Аннотация
The development of the city's transport and logistics infrastructure is associated with many problematic issues, such as a decrease in the quality of life of the population, insufficient connectivity of territories, uneven intensity of traffic flows, and ecological impact. The article presents theoretical and practical foundations for improving the city's transport and logistics infrastructure by using graph theory method. The primary results were obtained by dividing the city's territory into meso-districts, determining the poles and vectors of the city's meso-district graph, their territorial placement and connectivity with other districts, considering the availability and provision of industrial, social, institutional and environmental infrastructure. For this purpose, based on expert assessments and sample data from infrastructure facilities, the indices of meso-district congestion by enterprises and institutions were determined. Based on statistical data, the contribution of the studied indicators to the overall polarity of the city's meso-districts was determined. The results allowed us to determine the most problematic meso-districts in the city, to identify the directions of logistics flows in the city. The data obtained allowed us to determine the directions of development of the transport and logistics infrastructure (TLI) in the city. In addition, the polarity of the graph of meso-districts of the city characterizes the state of traffic jams on the roads of meso-districts and the impact on the environment, which makes it possible to adjust when planning the development of the TLI of the city. The proposed methodological approach and the results of the study allow making scientifically based decisions in the formation and development of TLI. The study reveals the practical prospects for using this methodological approach in developing a concept for the development of TLI in any large city. The results provide valuable information for stakeholders, policy makers, local authorities and state bodies to implement specific actions.