TY - JOUR
T1 - Life cycle insights into construction and demolition waste management
T2 - past, present and emerging futures
AU - Gao, Yu
AU - Yiu, Tak Wing
AU - Shen, Xuesong
AU - Tam, Vivian W.Y.
PY - 2025/10/1
Y1 - 2025/10/1
N2 - Construction and demolition waste (C&DW) poses a significant challenge to sustainable development and the circular economy. While research in this domain has expanded, existing reviews often focus on isolated stages or methods, lacking a comprehensive life cycle perspective. This paper presents a novel integration of bibliometric and content analysis, examining 1025 articles (2015–2024) from the Web of Science database. The review encompasses the full life cycle of C&DW management, including waste generation prediction, material identification and classification, transportation, and recycling or disposal. Key trends were identified through co-occurrence, co-citation, and cluster analysis, revealing a shift from traditional qualitative approaches to intelligent and data-driven methods. Four major research gaps were identified: limitations in predictive models, insufficient applications of intelligent technologies, inadequate multi-stakeholder governance, and the lack of standardized evaluation frameworks. Future directions are proposed to guide integrated and scalable solutions. These findings offer a holistic understanding of the field and inform more effective and sustainable C&DW management strategies.
AB - Construction and demolition waste (C&DW) poses a significant challenge to sustainable development and the circular economy. While research in this domain has expanded, existing reviews often focus on isolated stages or methods, lacking a comprehensive life cycle perspective. This paper presents a novel integration of bibliometric and content analysis, examining 1025 articles (2015–2024) from the Web of Science database. The review encompasses the full life cycle of C&DW management, including waste generation prediction, material identification and classification, transportation, and recycling or disposal. Key trends were identified through co-occurrence, co-citation, and cluster analysis, revealing a shift from traditional qualitative approaches to intelligent and data-driven methods. Four major research gaps were identified: limitations in predictive models, insufficient applications of intelligent technologies, inadequate multi-stakeholder governance, and the lack of standardized evaluation frameworks. Future directions are proposed to guide integrated and scalable solutions. These findings offer a holistic understanding of the field and inform more effective and sustainable C&DW management strategies.
KW - Bibliometrics
KW - Citespace
KW - Construction and demolition waste management
KW - Knowledge map
KW - Life cycle management
UR - http://www.scopus.com/inward/record.url?scp=105010516898&partnerID=8YFLogxK
U2 - 10.1016/j.jobe.2025.113441
DO - 10.1016/j.jobe.2025.113441
M3 - Article
AN - SCOPUS:105010516898
SN - 2352-7102
VL - 111
JO - Journal of Building Engineering
JF - Journal of Building Engineering
M1 - 113441
ER -