Application of geoinformation systems in the development of the city’s intelligent transport network

Abstract The purpose of the research in this article is to reveal modern approaches in the development of the intelligent transport city’s networks, as a component of the social infrastructure of the modern city. The research carried out by the authors in this direction is relevant in the field regarding the improvement and attractiveness of a modern, digital city. In particular, the authors in the article examine the so-called “sleeping” districts with multi-story buildings. The authors suggest the creation of a high-speed bus transportation system to improve the services provided by public transport. The article uses the ArcGIS geoinformation system and built a geodatabase. These two components together allow you to visualize results for a visual presentation of information and qualitative analysis. The authors use such proprietary developments in the article that it is possible to model various variants of the transport network. The authors conducted research on the example of Kramatorsk, a city of regional importance in the Donetsk region. The article develops and proposes a sequence of stages in the development of a geodatabase and a transport network of high-speed bus transportation. The further direction of research may be related to the accounting of a large number of factors. The authors carried out the work with the help of the ArcGis geoinformation system and the developed geodatabase with the necessary layers and attribute information. The article develops a system of high-speed bus transportation in the city of Kramatorsk with promising routes. Such development will allow further improvement of the social infrastructure of other cities. The principle of preliminary modeling using the developed geodatabase used by the authors will be effective for solving issues related to social infrastructure, so it can be applied to solve similar problems in any city. Thus, the authors’ intellectual analysis of geostatic models of public transport movement on the territory of the city made it possible to find zones and classify them depending on the pedestrian accessibility to stops and compare them with existing transport routes. With the help of geostatistics methods, the article transforms data from a discrete to a continuous form of representation.