Zhao Wenbo, Hao Jian Li, Gong Guobin, Fischer Thomas, Liu Yong
Department of Civil Engineering, Design School, Xi'an Jiaotong-Liverpool University, Suzhou, China; Department of Geography and Planning, School of Environmental Science, University of Liverpool, Liverpool, UK.
Department of Civil Engineering, Design School, Xi'an Jiaotong-Liverpool University, Suzhou, China; Department of Civil and Environmental Engineering, School of Engineering, University of Liverpool, Liverpool, UK.
J Environ Manage. 2025 Jan;373:123560. doi: 10.1016/j.jenvman.2024.123560. Epub 2024 Dec 5.
Although digital technologies (DTs) offer innovative sustainability solutions, their applications in construction waste (CW) management remain limited and face numerous challenges. Effective analysis of current applications, challenges, and future opportunities is crucial for advancing DTs in this field. Driven by four research questions, this paper reviews the application of DTs in CW management through a science mapping approach, analyzing 138 papers from 2014 to 2024. Influential journals, countries, and authors were analyzed. Then, a keyword co-occurrence analysis identified three latest primary research areas. The paper examines the current application and limitations of six commonly used DTs in CW management identified through keyword occurrence frequency: building information modeling (BIM), artificial intelligence (AI), geographic information systems (GIS), big data (BD), remote sensing (RS), and radio frequency identification (RFID). Research. This paper reviews the applications of DTs in CW management, advancing knowledge, informing decision-making, and guiding future research toward furthering sustainable CW management.
尽管数字技术（DTs）提供了创新的可持续发展解决方案，但其在建筑废弃物（CW）管理中的应用仍然有限，并面临诸多挑战。有效分析当前的应用、挑战和未来机遇对于推动该领域的数字技术发展至关重要。在四个研究问题的驱动下，本文通过科学映射方法回顾了数字技术在建筑废弃物管理中的应用，分析了2014年至2024年的138篇论文。对有影响力的期刊、国家和作者进行了分析。然后，通过关键词共现分析确定了三个最新的主要研究领域。本文研究了通过关键词出现频率确定的六种常用数字技术在建筑废弃物管理中的当前应用和局限性：建筑信息模型（BIM）、人工智能（AI）、地理信息系统（GIS）、大数据（BD）、遥感（RS）和射频识别（RFID）。研究。本文回顾了数字技术在建筑废弃物管理中的应用，增进了知识，为决策提供了信息，并引导未来的研究朝着进一步推动可持续建筑废弃物管理的方向发展。
