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.
This article is devoted to the negative impact of transport vibrations on the condition of historical and cultural monuments. The causes of the occurrence of transport fluctuations and the consequences of their impact were considered. The authors proposed a classification of the negative impact of transport on monuments, ways to reduce of the negative impact were given, as well as the regions of Russian Federation that are the most susceptible to such impact were analyzed.
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.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.