Mass Appraisal Models of Real Estate in the 21st Century: A Systematic Literature Review

Daikun Wang and Victor Jing Li
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Daikun Wang: Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, New Territories 999077, Hong Kong
Victor Jing Li: Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, New Territories 999077, Hong Kong

Sustainability, 2019, vol. 11, issue 24, 1-14

Abstract: With the increasing volume and active transaction of real estate properties, mass appraisal has been widely adopted in many countries for different purposes, including assessment of property tax. In this paper, 104 papers are selected for the systematic literature review of mass appraisal models and methods from 2000 to 2018. The review focuses on the application trend and classification of mass appraisal and highlights a 3I-trend, namely AI-Based model, GIS-Based model and MIX-Based model. The characteristics of different mass appraisal models are analyzed and compared. Finally, the future trend of mass appraisal based on model perspective is defined as “mass appraisal 2.0”: mass appraisal is the appraisal procedure of model establishment, analysis and test of group of properties as of a given date, combined with artificial intelligence, geo-information systems, and mixed methods, to better model the real estate value of non-spatial and spatial data.

Keywords: mass appraisal; artificial intelligence; geo-information systems; mixed models (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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