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BIM and real estate valuation: challenges, potentials and lessons for future directions

Peyman Jafary (Building 4.0 CRC, Melbourne, Australia) (Department of Infrastructure Engineering, Centre for Spatial Data Infrastructures and Land Administration, The University of Melbourne, Melbourne, Australia)
Davood Shojaei (Department of Infrastructure Engineering, Centre for Spatial Data Infrastructures and Land Administration, The University of Melbourne, Melbourne, Australia)
Abbas Rajabifard (Department of Infrastructure Engineering, Centre for Spatial Data Infrastructures and Land Administration, The University of Melbourne, Melbourne, Australia)
Tuan Ngo (Building 4.0 CRC, Melbourne, Australia) (Department of Infrastructure Engineering, The University of Melbourne, Melbourne, Australia)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 7 December 2022

143

Abstract

Purpose

Building information modeling (BIM) is a striking development in the architecture, engineering and construction (AEC) industry, which provides in-depth information on different stages of the building lifecycle. Real estate valuation, as a fully interconnected field with the AEC industry, can benefit from 3D technical achievements in BIM technologies. Some studies have attempted to use BIM for real estate valuation procedures. However, there is still a limited understanding of appropriate mechanisms to utilize BIM for valuation purposes and the consequent impact that BIM can have on decreasing the existing uncertainties in the valuation methods. Therefore, the paper aims to analyze the literature on BIM for real estate valuation practices.

Design/methodology/approach

This paper presents a systematic review to analyze existing utilizations of BIM for real estate valuation practices, discovers the challenges, limitations and gaps of the current applications and presents potential domains for future investigations. Research was conducted on the Web of Science, Scopus and Google Scholar databases to find relevant references that could contribute to the study. A total of 52 publications including journal papers, conference papers and proceedings, book chapters and PhD and master's theses were identified and thoroughly reviewed. There was no limitation on the starting date of research, but the end date was May 2022.

Findings

Four domains of application have been identified: (1) developing machine learning-based valuation models using the variables that could directly be captured through BIM and industry foundation classes (IFC) data instances of building objects and their attributes; (2) evaluating the capacity of 3D factors extractable from BIM and 3D GIS in increasing the accuracy of existing valuation models; (3) employing BIM for accurate estimation of components of cost approach-based valuation practices; and (4) extraction of useful visual features for real estate valuation from BIM representations instead of 2D images through deep learning and computer vision.

Originality/value

This paper contributes to research efforts on utilization of 3D modeling in real estate valuation practices. In this regard, this paper presents a broad overview of the current applications of BIM for valuation procedures and provides potential ways forward for future investigations.

Keywords

Acknowledgements

This research was supported by Building 4.0 CRC, which receives grant funding from the Australian Government through the CRC Program.

Citation

Jafary, P., Shojaei, D., Rajabifard, A. and Ngo, T. (2022), "BIM and real estate valuation: challenges, potentials and lessons for future directions", Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-07-2022-0642

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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