Linear and Nonlinear Modelling of the Usable Area of Buildings with Multi-Pitched Roofs

One of the key elements in real estate appraisal of residential buildings is the usable area. To determine the monetary value of real estate, appraisers in Poland often rely on transaction data registered in the Real Estate Price Register (REPR). However, the REPR may contain meaningful gaps, partic...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences 2024-12, Vol.14 (24), p.11850
Main Authors: Dawid, Leszek, Barańska, Anna, Baran, Paweł, Ala-Karvia, Urszula
Format: Article
Language:English
Subjects:
Accuracy
Analysis
Appraisers
Architecture
Buildings
GIScience
LiDAR
linear and nonlinear regression
mathematical modelling
Neural networks
Optical radar
Real estate appraisal
Real estate appraisers
Real property
Regression analysis
Regulation
Remote sensing
Roofing
Topography
urban remote sensing
Valuation
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:One of the key elements in real estate appraisal of residential buildings is the usable area. To determine the monetary value of real estate, appraisers in Poland often rely on transaction data registered in the Real Estate Price Register (REPR). However, the REPR may contain meaningful gaps, particularly on information concerning usable areas. This may lead to difficulties in finding suitable comparative properties, resulting in mispricing of the property. To address this problem, we used linear and nonlinear models to estimate the usable area of buildings with multi-pitched roofs. Utilizing widely available data from the Topographic Objects Database (BDOT10k) based on LiDAR technology, we have shown that three parameters (building’s covered area, building’s height, and optionally the number of storeys) are sufficient for a reliable estimate of the usable area of a building. The best linear model, using design data from architectural offices, achieved a fit of 95%, while the best model based on real data of existing buildings in the city of Koszalin, Poland achieved 92% fit. The best nonlinear model achieved slightly better results than the linear model in the case of design data (better fit by approximately 0.2%). In the case of existing buildings in Koszalin, the best fit was at 93%. The proposed method may help property appraisers determine a more accurate estimation of the usable area of comparative buildings in the absence of this information in the REPR.
ISSN:2076-3417
2076-3417
DOI:10.3390/app142411850