^ A Cost-Benefit Analysis of Green Buildings with Respect to Construction Waste Minimization Using Big Data in Hong Kong | Structurae
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A Cost-Benefit Analysis of Green Buildings with Respect to Construction Waste Minimization Using Big Data in Hong Kong

Author(s):



Medium: journal article
Language(s): English
Published in: Journal of Green Building, , n. 4, v. 13
Page(s): 61-76
DOI: 10.3992/1943-4618.13.4.61
Abstract:

It is generally accepted that the extra construction costs involved in the construction of green buildings will result in benefits including lower operation costs, higher sale/rental prices, and better sustainability performance. However, there has been little recognition of construction waste minimization (CWM) as one of the important benefits of sustainability performance as designated in green building. This paper aims to provide a better understanding of the cost benefit of green buildings with respect to CWM by using big data in the context of Hong Kong. The study is innovative in that it conducts a cost-benefit analysis specifically on CWM of green buildings by mining large-volume datasets. A surprise finding is that Hong Kong's green building rating system (GBRS), i.e. the BEAM Plus, has a negligible effect on CWM, while it generally increases construction costs by approximately 24%. Hence, the increased construction cost of green buildings cannot be offset by CWM if corresponding items in the BEAM Plus are not properly incentivized. This paper demonstrates the necessity of emphasizing CWM-related items in GBRSs and of taking appropriate measures to deal with them. It also provides better decision-support information on the increased construction costs and the attainable benefits of green building that developers may wish to consider when initiating a green building project.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.3992/1943-4618.13.4.61.
  • About this
    data sheet
  • Reference-ID
    10516609
  • Published on:
    11/12/2020
  • Last updated on:
    19/02/2021