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Real Estate Market Monitoring Technologies in the Digital City

EasyChair Preprint 8681

6 pagesDate: August 14, 2022

Abstract

The authors of the article set a goal – to determine the dependence of the value of private houses in the structure of the municipal economy from the certain market factors. To achieve this goal, it is proposed to use a geographic information portal. The authors analyzed and compared trends in determining the factors influencing the value of private house ownership. As a result of the computer geospatial analysis, visual materials, that greatly simplify the analysis process, have been developed. In general, the use of geoportal data on the territory of the city is allowed to determine the factors influencing the value of private houses, the average exposure time, the average auction, and the average cost of 4 groups of the city districts.  The results of the study will have a great impact on the sustainable development any city in the country. The research was conducted using geographic information systems, which is promising at the present stage of the development of digital cities. In the course of the research, the value of private houses was determined, depending on the location of each investigated real estate segment using/ with the help of a digital geoportal model. An example of the analysis of the private house market in the city of Kharkiv, on the basis of geoinformation technologies, is given. The classification of the private house market in Ukraine is also proposed and the cost of private houses by area and, depending on the location in the future digital city, system is calculated. Conclusions were drawn on the development trends of the private house market in the municipal economy. Prospects for the development of the private house market for the sustainable urban development in Ukraine are shown. Further research in this area may be related to the improvement of methods of geostatistical analysis of data and methods of forecasting the value of private houses, depending on the location and average exposure time.

Keyphrases: Geographic Information System, Geoportal, Smart Cities, digital city, municipal economy, private house, real estate market, sustainable development

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:8681,
  author    = {Sergiy Kobzan and Vladyslav Borodatyuk and Olena Pomortseva and Serhii Nesterenko},
  title     = {Real Estate Market Monitoring Technologies in the Digital City},
  howpublished = {EasyChair Preprint 8681},
  year      = {EasyChair, 2022}}
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