Analysis of passenger transportation quality in Sevastopol

Background. The priority tasks for improving the quality of services in the field of transport, the main problems associated with the organization of route transport and road traffic in the city of Sevastopol are considered. The quality of urban passenger transportation after optimization of the route network in Sevastopol is analyzed. The research considers specific features of Sevastopol, such as mountainous relief, narrow streets of historical buildings, uneven distribution of places of attraction and passenger flows, as well as unstable weather conditions. These factors significantly complicate the process of route network optimization and need to be taken into account in the development of any changes. In particular, we analyze the experience of implementing the system of “seamless” transfers, identifying both its positive sides (e.g., reducing duplication on certain sections) and negative consequences (increased travel time, reduced convenience for passengers).

The work is based on official statistics, the results of the route network analysis, as well as on the study of public opinion expressed in passenger feedback and complaints. Based on the obtained data, the study concludes that a more comprehensive approach to the optimization of the transport system of Sevastopol is needed, which should take into account not only economic indicators, but also the level of passenger satisfaction with the quality of services provided. The conclusion offers recommendations for further improvement of the route network aimed at increasing its efficiency and convenience for the population.

Purpose - to analyze the quality of passenger transport in Sevastopol, assess the effectiveness of measures taken to optimize the route network, and determine the necessity of further adjustments to the city's transport system, taking into account its specific characteristics.

Materials and methods. The study used a systematic approach and general scientific methods - statistical, comparative analysis and logical generalizations. The article is based on statistical and periodic materials.

Results. The research employed a systems approach and general scientific methods – statistical analysis, comparative analysis, and logical generalization. The article is based on statistical and periodical data.