Organization of the Building Space of Developments and Its Impact on Residential Housing Prices
Edward Preweda and
Elżbieta Jasińska
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Edward Preweda: Department of Integrated Geodesy and Cartography, AGH University of Science and Technology, aleja Adama Mickiewicza 30, 30-059 Kraków, Poland
Elżbieta Jasińska: Department of Integrated Geodesy and Cartography, AGH University of Science and Technology, aleja Adama Mickiewicza 30, 30-059 Kraków, Poland
Sustainability, 2020, vol. 12, issue 18, 1-19
Abstract:
This study has examined the process of urban space development in Krakow (southern Poland) using two developments as an example. The planning documents were analysed and spatial data obtained from the CAPAP (Centre for Spatial Analysis of Public Administration) project were processed. The data source for analysis comprised 2D outlines of certain buildings from the topographic object database (BDOT10k), elevation data from lidar aerial laser scanning at a density of 12 points per square meter and a numerical terrain model (NMT) with a one-meter mesh grid. In addition, existing models of the boundaries of the plots including their numbers and the ownership structure were used. On this basis, a digital mock-up of the analysed site was created. The issue surrounding the purchasing of these sites is interesting, since on the primary market, the apartments are bought long before the start of the first construction works. For this reason, the buyer is not necessarily aware of how the buildings surrounding his/her property will ultimately look, including whether or not they will obscure the sun’s rays. Until now, there has been no need to analyse the density of buildings, as there was no definitive impact of this feature on property prices; discussions were only held in relation to one of the developments built, as to how the sustainable development of the city should look. The positive actions applied during the implementation of the investment were detailed and the negative aspects of the resulting developments were identified. This allowed general analysis of land use development. The work used a model of regressive trees to determine the impact of certain attributes on the property prices.
Keywords: land use; cadaster; lidar; urban analysis; spatial modelling; spatial planning; statistical analysis; classification trees (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:18:p:7622-:d:414215
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