose of the article is to develop and propose an algorithm and approach (method) for determining the optimal boundaries of the service area during the investigation of fires. In this study, the concept of using geoinformation modeling in determining optimal service boundaries is proposed. The main criteria and initial data are considered when determining the optimal territories for servicing units during the investigation of fires. The methods of determining the time of prompt arrival at the scene of the fire and the maximum possible removal of an employee by car from the location of the unit are given. The use of the experimental-analytical method in the collection of initial data, as well as the introduction of computer technologies in determining the optimal service areas is proposed. The scientific novelty lies in the fact that the modeling of the optimal service areas of the units of the body of inquiry is based on multifactor criteria and is an integral tool in solving the managerial task of forming an effective structural staffing.