This article discusses the need to transform real estate valuation methods. It is associated with the problems of obtaining unreliable results affecting the subsequent adoption of management decisions. As an important element of land plots assessment, the authors define the Negative Infrastructural Externalities arising from the presence of infrastructure and other regime-forming facilities. These externalities represent the loss of title holders due to the encumbrances arising from the use of land plots. The world community (and the authors as part of it) sees one of the transformation methods in the automation of the evaluation process. Therefore, the purpose of this study is to develop a mechanism of automating the Negative Infrastructural Externalities assessment process in the conditions of a non-existent and weak market activity of land relations. Modern trends dictate the saving of hardware, labor and money resources; in this connection, the methods of Negative Infrastructural Externalities assessment are implemented on the basis of the “thin client” technology. The research is based on the following methods: the analytical method is used to perform a critical analysis of the problem area and to substantiate the research topic’s relevance; methods of object-oriented programming and methods of modular programming (Cowan’s axiom of modularity) are used as tools for developing the web application logic, as well as the interaction of its individual elements; the attribute-driven design approach is used in the creation of software architectures. The result of the study is the developed and substantiated architecture of a web application for assessing negative infrastructural external factors in determining the land value, the implemented modular structure of the specified web application and the developed conceptual model of the database. The practical implementation of the listed proposals is made by means of the Python programming language. The advantage of the created automated system is the possibility of multi-disciplinary use of the expert assessment approach when changing the settings.

Issues of digitalization and information support of urban planning activities are now becoming particularly relevant against the background of introducing the new innovation economy in all territorial governmental levels. To date, the processes of state information systems implementing for urban planning activities (ISUPA) in the regions of Russia continue, but the conceptual model of the systems in question, which can serve as a basis for developers, has not been formed. The aim of the research is to create a conceptual model of information support for urban planning in the Russian Federation by identifying directions of its transformation. The goal was achieved in the process of retrospective analysis and determining the directions of domestic ISUPA transformation. The authors carried out a retrospective critical analysis of information provision of urban planning activity in Russia (ISUP), as a result of which patterns and trends of development were identified. The directions of ISUP transformation were determined. We formulated the basic principles of construction and functioning of state information systems to ensure urban development (SISUPA). A conceptual model of modern SISUPA was constructed. A set of functional capabilities of the system is defined. The proposed conceptual model of SISUPA and the principles of its construction and operation can be used in the process of SISUPA further improvement in any region of the Russian Federation. The studies show that although digitalization in Russia in the field of urban planning goes steadily, there are problems with the implementation of measures to create a comprehensive ISUP in due time.

It is necessary to have up-to-date information on the historical and cultural value of territories and use it in the process of cadastral, land management and estimation activities for effective and rational dealing with real estate, sustainable city development, and preserving cultural heritage. The authors have developed conceptual assessment methodology basics of historical-and-cultural value of urbanized areas and a scale of historical and cultural value. They have also proposed a list of evaluative factors. Using the hierarchy analysis method, these factors were categorized. A method for calculating the coeffi cient of the historical and cultural value of territories using the fuzzy sets theory is introduced. This technique was tested in the territory of the historical center of Orenburg, Orenburg oblast (978 objects were analyzed). Conclusions on the value of the territory are made. Using GIS MapInfo Pro 2019, a map of the historical and cultural value of the historical center of Orenburg was compiled basing on the assessment results. The use of the assessment results in cadastral, land management and valuation activities is proposed.

Assessment of urban green infrastructure is a task of strategic planning and tactical implementation of decisions taken in the context of sustainable development of urban territories. One of the directions of such an assessment is to identify instances of land misuse within cities’ public green areas. It reflects the legal fairness of the use of urban green spaces, but currently has a weak scientific justification. Therefore, it is pertinent to develop a methodology for evaluating urban green infrastructure in order to pinpoint areas with inappropriate usage Critical analysis and synthesis allowed us to justify the assessment of the misuse of land within urban green zones as an equal element of the urban green infrastructure assessment system. A geospatial database was created to assess public green spaces. Using the results of remote sensing of territories, as well as the «boxplot» method in combination with the Python programming, the NDVI was calculated, and a classification of vegetation elements and artificial objects located within public green spaces in cities was carried out. Based on the obtained classification categories, a mechanism for identifying «green» areas with misuse of land was proposed, and a list of public green areas with similar violations in St. Petersburg was determined. The practical results of the study include: technology for assessing urban green infrastructure to identify public green spaces with misuse; geospatial databases of public green spaces for St. Petersburg; identified public green spaces with obvious violations of their use, including unauthorized parking, littering, sand dumps, unauthorized placement of industrial, warehouse, retail, transport, or other non-recreational facilities within the boundaries of PGS, vehicle collisions with «green» areas; erroneous inclusion of residential buildings and adjacent courtyards, non-residential facilities, as well as organized parking spaces within PGS’s boundaries.

The paper presents the results of the research devoted to the development of a model of information support of monitoring buildings technical condition; these buildings are located in the construction risk area. As a result of the visual and instrumental survey, as well as the analysis of existing approaches and techniques, attributive and cartographic databases have been created. These databases allow monitoring defects and damages of buildings located in a 30-meter risk area from the object under construction. The classification of structures and defects of these buildings under survey is presented. The functional capabilities of the developed model and the field of it practical applications are determined.

The article is devoted to the development of the real estate assessment concept. In conditions of multivariate using of the real estate method based on calculating, the integral indicator of each variant's efficiency is proposed. In order to calculate weights of criteria of the efficiency expert method, Analytic hierarchy process and its mathematical support are used. The method allows fulfilling ranking of alternative types of real estate use in dependence of their efficiency. The method was applied for one of the land parcels located on Primorsky district in Saint Petersburg.