A comparison of grading models for neighborhood level of family housing units

Zeynep Gamze Mert, Serhat Yilmaz, Ertan Mert

More recently Turkey has witnessed fast housing development and real estate sector growth because of the mortgage preparations. With this development, property location quality has been considered important for selecting and paying them. This study uses a data set of new single family housing units in Kocaeli University Campus Area. By using 4 location quality criteria, 27 single family housing units are graded at the neighborhood level. It is aimed to examine the applications of grading property at the neighborhood level based on property location quality by testing with three methods. Traditional method and fuzzy logic method were discussed in our antecedent studies. In this study, an easy used numerical calculation method; Neural Networks (NN), is introduced. Its grading performance is compared with the previous methods. NN method is found to be more accurate and realistic than traditional grading approach where its designing stage is more practical and faster than fuzzy logic approach.

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Year of publication:	[2011]
Authors:	Mert, Zeynep Gamze ; Yilmaz, Serhat ; Mert, Ertan
Published in:	New challenges for European regions and urban areas in a globalised world : 51st ERSA Congress : 51st European Congress of the Regional Science Association International : 37th Spanish Regional Science Association Conference : 30th August - 3rd September 2011, Barcelona, Spain
Publisher:	[Louvain-la-Neuve] : European Regional Science Association
Subject:	Neighborhood \| property location quality \| fuzzy logic \| neural networks \| Neuronale Netze \| Neural networks \| Fuzzy-Set-Theorie \| Fuzzy sets \| Wohnstandort \| Residential location \| Nachbarschaft \| Neighbourhood \| Immobilienpreis \| Real estate price