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• W4296991785 abstract "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." @default.
• W4296991785 created "2022-09-25" @default.
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• W4296991785 date "2022-09-21" @default.
• W4296991785 modified "2023-10-09" @default.
• W4296991785 title "Influencing Factors of Human Errors in Metro Construction Based on Structural Equation Modeling (SEM)" @default.
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• W4296991785 doi "https://doi.org/10.3390/buildings12101498" @default.
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