Safety and health have been one of the major issues in the construction industry worldwide for decades, and the relevant research has correspondingly drawn much attention in the academic field. Considering the expanding size and increasing heterogeneity of this research field, this paper proposes the topic modeling approach to cluster latent topics, extract coherent keywords, and discover evolving trends over the past three decades. Focusing on a total of 1984 articles published in 27 different journal sources until February 2023, this paper applied both unsupervised topic modeling techniques—Latent Dirichlet Allocation (LDA) and Correlation Explanation (CorEx)—and their semi-supervised versions—Guided LDA and Anchored CorEx. The evolving trends and inter-relationship of 15 research topics generated by the Anchored CorEx model (the best-performing model) were analyzed. Top-listed documents of major topics were analyzed to discuss their standalone research focuses. The results of this paper provided helpful insights and implications of existing research and offered potential guides for future research on construction safety and health by helping researchers (1) select research topics of interest and clearing decaying topics; (2) extract the top words of each research topic using systematic approaches; and (3) explore the interconnection of different research topics as well as their standalone focuses.

Building photovoltaic integration (BIPV) technology can effectively solve the urban energy shortage, environmental damage, and other environmental problems, which is of great significance to the sustainable development of the urban. However, the practical application of BIPV technology has been very slow, and BIPV projects have encountered numerous obstacles and risks in the process of promotion and construction. Although some researchers have conducted qualitative studies on these obstacles and risks, systematic risk assessment methods for BIPV projects are missing. This study aims to systematically develop a framework to assess the risk of BIPV projects to address this gap. First, a comprehensive risk indicator system is established using literature analysis and expert interview methods. Second, DEMATEL (decision‐making trial and evaluation laboratory) is used to calculate constant rights. Then, the risk assessment is carried out from the perspective of four‐dimensional risk including severity, possibility, urgency, and uncontrollability. The variable weight theory is used to calculate variable weight. The data fusion and risk level determination are realized by the matter‐element extension model. Finally, a case study is conducted to verify the feasibility and applicability of the BIPV project risk assessment framework. The results show that the comprehensive risk grade of the BIPV project in Qingdao is III, which belongs to medium risk. In addition, some suggestions are made based on the evaluation results. This study can enrich the methods in the field of risk assessment, and the results can provide a valuable reference for BIPV project investors and decision‐makers.

The formulation and implementation of carbon reduction policies are pivotal strategies for attaining the Carbon Peaking and Carbon Neutrality objectives in China, yet there has been limited in-depth research at the policy level. This study systematically compiled 179 central government carbon reduction policy documents and 1183 local government carbon reduction policy documents from China. These policies were classified into command-and-control (CC), market-based (MB), and public participation (PP) categories based on their policy tools. Through detailed content analysis, the intensity of each policy within each category was calculated and the distributions of both quantity and intensity were analyzed. Subsequently, a multiple regression analysis was conducted to evaluate the impact of policy intensity on carbon emissions at the provincial level. The findings highlight a more pronounced policy activity and intensity in the eastern regions relative to the central and western regions, reveal the dominance of CC policies in terms of both their prevalence and intensity, and identify a counterintuitive increase in carbon emissions associated with CC policies. This research elucidates the landscape of China’s carbon reduction policies, offering nuanced insights into their distribution, intensity, and effectiveness in lowering carbon emissions, often a major concern of policymakers, researchers, and industry stakeholders.