The rapid urbanisation and infrastructure development projects have increased infinite property regeneration and construction projects in the developed countries. This study aims to examine the current construction waste management literature, including key authors, university networks, and relevant information systems, considering four selected countries, including Australia, Canada, the United Kingdom, and the United States. This paper uses a set of novel metrics, query-based search, and social network analysis techniques for evaluating a dataset of 2337 papers published in a decade by authors from different countries investigating the topic of recycling and reuse of construction and demolition waste in order to identify prominent researchers, influential universities, collaboration practices, and research trends. The dataset of publications is collected from Scopus and analysed using a set of network analysis techniques and statistical analysis. An additional dataset of keywords was collected from the Twitter pages of engineering firms and other relevant industry organisations to assess any possible connection between industry interests and research trends. In order to present a solid analysis of the current investigations in the field, a scientometric analysis along with a rigor statistical method was adopted to carefully identify trends, detailed sub-topics, and the materials investigated in the literature. A probit regression model for testing differences between countries in recycling practices was utilised in the STATA environment. The findings show a set of network analysis and clusters that can help scholars to set their future studies based on the current advances and limitations identified in the literature. Within the dataset, 42% of publications referred to concrete waste, whilst only 2.2% included glass, 2.5% included brick, 4.3% included steel and none included wood, which shows the most common building materials have not been fully covered in the literature. Only 48 publications, or 7.4% of the dataset, originated from the three selected concrete-focused journals. It was also found that information systems appeared in the database lately; however, there is less discussion in the literature on how the integration of Geographic Information System (GIS), Buidling Information Model (BIM), 3D Printing and geo-spatial data analysis can help waste management in the field of construction. The bibliographic analysis of the selected cases shows that universities in Canada and the US exhibit more evidence of domestic collaboration and industry partnerships than universities in Australia and the UK. Additionally, there is evidence to suggest that publications with at least one industry co-author are more likely to address the issue of regulation. The outcome of this paper enables academics, engineers, and regulators to predict research trends, improve industry collaborations and utilise information systems and assign more research resources to address the identified gaps in the literature.

快速的城市化和基础设施开发项目增加了发达国家无限的房地产更新和建设项目。本研究旨在审查当前的建筑垃圾管理文献，包括主要作者、大学网络和相关信息系统，考虑到四个选定的国家，包括澳大利亚、加拿大、英国和美国。本文使用一组新颖的指标、基于查询的搜索和社交网络分析技术来评估来自不同国家的作者在十年内发表的 2337 篇论文的数据集，这些论文研究了建筑和拆除废物的回收和再利用主题，以便确定杰出的研究人员、有影响力的大学、合作实践和研究趋势。出版物数据集是从 Scopus 收集的，并使用一组网络分析技术和统计分析进行分析。从工程公司和其他相关行业组织的 Twitter 页面收集了一个额外的关键字数据集，以评估行业兴趣与研究趋势之间的任何可能联系。为了对该领域当前的调查进行可靠的分析，采用科学计量分析和严格的统计方法来仔细识别趋势、详细的子主题和文献中调查的材料。在 STATA 环境中使用了概率回归模型来测试各国在回收实践方面的差异。研究结果显示了一组网络分析和聚类，可以帮助学者根据文献中确定的当前进展和局限性来设定他们未来的研究。在数据集中，42% 的出版物提到了混凝土废物，而只有 2.2% 包括玻璃，2.5% 包括砖，4.3% 包括钢，没有包括木材，这表明最常见的建筑材料尚未完全涵盖在文献中。只有 48 篇出版物，即数据集的 7.4%，来自三个选定的以具体为重点的期刊。还发现数据库中最近出现了信息系统；然而，关于地理信息系统 (GIS)、建筑信息模型 (BIM)、3D 打印和地理空间数据分析可以帮助建筑领域的废物管理。对所选案例的文献分析表明，加拿大和美国的大学比澳大利亚和英国的大学展示了更多的国内合作和行业伙伴关系的证据。此外，有证据表明，至少有一位行业合著者的出版物更有可能解决监管问题。本文的成果使学者、工程师和监管机构能够预测研究趋势、改善行业合作并利用信息系统并分配更多研究资源来解决文献中发现的差距。对所选案例的文献分析表明，加拿大和美国的大学比澳大利亚和英国的大学展示了更多的国内合作和行业伙伴关系的证据。此外，有证据表明，至少有一位行业合著者的出版物更有可能解决监管问题。本文的成果使学者、工程师和监管机构能够预测研究趋势、改善行业合作并利用信息系统并分配更多研究资源来解决文献中发现的差距。对所选案例的文献分析表明，加拿大和美国的大学比澳大利亚和英国的大学展示了更多的国内合作和行业伙伴关系的证据。此外，有证据表明，至少有一位行业合著者的出版物更有可能解决监管问题。本文的成果使学者、工程师和监管机构能够预测研究趋势、改善行业合作并利用信息系统并分配更多研究资源来解决文献中发现的差距。