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Prioritizing Green Building Attributes on Conventional Office Building Rental Depreciation Using Analytic Hierarchy Process (AHP)

Author(s): ORCID
ORCID
ORCID


Medium: journal article
Language(s): English
Published in: Buildings, , n. 8, v. 12
Page(s): 1169
DOI: 10.3390/buildings12081169
Abstract:

This paper explores the green building attributes that significantly influenced rental depreciation for conventional buildings from expert perspectives using Malaysia as a case study. The objectives of this study include: (1) identifying the green building attributes for rental depreciation and (2) prioritizing the green attributes via the Analytic Hierarchy Process (AHP) technique. To achieve these objectives, firstly the study identified the green building attributes from the literature and from green building guidelines. The attributes were then validated by expert valuers via a semi-structured interview. Secondly, the attributes were utilized to develop the AHP-designed questionnaire and used to gather feedback from real estate experts. Ten (10) responses were analyzed using the descriptive and AHP techniques. This study has identified the rank of prioritized green building attributes, where the findings suggest the central role of indoor environment quality (EQ), where it ranked the highest in contributing to conventional purpose-built office (PBO) rental depreciation, followed by energy efficiency (EE), green site planning and management (SM), materials and resources (MR), innovation (IN), and water efficiency (WE). The findings allow researchers and practitioners to create strategies for reducing the impact of conventional building rental depreciation and obsolescence due to green building attributes.

Copyright: © 2022 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10688613
  • Published on:
    13/08/2022
  • Last updated on:
    10/11/2022
 
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