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Buildings 2017, 7(2), 31; doi:10.3390/buildings7020031

Using Genetic Algorithms for Real Estate Appraisals

1
Department of Industrial Engineering, University of Naples “Federico II”, 80125 Naples, Italy
2
Department of Architecture and Industrial Design, University of Campania “Luigi Vanvitelli”, 81031 Aversa, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: David Arditi
Received: 4 February 2017 / Revised: 14 March 2017 / Accepted: 27 March 2017 / Published: 30 March 2017
(This article belongs to the Special Issue Real Estate Economics, Management and Investments)
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Abstract

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. View Full-Text
Keywords: genetic algorithms; geoadditive models; hedonic price models; housing market; real estate appraisals; rental real estate values; Italian real estate rental market genetic algorithms; geoadditive models; hedonic price models; housing market; real estate appraisals; rental real estate values; Italian real estate rental market
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Del Giudice, V.; De Paola, P.; Forte, F. Using Genetic Algorithms for Real Estate Appraisals. Buildings 2017, 7, 31.

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