Assessment of the Socio-Ecological Comfort of the Urban Environment Using a Geoinformation Approach

Abstract

The purpose is to study and assess the living comfort of the population in an urbanized area, taking into account the level of development of social infrastructure using geoinformation analysis methods. Materials and methods. The assessment of the comfort of the urban environment is based on the approved method ology of the Ministry of Construction of Russia. For the analysis, a subsystem of indicators responsible for social infra structure was considered. A set of methods, technologies, and tools that allow for the study of spatial objects, phenomena, and processes has been used. In addition, methods of system analysis and mathematical modeling were used to assess the impact of various factors on the system. For spatial analysis, data on the social infrastructure facilities of the city of Ros tov-on-Don were downloaded from the websites of the relevant ministries and departments of the Rostov Region, as well as the regional information system "Geoinformation System of the Rostov Region." The base operational layer is the layer with the division of the city of Rostov-on-Don into districts. Results and discussion. All microdistricts of the city were divided into the following groups: 1) the group with a high rating (not signifi cantly diff erent from the optimal criterion); 2) the group with a rating above average, in which the scores are close to category 1; 3) the group with an average level and 4) the group with a low level of comfort. The map shows the main clusters of increased comfort, which form the main centres of attraction in the city. Conclusion. An author's approach to assessing the comfort of the urban environment in Rostov-on-Don is presented, which allows for assessing the level of city comfort based on the use of geoinformation analysis methods and Earth re mote sensing data. An analysis of the model for ranking microdistricts by living comfort levels, taking into account social infrastructure, was carried out based on the "Search for Similarity" method, which made it possible to identify the main attraction zones in the urbanized territory.