Public transport is not only an element of a city ensuring the territorial integrity, but also a factor that significantly affects the quality of the urban environment. Improvement of the public transport system and optimization its types make it possible to rebuild the urban space, providing territories for public, recreational and other functions of the city. The transport infrastructure in the urban environment without these functions results in negative consequences.The aim of the work is to identify the advanced trends in the organization of the public transport system based on the experience of cities with a high level of urban comfort.It is shown that without the interaction with external and internal components of the urban and transport systems, the infrastructure of public transport cannot be considered, since transport becomes a competitor for land resources for pedestrian, cycling infrastructure and landscaping. It is found that the optimization of the transport system must be oriented towards the accessibility of urban areas at any time, expanding pedestrian and green areas and reducing the negative impact on the urban environment.

The aim of the work is to analyze the "Smart City" model, including reasons of its development; the concept development; the transition of the "Smart City" model to the Smart City Project in Russia; identify the Project content.   Methodology: The urban planning model "Smart City" is one of the ways to improve the efficiency of territory management in large cities. Research is based on the collection and analysis of the appropriate normative, theoretical and practical documents.   Research findings: In practice and within the framework of Russian legal regulation, this model is determined by the Smart City Project of the Ministry of Construction of the Russian Federation. The Project concepts of digitalization do not fully meet the need for the development of a large city. On the one hand, the project concerns the sphere of advertising high-tech goods and services, and on the other, it is a new urban development model. The problem lies in the duality of the definition of the smart city concept and urban planning technologies. Practical implications: The proposed definition of the Smart City Project is a set of ideas and approaches allowing to generate a strategy of urban development based on the parameters of the urban environment, including the prediction of changes in these parameters. In this case, the Project considers the largest number of quality parameters of the urban environment, using the economy analysis, sociological and other data. Strictly technical re-equipment of urban infrastructure is included in the Project.

Purpose: Identification of the correlation between service facilities, research and production zone of Russian science cities.Research findings: Based on the difference in the urban development, calculations include individual objects, taking into account the number of floors, rather than functional zones. The cities of Protvino, Pushchino, Chernogolovka, Fryazino, Troitsk and Koltsovo are analyzed; the population can be compared with the estimated number of new scientific towns. Despite a significant difference in the size of urban areas and the development of the research and production base, these science cities have a close ratio of housing, service facilities and research and production areas, i.e., 60, 10 and 30 %, respectively. The basic layout of science campuses does not change, while economic, demographic and scientific development is observed.Practical implication: The detected correlation can be called rational and used at the initial stage of planning a new science city.