Optimization of Security Infrastructure in Post-war Reconstruction Programs Using Modern Geographic Information Systems (gis)
Year: 2025
Type: article
Abstract: Introduction. The article substantiates the peculiarities of managing the configuration of fire and rescue units and highlights the relevance of optimizing their deployment in the post-war period to restore the functionality of security infrastructure. Based on an analysis of the current state of theory and practice, it has been established that the effective deployment of fire and rescue units requires the use of geographic information systems (GIS) for spatial analysis of territories, risk assessment, resource constraints, and infrastructure accessibility. In the context of limited funding, demographic shifts, and damage to the transport network, the project-based management of fire and rescue units necessitates a systematic approach, the application of modern management tools, and the integration of spatial data into the decision-making process for developing security infrastructure at the level of administrative districts and communities. Purpose. To substantiate an approach and develop a method for optimizing the location of fire and rescue units in the post-war period using modern geographic information systems. The proposed method aims to enhance the efficiency of management decision-making, ensure rational resource planning, minimize emergency response time, and improve the safety of critical infrastructure facilities under conditions of limited resources and a dynamic planning environment.Methods. To examine the post-war conditions of the territories within selected administrative districts, a statistical evaluation method was applied to assess socio-demographic and infrastructure characteristics. This approach made it possible to identify key factors influencing the project environment. A systematic approach, geographic information analysis, territorial coverage modeling, and optimization techniques for the placement of fire and rescue units were employed. Additionally, methods of analysis and synthesis were used to determine the main variables shaping the system structure for deploying fire and rescue units in specific areas. The proposed tools are based on modern information technologies. In particular, geographic information systems (GIS), spatial modeling, and optimization algorithms were applied to support informed management decisions regarding the location of fire and rescue units during the post-war recovery period.Results. A method for optimizing the location of fire and rescue units within a given administrative territory has been developed. It consists of a systematic implementation of ten stages and utilizes geographic information systems (GIS) based on the OpenStreetMap (OSM) framework. The approach accounts for the topography of the area and existing damage to infrastructure facilities (such as roads, bridges, and buildings), which affects travel time to emergency scenes and the effectiveness of territorial deployment.Fire and emergency risk forecasting serves as the basis for modeling possible location scenarios. The optimization process involves clustering risk zones, analyzing the transport network to assess accessibility, and applying algorithms to minimize the response time of fire and rescue units to emergencies.Conclusions and specific proposals of the author. The study confirms the relevance and necessity of implementing projects aimed at establishing fire and rescue units, as well as the urgency of optimizing their deployment in the post-war period to restore the functionality of security infrastructure.Based on the research, a method was developed that utilizes modern geographic information systems (GIS) to provide accurate, up-to-date spatial data. This enables comprehensive analysis of a given administrative territory and supports informed decision-making regarding the optimal placement of fire and rescue units. The method considers available resources, demographic trends, the condition of transport infrastructure, and risks associated with a dynamic project environment.The use of analytical tools based on the OpenStreetMap (OSM) framework allows the territorial deployment of fire and rescue units to be coordinated with ongoing changes in the project environment.Further research is recommended to apply the proposed method in various administrative areas affected by military operations. This will help to substantiate practical recommendations for project managers regarding the configuration and planning of fire and rescue services.The author also proposes integrating computational intelligence tools into the planning and implementation processes to enhance adaptability in dynamic and resource-constrained conditions.
Institution: Lviv State University of Life Safety
Language: English
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $16
OpenAlex ID: W4411705281