Using Genetic Algorithms for Real Estate Appraisals

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Tytuł:: Using Genetic Algorithms for Real Estate Appraisals
Autorzy:: Vincenzo Del Giudice
Pierfrancesco De Paola
Fabiana Forte
Temat:: genetic algorithms
geoadditive models
hedonic price models
housing market
real estate appraisals
rental real estate values
Italian real estate rental market
Building construction
TH1-9745
Źródło:: Buildings, Vol 7, Iss 2, p 31 (2017)
Wydawca:: MDPI AG, 2017.
Rok publikacji:: 2017
Kolekcja:: LCC:Building construction
Typ dokumentu:: article
Opis pliku:: electronic resource
Język:: English
ISSN:: 2075-5309
Relacje:: http://www.mdpi.com/2075-5309/7/2/31; https://doaj.org/toc/2075-5309
DOI:: 10.3390/buildings7020031
Dostęp URL:: https://doaj.org/article/bb69e3ad2e5d414dbf15c87c99df4fa8 Link otwiera się w nowym oknie
Numer akcesji:: edsdoj.bb69e3ad2e5d414dbf15c87c99df4fa8
: Czasopismo naukowe

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The main aim of this paper is the interpretation of the existing relationship between real estate rental prices and geographical location of housing units in a central urban area of Naples (Santa Lucia and Riviera of Chiaia neighborhoods). Genetic algorithms (GA) are used for this purpose. Also, to verify the reliability of genetic algorithms for real estate appraisals and, at the same time, to show the forecasting potentialities of these techniques in the analysis of housing markets, a multiple regression analysis (MRA) was applied comparing results of GA and MRA.

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