Real estate market research in Ukraine. New trends in 2023

Fixation, Monitoring & Assessment of War Consequences and Post-War Reconstruction (NEW)

Authors

First and Last Name Academic degree E-mail Affiliation
Оlena Pomortseva Ph.D. Elenapomor7 [at] gmail.com Department of Land Administration and Geographic Information Systems O.M.Beketov National University of Urban Economy in Kharkiv
Kharkiv, Ukraine
Sergiy Kobzan Ph.D. s.kobzan [at] gmail.com Department of Land Administration and Geographic Information Systems O.M.Beketov National University of Urban Economy in Kharkiv
Kharkiv, Ukraine
Oleh Shapochkin No olegerezez [at] gmail.com Department of Land Administration and Geographic Information Systems O.M.Beketov National University of Urban Economy in Kharkiv
Kharkiv, Ukraine
Natalia Panteleeva No panteleeva4y [at] gmail.com department of geography and its teaching methods State Pedagogical University, Kryvyi Rih, Ukraine
Kryvyi Rih, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 04.08.2023 - 23:11
Abstract 

The purpose of the article is to study trends and prospects for the development of the Ukrainian real estate market during the war. To achieve this goal, the authors used geographic information systems (GIS). The data collected by the authors are processed using GIS in the article. The authors solved the task of analysing the real estate market for rent and purchase through spatial analysis using existing ArcGIS software modules. The use of a geoinformation system allows you to significantly increase the speed of information processing, which is important when working with large volumes of information. The authors conducted research on the dynamics of real estate market development in March-May 2023. The authors conducted a study using the geostatistical method to transform data from a discrete to a continuous representation and made further visualization. In the article, the authors present conclusions from the analysis of a large array of data on apartment rentals and their value in the primary and secondary housing market. Data presentation and information analysis and conclusions were presented in the form of digital information maps. The results obtained by the authors with the help of GIS will allow using the geodatabase to track trends in the real estate market and create new, relevant infographics. The relevance of the article is to demonstrate the possibilities of using a geoinformation system for researching the real estate market in Ukraine. The use of GIS by the authors greatly simplified and accelerated the performance of research work in the real estate market.

References 

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