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Journal of Retail & Leisure Property
Article . 2011 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Specialised property valuation: Multiple criteria decision analysis

Authors: Vida Maliene;

Specialised property valuation: Multiple criteria decision analysis

Abstract

The aim of valuation is to achieve the best estimate of the transaction price of property. The market of specialised properties is very diverse as property does not transact sufficiently often to allow the establishment of price by comparison with previously sold assets. This article describes a multiple criteria decision analysis method that can be used for specialised property valuation. This method is based on a market decision-making principle and is in line with the traditional comparative methods. To estimate the property price, information on as little as two comparable properties is required. The method takes into account a number of different criteria, such as qualitative, quantitative aspects and market conditions. In this article, I describe a theoretical model of the method and provide an example of the estimation of price for a specialised property.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Average
bronze