Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1463
Title: REDUCTION OF MASS APPRAISAL CRITERIA WITH PRINCIPAL COMPONENT ANALYSIS AND INTEGRATION TO GIS
Authors: Ünel, Fatma Bünyan
Yalpır, Şükran
Keywords: Mühendislik, Jeoloji
Jeoloji
Yeşil, Sürdürülebilir Bilim ve Teknoloji
Görüntüleme Bilimi ve Fotoğraf Teknolojisi
Issue Date: 2019
Abstract: In real estate, mass appraisal is a very important subject in the valuation of two and more properties. It can be of benefit in a number of fields including taxation, banking transactions, expropriation, etc. The base problem is which criteria to use for mass appraisal. Because the number of criteria and the criteria themselves vary according to people, regions and countries, they are uncertain. They should be optimum in order to save on time, labour and cost. The aim of this study is to reduce the criteria by determining which ones affect the plot value. A survey which was answered by a total of 2,531 participants was conducted in Turkey. Principal Component Analysis (PCA), one of the criteria analysis methods, was applied to the survey data. The number of criteria was reduced to 14 with separation and to 30 according to the results of PCA. But they decreased in the model verification when criteria data for 558 samples were collected in the Konya study area. An index of the neighbourhood and locational features of these criteria was created by using GIS. Three models were established using Multiple Regression Analysis (MRA) and the performance of the models was examined. The prediction values and the market value were integrated into the GIS to compare the spatial distributions of plot values.
URI: https://doi.org/10.26833/ijeg.458430
https://app.trdizin.gov.tr/makale/TXpNME1USXlNZz09
https://hdl.handle.net/20.500.13091/1463
ISSN: 2548-0960
2548-0960
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

Files in This Item:
File SizeFormat 
25f5e6eb-ccac-4ece-96f3-5d50c822d9a5.pdf788.61 kBAdobe PDFView/Open
Show full item record

CORE Recommender

WEB OF SCIENCETM
Citations

5
checked on Jan 30, 2023

Page view(s)

52
checked on Mar 20, 2023

Download(s)

30
checked on Mar 20, 2023

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.