In past decades, the massive generation of construction and demolition waste (CDW) was increasingly threatening the public environment and humanity health worldwide. A large amount of research has been devoted to the CDW from difference perspectives. However, few scholars have attempted to summarize and review the extant studies, especially in the managerial areas of CDW (MA-CDW). This paper fills this gap via a systematic and quantitative review in the CDW management field. Employing the scientometric analysis method, a total of 261 articles published from 2006 to 2018 were collected to construct the knowledge map and comprehensive framework for MA-CDW. Results show that the overall evolutionary trend of MA-CDW was from basic management concepts to internal and external challenges analysis, to organizational strategy and innovative management practices. The major MA-CDW knowledge domains were identified and summarized into four pillars, namely: (1) factor and challenge; (2) composition and quantification; (3) assessment and comparison; and (4) technology and method. Based on the trend, knowledge gaps and future research directions were found out and discussed. This study contributes to the existing MA-CDW knowledge by presenting a comprehensive knowledge framework. Furthermore, these findings can provide the researchers and practitioners with an in-depth understanding for the sustainable governance of CDW.

Building information modelling (BIM) is considered to be significant for organisational communication in construction projects. However, the role of BIM has not been fully shown in practice. To this end, this study examined the impact of BIM on communication network from inter- and intra- organisational relationships in the construction project. First, the structures of the communication networks before and after the use of BIM in a project in China were determined based on the social capital perspective. Then, the social network analysis was adopted to measure the changes in network metrics (i.e., number of ties, density, centrality, centralisation, and clique). Results shows that the connections among nodes are denser, and all the values of the network centralisation decrease after BIM application compared with the situation before BIM use. Nevertheless, results also shows that some construction project participants, who originally have interaction and communication needs, remain unable to establish effective connections among one another even after BIM use. Accordingly, some suggestions were proposed to solve the issues and deficiencies. This research contributes to (a) the state of knowledge by proposing social capital perspective that can identify inter- and intra-organizational relationships of the construction project from social interaction and common cognition to build communication network, and (b) the state of practice by identifying conditions and proposing strategies for strengthening organisational communication and collaboration in BIM-enabled network relationships.

The changes in the carbon emissions in China's provincial construction industries are of high complexity. It is essential to understand the changes in the construction carbon emissions (CCEs) in China on the provincial scale. This study evaluates the factors and structural paths of the changes in provincial CCEs in China between 2012 and 2017 using the structural path decomposition analysis. The results show that the emission intensity effect and production structure effect contributed greatly to the reduction of CCEs across various regions, while the final demand effect had contrary impacts. The local nonmetallic mineral products industry (c13), metal smelting and pressing industry (c14), and electricity industry (c24) generally contributed significantly to the emission intensity effect, production structure effect, and final demand effect across most regions. The consumption of local c13, c14, and c24 by the construction industry (c27), namely "local c13→c27", "local c14→c27", and "local c24→c27" were generally the important structural paths of the CCEs changes across various regions. Nonlocal industries such as Hebei c14 and nonlocal structural paths such as "Hebei c14→c27" contributed substantially to the CCEs changes in many regions such as Beijing. The emission intensity effect, first-order production structure effect, and final demand effect typically dominated the effects of the critical structural paths of the CCEs changes across various regions. This study can help policymakers better understand the changes in China's provincial CCEs to formulate region-specific emission reduction measures and provide a comprehensive reference for related research.

The construction industry contributes significantly to CO₂ emissions in China. Understanding the changes in construction CO₂ emissions is important for mitigating the emissions. This study examined the structural paths of changes in construction CO₂ emissions in China during 2002–2017 by using structural path decomposition analysis. The results demonstrate that construction CO₂ emissions increased considerably during the periods of 2002–2007, 2007–2012, and 2012–2017. The final demand effect contributed most to the emission increases, followed by the production structure effect and energy intensity effect. The critical paths contributing to the production structure effect were also identified. “Non-metallic mineral products industry→construction industry” was the critical path to the emission increases. On this path, the final demand effect and energy intensity effect were the main drivers. This study’s findings can help policymakers better understand the dynamics of construction CO₂ emissions and thus formulate effective policies to reduce the emissions.