Abstract
The digital transformation of the city management process is fundamentally changing the way cities work, increasing efficiency, sustainability, and the quality of life of the population. Digital technologies are important for the further transformation of cities, increasing innovation and global competitiveness. To improve the methods for assessing digital processes, a multivariate econometric regression model was developed to assess the impact of urban economic development. This allows us to determine the characteristics of the impact on urban planning, as well as identify key factors. Foreign and domestic experiences aimed at urban development are based on reliable data, the results of which are of practical importance for effective urban planning. Based on the SWOT analysis associated with the research initiatives, the possibilities of introducing digital technologies in cities were studied. Based on the research conducted, recommendations were developed to optimize the city management process. Emphasis is placed on data protection, inclusiveness, and the need to attract investments. The main conclusions show that digital technologies streamline urban processes, enable data-based decision-making, and improve the quality of public services. The importance of the research results lies in the possibility of practical implementation of the effectiveness of urban management within the framework of digital transformation.