(КПІ ім. Ігоря Сікорського, 2024) Potuzhnyi, B. V.; Svirsh, V. R.; Kussul, N. M.
This study introduces a unified framework for improving rural infrastructure in Ukraine, combining geospatial data analysis and clustering techniques. By meticulously preparing and validating OpenStreetMap data for over 10 000 villages, we create a reliable foundation for our analysis. Utilizing this validated dataset, we apply advanced clustering to categorize villages by infrastructure quality, highlighting developmental gaps. Our approach merges data validation with an evaluative system to model village infrastructure, offering targeted insights for policy and development strategies. This integrated method provides a way to address infrastructure disparities, enabling data-driven decision-making for rural enhancement. Our findings aim to guide policymakers and development agencies towards strategic interventions, showcasing the potential of combining geospatial analysis with clustering for rural development.