Authors A. V. Golubev, M. V. Shcherbakov
Month, Year 09, 2017 @en
Index UDC 004.67
Abstract The development of cities is associated with the modernization of the existing network of public transport. Increasing requirements to the quality of the urban environment suggest changes in approaches to solving the problems of urban infrastructure development. The development of the transport system of the city is an important part of public policy, since it significantly affects the quality of life in the city. This is necessary to improve public services, increase business activity, ensure the economic stability of the city, improve the city"s competitiveness. To solve this problem, first of all, it is necessary to take into account the plans for building and development of the city, the laws governing the formation of demand for movement around the city, choose the optimal ways and routes for moving, optimize the number of public transport vehicles, timetables and other factors. Currently, the worldwide collection of data and processing technologies, which are becoming cheaper and cheaper, opens up new opportunities for designers. Mobile operators can receive a huge amount of impersonal data about movement of people in the city. Proceeding from the assumption that a certain person has his own "patterns of displacement", which can be considered as personal transport preferences for displacement. With these data, we can understand the real preferences and needs of people in the urban transport system. This means that it is possible to propose changes in the transport network or even a set of possible alternative options. The problem is how to make a rational choice of the city"s preferred transport network in accordance with: (i) a set of selected quality criteria; (ii) the preferences of decision-makers. For the assessment of the constructed transport network, the following evaluation criteria were used and presented in this paper: (i) the degree of satisfaction of transport demand, (ii) the non-straightness of the transport network, and (iii) its density. In this paper, we propose methods that allow, based on data on the preferences of residents, to formulate, evaluate and modify the scheme of public transport routes.

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Keywords City passenger transport; planning of the transport network; decision-making; preferences of residents; transport correspondence; route planning; geo-distributed data; GIS; eCity.
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