Utilizing intelligent technologies in construction and demolition waste management: From a systematic review to an implementation framework

被引:4
|
作者
Wu, Zezhou [1 ,2 ,3 ]
Pei, Tianjia [1 ,2 ,3 ]
Bao, Zhikang [4 ]
Ng, S. Thomas [5 ]
Lu, Guoyang [5 ]
Chen, Ke [6 ,7 ]
机构
[1] Shenzhen Univ, State Key Lab Intelligent Geotech & Tunnelling, Shenzhen 518060, Peoples R China
[2] Shenzhen Univ, Key Lab Coastal Urban Resilient Infrastructures, Minist Educ, Shenzhen 518060, Peoples R China
[3] Shenzhen Univ, Sino Australia Joint Res Ctr BIM & Smart Construct, Shenzhen 518060, Peoples R China
[4] Heriot Watt Univ, Sch Energy Geosci Infrastructure & Soc, Edinburgh, Scotland
[5] City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon Tong, Hong Kong, Peoples R China
[6] Huazhong Univ Sci & Technol, Sch Civil & Hydraul Engn, Wuhan 430074, Peoples R China
[7] Huazhong Univ Sci & Technol, Natl Ctr Technol Innovat Digital Construct, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
C&D waste management; construction and demolition waste; intelligent technologies; literature review; implementation framework; INFORMATION MODELING BIM; LIFE-CYCLE ASSESSMENT; CIRCULAR ECONOMY; ARTIFICIAL-INTELLIGENCE; ILLEGAL CONSTRUCTION; DECISION-MAKING; SITE SELECTION; DATA ANALYTICS; SUPPLY CHAINS; GIS;
D O I
10.1007/s42524-024-0144-4
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The rapid increase in global urbanization, along with the growth of the construction industry, highlights the urgent need for effective management of construction and demolition (C&D) waste. Intelligent technologies offer a viable solution to this critical challenge. However, there remains a significant challenge in integrating these technologies into a cohesive framework. This study conducts a quantitative analysis of 214 papers from 2000 to 2023, highlighting the extensive use of artificial intelligence (AI) and building information modeling (BIM), along with geographic information systems (GIS) and big data (BD). A further qualitative analysis of 73 selected papers investigates the use of seven different intelligent technologies in the context of C&D waste management (CDWM). To overcome current limitations in knowledge, future research should concentrate on (1) the comprehensive integration of technology, (2) inclusive studies throughout all lifecycle phases of CDWM, and (3) the continued examination of new technologies, such as blockchain. Based on these insights, this study suggests a strategic framework for the effective implementation of intelligent technologies in CDWM. This framework aims to assist professionals in merging various technologies, undertaking lifecycle-wide research, and narrowing the divide between existing and new technologies. It also lays a solid foundation for future academic work to examine specific intelligent technologies, conduct comparative studies, and refine strategic decisions. Regular updates on technological developments are essential for stakeholders to consistently enhance CDWM standards.
引用
收藏
页码:1 / 23
页数:23
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