A Geoinformation Research of the Real Estate Market in Ukraine Using Spatial Databases

• Published in: Bìznes ìnform (Multilingual ed.) Vol. 7; no. 569; pp. 116 - 122
• Main Authors: Pomortseva, Оlena Ye, Nalivayko, Taras A., Kozyrenko, Viktor P., Pyskun, Vladyslav K.
• Format: Journal Article
• Language: English
• Published: 2025
• ISSN: 2222-4459; 2311-116X
• DOI: 10.32983/2222-4459-2025-7-116-122

The article addresses the current issue of modeling the real estate market in Ukraine. The subject of the research is the unstable real estate market today. The goal of the article is to develop approaches for creating a specialized geoinformation system that will allow for analyzing the state of the primary and secondary real estate markets. In the course of the research, a conceptual scheme of the geoinformation system’s database for real estate has been developed. This enables the creation of a geodata schema in the required format and clearly distributes all entities that will be tracked in the developed application across layers. The task of the article is to investigate the pricing features in the real estate market under current conditions and analyze approaches for developing a specialized real estate application in all regional and district centers of Ukraine. The main requirements for the database management system of the developed application have also been formulated. The incorporation of a spatial component for analyzing and utilizing geodata and free software in the form of the Quantum GIS geographical information system will allow for tracking the situation in the real estate market and continuously updating the information. Publishing the created application on the Internet will enable anyone to access current data on real estate prices in any region of the country. This, in turn, will lead to the ability to analyze the situation and make informed decisions regarding real estate investments. The authors emphasize the risks associated with investments in residential real estate. The ability to visualize and display data on a map, that is, the introduction of a spatial factor, helps to minimize these risks. A solution to the problem related to the suspension of real estate sales in certain cities due to security factors was also proposed. The introduction of an integral indicator allows for determining the ratio of the share of the cost of 1-room, 2-room, or 3-room apartments in the total cost even when the purchase and sale transactions are zero. The research utilized general scientific principles of systems analysis and geostatistical approaches, which enabled the transition from discrete data to their continuous spatial representation for further analytical processing. The obtained results may be useful for stakeholders due to the use of information-digital maps that consider spatial features. Since each object has unique characteristics caused by its geospatial location, combining these characteristics with visual information representation will facilitate informed decision-making.