Bibliographic Details
| Title: |
A review of extant literature and recent trends in residential construction waste reduction. |
| Authors: |
Albsoul, Hadeel1 (AUTHOR) hadeel.albsoul@autuni.ac.nz, Doan, Dat Tien1 (AUTHOR), Aigwi, Itohan Esther1 (AUTHOR), GhaffarianHoseini, Ali1 (AUTHOR) |
| Source: |
Waste Management & Research: The Journal for a Sustainable Circular Economy. Mar2025, Vol. 43 Issue 3, p322-338. 17p. |
| Subjects: |
Sustainability, Construction & demolition debris, Waste minimization, House construction, Circular economy |
| Geographic Terms: |
New Zealand |
| Abstract: |
The residential construction sector in New Zealand and worldwide is experiencing increased criticism for generating substantial waste that poses environmental concerns. Accordingly, researchers have advocated implementing residential construction waste reduction (RCWR) strategies as a sustainable solution to managing construction waste (CW). This article aims to provide a comprehensive overview of RCWR by analysing 87 articles from the Scopus database using bibliometric and critical review methods. The co-occurrence analysis of keywords revealed five clusters, in which five main themes emerged: (i) waste generation and management performance, (ii) prefabrication and life cycle assessment concepts, (iii) design concepts, (iv) circular economy and (v) decision-making concepts. The findings suggest that sustainable practices such as designing for waste reduction, prefabrication, waste quantification, three-dimensional printing and building information modelling can effectively achieve RCWR. The study also highlights the benefits of RCWR, including reducing environmental impacts, and identifies management, economic, legislative, technology and cultural barriers that affect the implementation of RCWR strategies. These results provide valuable insights to support future policy formulation and research direction for RCWR in New Zealand. [ABSTRACT FROM AUTHOR] |
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Copyright of Waste Management & Research: The Journal for a Sustainable Circular Economy is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |