Real Estate Assessment of Suburban Areas in the Troitsk Administrative District of Moscow

The article examines the process of suburbanization in the Troitsk Administrative District of Moscow. The authors put forward and test a hypothesis regarding the use of the temporal composition criterion for decision-making on the need for the development of suburbanized territories. The aim of the work is to determine the coefficients of economic attractiveness of suburbanized territories by assessing the real estate market based on the calculated local densities of suburbanized territories. The research is based on experimental methodological and urban planning approbations using graph-analytical, iterative, and indicative methods, as well as geoinformation modeling. The methodology includes collecting and processing of data on market offers from open sources (Avito, Cian, etc.), verification of territories based on the availability of free areas, and the calculation of coefficients of economic attractiveness of territories using actual and calculated indicators. Out of a pool of 2,656 prospective suburban territories, some areas were selected and verified based on their high suitability for integrated development and cumulative demand potential. During the study, a mathematical dependence between the calculated and actual coefficients of economic attractiveness was revealed, described by a quadratic function and reflected in the market assessment graph of prospective suburbanized territories. The scheme of economically desired territories demonstrated their attraction towards the main transport highways and railway lines of the Troitsk Administrative District. The proposed model accepts transition from standard density regulations to the consideration of the unique features of territories. The results of the work can be used to determine the compliance of project implementation with the planned scenario, for the effective distribution of land resources, and for the identification of territorial reserves for involvement in the city»s economic turnover. Further steps in the multifactor study are defined.