The extensive application of building information modeling (BIM) technology has brought opportunities and challenges to safety risk management in the field of prefabricated building construction. It is of great significance to provide timely information and knowledge for safety risk decisions in prefabricated building construction, and to display this information visually. In response, based on the ontology theory and using the Revit software, in this study we aimed to establish a monitoring system for the construction of prefabricated buildings, which was verified through a practical case. The results revealed that, first, ontology technology can be applied in the Revit software through plug-in integration, and knowledge regarding construction safety risk management in prefabricated building construction can be shared, reused, and accumulated using this system. Second, problems with the design and construction models of prefabricated buildings that do not meet the specification requirements can be detected by the monitoring system in the Revit software. Third, automatic risk identification and response methods using ontology theory and BIM technologies can effectively promote construction safety risk management performance in relation to prefabricated buildings. These findings examine the application of ontology to the field of prefabricated construction safety risk management for the first time, enrich the research on ontology technology, and contribute to safety risk management in the construction of prefabricated buildings.

Safety problems in metro construction occur frequently, causing substantial economic losses and even resulting in injuries and fatalities. Studies have shown that human errors, which are usually caused by complex reasons, are an important cause of safety related accidents. However, little research has analyzed the causes of accidents from the perspective of human errors. To explore the factors influencing human errors, the factors were systematically sorted out and studied based on theoretical analysis. Firstly, the theoretical hypothesis and model were formulated through a literature review. Secondly, the scale was developed for mental factors, physical factors, technical factors, environmental factors, organizational factors, cultural factors, and human errors. Thirdly, the research data were obtained by distributing questionnaires, and the validity and reliability tests were conducted using the data and the structural equation model was tested and run. Finally, the theoretical hypotheses were tested using the structural equation models and came up with the paths of the six factors of human errors. The results of the study showed that mental factors, physiological factors, and technological factors are found to be the direct influencing factors of human errors. However, environmental and cultural factors are the indirect influencing factors. The influencing paths are environment-mental-human errors, environment-physiological-human errors, culture-physiological-human errors, and culture-technology-human errors. Organizational factors can affect human errors directly or indirectly through cultural factors. These findings could provide practical implications for reducing the safety related accidents caused by human errors during metro construction.