Management of quality for planning of city passenger transportation systems

Problem. The article addresses the critical issue of enhancing the quality of urban passenger transport systems (UPTS) at the planning stage. Achieving this goal requires the creation of a comprehensive quantitative mathematical model capable of optimizing the system's quality based on predefined objectives. This optimization involves the development of quantitative indicators for the entire system and its components, which serve as a foundation for decision-making. Goal. The study aims to improve UPTS functioning by focusing on key priority attributes, such as flexibility, ensuring the ability to swiftly reorganize traffic routes and redistribute passenger flows; reliability, providing confidence in delivering passengers with minimal deviations from schedules; ergonomics and safety, emphasizing passenger comfort and protection; and economic properties, addressing cost-efficiency and operational sustainability. Methodology. The research utilizes theoretical-analytical methods to create a structured framework for planning UPTS. Mathematical modeling forms the core of the methodology, enabling detailed evaluation and optimization of critical system attributes. Results. The study provides insights into the optimization of UPTS functioning, demonstrating improved performance through targeted planning and adjustment of quantitative quality indicators. The integration of mathematical modeling into planning allows identifying inefficiencies and addressing them systematically. Originality. The novelty of the research lies in its integrated and systematic approach to defining and quantifying quality indicators for UPTS. Unlike traditional evaluations that often emphasize comfort, this study introduces a comprehensive model encompassing various attributes, including flexibility, reliability, and economic feasibility. Practical value. The proposed model allows practitioners to use empirical data and technical specifications of system components to calculate key performance indicators. This approach supports more informed decision-making and targeted improvements in urban transport planning.