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.
Agyemang, A., Chowdhury, I., & Balli, F. (2021). Quantifying return spillovers in global real estate markets. Journal of Housing Economics, 52, 101781 doi.org/10.1016/j.jhe.2021.101781. [in English].
Han, B., Ma, Z., Wu, M., Liu, Y., Peng, Z., & Yang, L. (2022). Simulation research on the coordinated development path of urbanization and real estate market using system dynamics in Chongqing City, Southwest China. Ecological Indicators, 143, 109328 doi.org/10.1016/j.ecolind.2022.109328 [in English].
Kauškale, L., & Geipele, I. (2017). Integrated approach of real estate market analysis in sustainable development context for decision making. Procedia Engineering, 172, 505-512 doi.org/10.1016/j.proeng.2017.02.059 [in English].
Kobzan S. & Pomortseva O. (2022). Perspektyvy vidnovlennya misʹkoho hospodarstva v pislyavoyennyy period. [Prospects of the renewal of the urban economy in the post-war period] Naukovyy zbirnyk «InterConf», (103), S. 26-30 [in Ukrainian].
Kobzan, S., & Pomortseva, O. (2023). Prospects for the Development of the Real Estate Market in Ukraine. In Real Estate Market of Ukraine: Practical Aspects and Trends (pp. 111-117). doi.org/10.1007/978-3-031-31248-9_6 [in English].
Lu, B., Ge, Y., Shi, Y., Zheng, J., & Harris, P. (2023). Uncovering drivers of community-level house price dynamics through multiscale geographically weighted regression: A case study of Wuhan, China. Spatial Statistics, 53, 100723 doi.org/10.1016/j.spasta.2022.100723 [in English].
GIS «Uvekon» [Geoinformation System «Uvekon»] Retrieved from https://www.uvecon.ua/ua/geoportal.html . (2023, May, 20).
Statystychnyy analiz nerukhomosti «Lun.ua» [Statistical analysis of real estate «Lun.ua»] Retrieved from https://misto.lun.ua/stat?city=1 (2023, May, 20).
Rynok nerukhomosti «OLX» [Real estate market «OLX»] Retrieved from https://www.olx.ua/d/uk/nedvizhimost/ (2023, May, 20).