INFORMATION AND ANALYTICAL PROVISION OF URBAN DEVELOPMENT OF TERRITORIAL COMMUNITIES AND AGGLOMERATIONS

The rapid pace of urbanization, climate change, and economic challenges have heightened the importance of effective urban management, especially in territorial communities and agglomerations. Ensuring sustainable development requires advanced information-analytical tools for decision-making processes. Current systems of urban planning often suffer from inadequate integration of data and limited use of modern analytical technologies, which constrains effective governance and planning. The proposed solutions can enhance the quality of urban management by providing comprehensive, timely, and reliable data. This will facilitate more accurate forecasts, strategic planning, and the sustainable development of territories. The study aims to develop and test a model for an integrated system of information-analytical support to enhance urban development management for territorial communities and agglomerations. The research involved analyzing current methods and tools for data collection, processing, and analysis; developing a model for the integrated system; and assessing its applicability through practical scenarios. The object of the study is the urban development processes of territorial communities and agglomerations, while the subject is the information-analytical support system used in urban management. The study employed a combination of qualitative and quantitative analysis, geospatial modeling, data integration techniques, and predictive modeling using machine learning algorithms. The findings highlight the effectiveness of a comprehensive approach that integrates various data sources and technologies, offering valuable insights for improving decision-making and resource allocation. By leveraging diverse datasets, this approach enables more accurate and timely responses to urban challenges, fostering sustainable development. Future research should focus on further refining the model, enhancing data standardization, and ensuring security and accessibility to promote efficient urban management practices in Ukraine and beyond. Additionally, it will be essential to explore the potential for scalability, adapting the model to different urban contexts while maintaining flexibility and responsiveness to local needs. Collaboration between government, academia, and the private sector will be key to driving this innovation forward