METHODOLOGYCAL APPROACH TO EMPIRICAL ANALYSIS OF URBAN INFRASTRUCTURE SUSTAINABILITY DETERMINANTS
Abstract
In the context of rapid urbanization and global environmental challenges, the issue of sustainable urban development is critical. This article presents a comprehensive methodology to identify empirical determinants of urban infrastructure sustainability. The research proposes a nine-stage algorithm based on a balanced panel data set covering seven European cities (Stockholm, Helsinki, Zurich, Milan, Prague, Brussels, and Kyiv) from 2015 to 2020. The analysis integrates 56 infrastructure indicators grouped into 11 functional components. Statistical methods include Pearson correlation analysis and significance verification using Student’s t-test. Findings identify key sustainability drivers and establish 12 practical management levers for municipal policy. This framework enables local governments to convert theoretical sustainability goals into measurable Key Performance Indicators (KPIs) and evidence-based investment priorities.
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