The development of algorithms for solving problems of urban transport system management is an actual scientific and practical task. The absence of socio-economic facilities in the area of urban residents contributes to an increase in the of the cars use intensity. This situation contributes to traffic congestion. The article considers the methodic for assessing the infrastructure deficit for the transport districts of the city. The methodic provides for the development of dynamic maps, which are obtained on the basis of a survey of the city's population throughout the year. The information is generated and structured in the database, and if there is a request, it is processed and displayed as an infographic. For example, on the city map, the objects of interest are indicated by a symbol, pedestrian and transport accessibility to these objects for residents of a particular section of the city is marked in different colors.
Keywords: urban transport system, assessment methodology, questionnaire, data analysis, socio-economic object
The article considers the solution of the scientific and practical problem of reducing the intensity of the use of personal passenger transport. To do this , the search for reserves of urban mobility is carried out . Cities with a population of no more than one million people are considered. It is assumed that the urban public transport system is represented only by bus transport. A practical method of searching for reserves of urban mobility is proposed, in which municipalities, business communities, science, production, and education are supposed to be involved. The proposed solutions are based on logistics methods. Examples of solutions: development of Internet aggregators for renting bicycles and personal mobility equipment, organization of storage facilities for personal mobility equipment, and more. Based on this method, you can create a module for an automated workplace of the transport division specialist of the city administration.
Keywords: urban transport system, urban mobility, smart mobility, mobility reserve, urban logistics