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Exploring the Impact of Unsafe Behaviors on Building Construction Accidents Using a Bayesian Network

Author

Listed:
  • Shengyu Guo

    (School of Economics and Management and Institute of Management Science and Engineering, China University of Geosciences, Wuhan 430000, China)

  • Jiali He

    (School of Economics and Management and Institute of Management Science and Engineering, China University of Geosciences, Wuhan 430000, China
    Business School, Central South University, Changsha 410000, China)

  • Jichao Li

    (School of Economics and Management and Institute of Management Science and Engineering, China University of Geosciences, Wuhan 430000, China)

  • Bing Tang

    (School of Economics and Management and Institute of Management Science and Engineering, China University of Geosciences, Wuhan 430000, China)

Abstract

Unsafe behavior is a critical factor leading to construction accidents. Despite numerous studies supporting this viewpoint, the process by which accidents are influenced by construction workers’ unsafe behaviors and the extent to which unsafe behaviors are involved in this process remain poorly discussed. Therefore, this paper selects cases from Chinese building construction accidents to explore the probabilistic transmission paths from unsafe behaviors to accidents using a Bayesian network. First, a list of unsafe behaviors is constructed based on safety standards and operating procedures. Second, several chains of unsafe behaviors are extracted from 287 accident cases within four types (fall, collapse, struck-by and lifting) to form a Bayesian network model. Finally, two accidents are specifically analyzed to verify the rationality of the proposed model through forward reasoning. Additionally, critical groups of unsafe behaviors leading to the four types of accidents are identified through backward reasoning. The results show the following: (i) The time sequence of unsafe behaviors in a chain does not affect the final posterior probability of an accident, but the accident attribute strength of an unsafe behavior, affects the growth rate of the posterior probability of an accident. (ii) The four critical groups of unsafe behaviors leading to fall, collapse, struck-by, and lifting are identified. This study is of theoretical and practical significance for on-site behavioral management and accident prevention.

Suggested Citation

  • Shengyu Guo & Jiali He & Jichao Li & Bing Tang, 2019. "Exploring the Impact of Unsafe Behaviors on Building Construction Accidents Using a Bayesian Network," IJERPH, MDPI, vol. 17(1), pages 1-15, December.
    • Handle: RePEc:gam:jijerp:v:17:y:2019:i:1:p:221-:d:302724
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    References listed on IDEAS

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    1. Wu, Xianguo & Liu, Huitao & Zhang, Limao & Skibniewski, Miroslaw J. & Deng, Qianli & Teng, Jiaying, 2015. "A dynamic Bayesian network based approach to safety decision support in tunnel construction," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 157-168.
    2. Xiang Wu & Yuanlong Li & Yongzheng Yao & Xiaowei Luo & Xuhui He & Wenwen Yin, 2018. "Development of Construction Workers Job Stress Scale to Study and the Relationship between Job Stress and Safety Behavior: An Empirical Study in Beijing," IJERPH, MDPI, vol. 15(11), pages 1-12, October.
    3. Aneziris, O.N. & Topali, E. & Papazoglou, I.A., 2012. "Occupational risk of building construction," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 36-46.
    4. Wu, Wei-Shing & Yang, Chen-Feng & Chang, Jung-Chuan & Château, Pierre-Alexandre & Chang, Yang-Chi, 2015. "Risk assessment by integrating interpretive structural modeling and Bayesian network, case of offshore pipeline project," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 515-524.
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    Cited by:

    1. Xun Liu & Xiaobo Li, 2022. "Exploring the Formation Mechanism of Unsafe Construction Behavior and Testing Efficient Occupational Health and Safety (OHS) Programs," IJERPH, MDPI, vol. 19(4), pages 1-19, February.

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