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Cause Analysis of Unsafe Behaviors in Hazardous Chemical Accidents: Combined with HFACs and Bayesian Network

Author

Listed:
  • Xiaowei Li

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China)

  • Tiezhong Liu

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China)

  • Yongkui Liu

    (Macro Strategy Research Office, Chinese Academy of Labour and Social Security, Beijing 100029, China)

Abstract

Hazardous chemical accidents (HCAs) seriously endanger public life, property, and health. Human and organizational factors are important causes of many kinds of accidents. In order to systematically explore the influencing factors of unsafe behaviors in HCAs in China, the method of human factors analysis and classification system based on the Bayesian network (BN-HFACs) was introduced. According to the 39 investigation reports of HCAs in China, the origin Bayesian network (BN) was obtained and the failure sensitivity of every node in BN was calculated. The results have shown that hazardous material environment (1.63) and mechanical equipment (0.49) in the level of preconditions of unsafe behavior have the same direction failure effect with operation error, while there is no factor has the same direction failure effect with operation violate. Some factors in organization influence and unsafe supervision, such as organization climate (0.34), operation guidance (0.37), planned operation (0.22), and legal supervision (0.19), are also important reasons for operational errors, while resource management (0.12), hidden investigation (0.18) and legal supervision (0.13) have an impact on operation violates. Moreover, there are still close relationships between other hierarchical elements, such as the operation guidance effect on the hazardous material environment (6.60), and the organizational climate has the most obvious impact on other factors at the level of organizational factors. Based on the above research conclusions, suggestions for individual, enterprise, and government were put forward, respectively, and the limitations of this study were also clarified.

Suggested Citation

  • Xiaowei Li & Tiezhong Liu & Yongkui Liu, 2019. "Cause Analysis of Unsafe Behaviors in Hazardous Chemical Accidents: Combined with HFACs and Bayesian Network," IJERPH, MDPI, vol. 17(1), pages 1-15, December.
    • Handle: RePEc:gam:jijerp:v:17:y:2019:i:1:p:11-:d:299248
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    References listed on IDEAS

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    1. Zhaobo Chen & Gangzhu Qiao & Jianchao Zeng, 2019. "Study on the Relationship between Worker States and Unsafe Behaviours in Coal Mine Accidents Based on a Bayesian Networks Model," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    2. Wei Jiang & Wei Han, 2018. "Analysis of “2·28” KEEPER Chemical Industries Hazardous Chemical Explosion Accident Based on FTA and HFACS," IJERPH, MDPI, vol. 15(10), pages 1-12, September.
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    Cited by:

    1. Li Yang & Xue Wang & Junqi Zhu & Liyan Sun & Zhiyuan Qin, 2022. "Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD," IJERPH, MDPI, vol. 19(17), pages 1-29, August.

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