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SEM-based study on the impact of safety culture on unsafe behaviors in Chinese nuclear power plants

Licao Dai, Li Ma, Meihui Zhang, Ziyi Liang

2023Nuclear Engineering and Technology13 citationsDOIOpen Access PDF

Abstract

This paper uses 135 Licensed Operator Event Reports (LOER) from Chinese nuclear plants to analyze how safety culture affects unsafe behaviors in nuclear power plants. On the basis of a modified human factors analysis and classification system (HFACS) framework, structural equation model (SEM) is used to explore the relationship between latent variables at various levels. Correlation tests such as chi-square test are used to analyze the path from safety culture to unsafe behaviors. The role of latent error is clarified. The results show that the ratio of latent errors to active errors is 3.4:1. The key path linking safety culture weaknesses to unsafe behaviors is Organizational Processes → Inadequate Supervision → Physical/Technical Environment → Skill-based Errors. The most influential factors on the latent variables at each level in the HFACS framework are Organizational Processes, Inadequate Supervision, Physical Environment, and Skill-based Errors.

Topics & Concepts

Safety culturePath analysis (statistics)Structural equation modelingLatent variableNuclear powerNuclear power plantEngineeringPath coefficientPsychologyComputer scienceArtificial intelligenceMachine learningManagementEcologyPhysicsNuclear physicsEconomicsBiologyOccupational Health and Safety ResearchRisk and Safety AnalysisQuality and Safety in Healthcare