GIS FOR URBAN SAFETY: CRIME ANALYSIS AND PREVENTION STRATEGIES, EMERGENCY MANAGEMENT, TRAFFIC FLOW MODELING, AND ROAD TRAFFIC OPTIMIZATION

The study explores the application of geographic information systems (GIS) to enhance urban safety. The research focuses on the analysis of crime, emergency management, and traffic flow optimization using GIS. Through spatial analysis, crime hotspots are identified, police deployment scenarios are modeled, and measures for improving traffic management are developed. GIS enables government agencies and law enforcement to make informed decisions through spatial analysis, which helps in planning patrols, managing resources during crises, and reducing road congestion. The challenges related to limited data accessibility and relevance, privacy issues, and the need for improved interagency coordination are considered separately. Synchronization of actions and data exchange will significantly reduce response times to emergencies and enhance the level of safety and comfort for the population. The study demonstrates that integrating GIS with other technologies such as artificial intelligence and the Internet of Things (IoT) can significantly improve the efficiency of urban security management. The findings highlight the importance of a comprehensive approach to city safety management, which includes the integration of diverse data from various sources. This allows not only for the analysis of existing threats but also for forecasting future risks and responding swiftly to them. The effective operation of GIS requires investments, institutional changes, and attention to privacy issues, which collectively will ensure the sustainable development of technologies in the fields of management and security. The prospects for GIS technology development open up new possibilities for building «smart» cities with high levels of safety for their inhabitants