e vast majority of accidents in construction are generated by unsafe behaviors. Some researches also find that the behaviors could be influenced by the awareness and safety climate. e safety behavior and awareness belong to individual levels, while the safety climate belongs to the organization level. Previous studies mainly focus on the relationships between safety climate, safety awareness, and safety behavior without considering their different respective levels and the interaction between levels. is study establishes a hierarchical linear model (HLM) of safety climate, individual safety awareness, and safety behavior to examine the multilevel relationships between them. Data were collected using questionnaire from workers in different teams on the construction site in China.e results indicate that organizational safety climates affect individual safety behavior and safety awareness. In addition, there is a positive correlation between individual safety awareness and safety behavior, and the safety climates have a positive moderating effect on the relationship between them. e final conclusion offers a path for the current practice of safety management in the construction industry.

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PurposeThis study aims to evaluate the effectiveness of different prefabricated construction (PC) policies using a case study in Wuhan, considering the local context.Design/methodology/approachThe effectiveness of PC policies is falling behind expectations. The main reason lies in an insufficient understanding of the policy impacts. An agent-based model was built by choosing the residential sector in a typical large city of Wuhan, China, as the study case. Different cost reduction scenarios were introduced for investigating the PC policy effectiveness. The proposed model and simulation approach can be used for other cities and generalized to the whole Chinese PC industry with the potential to include more local policies and corresponding data.FindingsSimulation results show that carbon emission reduction will be between 60,000 and 80,000 tons with policy incentives, nearly double that of the no policy intervention scenario. The target of 30% PC in all new buildings by 2026 in China is achievable with the subsidy policies of linear cost reduction, or cost reduction conforms to the learning curve.Practical implicationsSimulation results of three kinds of policy show that subsidy policy optimization is necessary regarding reducing the level of subsidy needed. The carbon credit policy is not essential since it has little influence on PC development. Implementing the project procurement restriction policy is not recommended if the scale of development of PC is more important than achieving the development target.Originality/valueThis study can help the government and developers make better policy and strategic decisions on PC development and boost the sustainability transition of the construction industry.