Issue |
E3S Web Conf.
Volume 171, 2020
The 9th International Scientific-Technical Conference on Environmental Engineering, Photogrammetry, Geoinformatics – Modern Technologies and Development Perspectives (EEPG Tech 2019)
|
|
---|---|---|
Article Number | 02007 | |
Number of page(s) | 5 | |
Section | Photogrammetry, Geoinformatics | |
DOI | https://doi.org/10.1051/e3sconf/202017102007 | |
Published online | 09 June 2020 |
Analysis of the real estate market in the city of Lublin (Poland) from the perspective of spatial development
University of Life Sciences in Lublin, Department of Environmental Engineering and Geodesy, Leszczyńskiego 7, 20-069 Lublin, Poland
* Corresponding author: patrycja.pochwatka@up.lublin.pl
Real estate, in modern times, is exclusive merchandise, because it is in limited supply and is relatively high-priced compared with goods such as food, clothing, luxury goods. Properly conducted spatial planning can bring measurable benefits to both citizens and investors. This study aims to explore the directions of spatial development in the city of Lublin through an analysis of undeveloped properties sold over a study period of twenty-one months. The main objective of the study was to assess the conditions of spatial development in the city. Data from the Register of Prices and Values for Real Estates were analyzed and visualized cartographically. The number of sales of real property located on the outskirts of the city was far larger than for property situated in the central part of the area studied. During the analyzed period, a total area of 0.8895 km2 of land was sold in Lublin, which represents about 0.6% of the entire city area. Vast areas were sold in the districts located on the outskirts. Unsurprisingly, the smallest percentage of land was sold in the central part of the city. The trends observed on the undeveloped real estate market are helpful in assessing the level of suburbanization or urban-sprawl. Besides, the usefulness of cartographic methods for real estate market studies was stressed.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.