Construction workers' cognitive statuses affecting their safety and productivity are essential for successful construction management. Electroencephalogram (EEG) provides a potential objective tool for measuring and computing the cognitive status of construction workers. This study aims to answer how to adopt EEG for measuring and computing construction workers' cognitive statuses through a critical review. The literature search and selection process included 21 eligible articles. The content analysis was then conducted from three aspects of investigated cognitive statuses, experiment design, and data analysis. The investigated cognitive statuses include vigilance, mental fatigue, mental stress, attention, mental workload, and emotional state. The experiment design is reviewed from the perspective of participant selection, device selection and electrode deployment, task design, and label selection. The data analysis involves EEG signal preprocessing, feature extraction, and cognitive status computation. Five major limitations of the existing studies have been identified, and five future research directions are proposed to address these limitations. This review provides guidance for researchers to use EEG for measuring and computing various cognitive statuses of construction workers. It also provides valuable suggestions for future research and on-site construction management.

Construction and demolition waste (CDW) has caused resource waste, environmental pollution and ecological damage, thus seriously threatening the construction industry's sustainable development. However, few studies provide a systematic framework for strategic analysis and planning of CDW management (CDWM) at the regional level, and empirical studies in typical Chinese first-tier cities are unavailable. This study thus aims to develop a systematic framework to analyze the internal and external conditions of regional CDWM practices through a Strength, Weakness, Opportunity and Threat (SWOT) analysis. Suzhou, a typical Chinese first-tier city whose CDWM practices are at the leading level across China, is selected for an empirical study to demonstrate the framework and investigate the critical success factors for CDWM. Data supporting this study are derived from various channels such as reviewing related regulations, laws, government reports, and published materials and interviewing related government staff and industry stakeholders. Based on SWOTs identified, five strategic recommendations were proposed for future improvements of CDWM practices in Suzhou. Findings from this study allow related stakeholders to deeply understand the current quo of CDWM in Suzhou, contributing to the city’s sustainable construction and circular economy. This study also provides valuable references for other similar cities for CDW strategic planning.

With China’s government facilitating railway projects, more railway lines inevitably pass through ecological fragile regions (EFRs). Railway construction activities in EFRs might cause detrimental impacts on the local water-soil environment (WSE), which is the basis of the local ecological system that if destroyed can induce secondary disasters. Studies on the WSE risk (WSER) during railway construction in EFRs are limited. As such, this study aims to offer preliminary insight into the WSER assessment of railway construction in EFRs. WSERs were identified firstly based on the literature review and field surveys, and thus a risk index framework for WSER assessment including 5 categories of WSERs and 16 second-order risks was established. Then a comprehensive quantitative assessment method was developed by integrating analytic hierarchy process (AHP) and matter-element analysis (MEA) to assess the overall WSERs of railway construction in EFRs. A case (i.e., the Mingan subproject of Hefei-Fuzhou railway) was selected to demonstrate and validate the developed approach. Results show that the proposed assessment approach can be applied to evaluate the WSERs during railway construction. In addition, the case study demonstrates that the risk of construction methods should be the key focus. Findings from this study enrich the knowledge body of sustainable railways and guide the project managers to conduct practical WSER assessment of railway construction.