Cities are a complex social institution. A special feature of cities is the development of engineering and transport infrastructure. In this article, to assess the state of the urban agglomeration, the transport system of the city is considered as an indicator of social comfort. As part of the support, control and management of the urban environment, administrative authorities use information technologies that are implemented using geographical information systems (GIS). These GIS take into account all indicators of social comfort, which are based on spatial data about the urban environment. From this, we present the concept of an urban environment data management model for public authorities. The model is based on geoinformation systems. Since the geoinformation analysis allows you to create thematic maps of the urban environment with their subsequent assessment and calculation of indicators of social comfort. For this purpose, an analysis algorithm is presented for the main indicators of transport infrastructure assessment. Thus, this study provides an opportunity to assess the state of the city model and set goals for the development of urban transport networks to increase the level of social comfort of the population.

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The article presents the generalized results obtained from the analysis of oil pollution of surface waters in the fields of the Far North. The research considered the administrative territorial division of the Russian Federation, the territory of the Khanty-Mansi Autonomous Okrug -Yugra (KhMAO). The results of the study performed on the basis of field data on sampling for the year were presented. The influence of the hydrocarbon content in surface waters and snow cover was assessed. The aim of the work was to consider the snow cover as a natural source of pollutants, affecting the accumulation in surface waters and snow cover. The results obtained can be used for subsequent observations of snow cover and surface waters. The data obtained can serve as a basis for planning further research and developing the solutions for environmental protection in the Far North. The analysis of the dependencies between the indicators of hydrocarbon pollution in surface waters and snow cover was carried out using the methods of correlation and parametric multivariate regression analysis. The methods of geoinformation analysis and GIS technologies were also used in the work. It was revealed that the problem of the state of snow cover and its role as an indicator of atmospheric and soil pollution require further research. On the one hand, the snow cover detains metals, and polluted soil areas are formed locally, on the other hand, after the snow melts, the pollutants remaining on the surface with surface runoff enter rivers and are carried by the wind for quite long distances.