Econometric modelling of the relationship between the structural elements of the urban passenger transportation system (the case of Nukus city)

Abstract

In this article, the problem of improving the efficiency of the urban passenger transportation system is analyzed based on econometric modeling using the case of Nukus city. The study evaluates the interrelationship of demographic, infrastructural, organizational, and economic factors that shape passenger flow by applying a multiple regression model. The correlation analysis showed that population density, headway (movement interval), and the number of trips are the main influential factors. The constructed model has a high explanatory power (R² = 0.958), and its statistical significance was confirmed using the F-test. The research findings demonstrate that the use of statistical modeling in transport service planning enhances decision-making efficiency and provides a scientific-practical basis for the optimal management of transport flows. Furthermore, the developed mathematical models can be applied for digital analysis of the transport system, optimization of route networks, and ensuring the competitiveness of public transport.