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Exploring Empirical Rules for Construction Accident Prevention Based on Unsafe Behaviors

Author

Listed:
  • Han-Hsiang Wang

    (Department of Civil Engineering, National Central University, Jhongli, Taoyuan 320317, Taiwan)

  • Jieh-Haur Chen

    (Department of Civil Engineering, National Central University, Jhongli, Taoyuan 320317, Taiwan
    Safety and Health Association of Taiwan, Zhunan, Miaoli 350007, Taiwan
    Research Center of Smart Construction, National Central University, Jhongli, Taoyuan 320317, Taiwan)

  • Achmad Muhyidin Arifai

    (Department of Civil Engineering, National Central University, Jhongli, Taoyuan 320317, Taiwan)

  • Masoud Gheisari

    (Rinker School of Construction Management, University of Florida, Gainesville, FL 32611, USA)

Abstract

This paper is aimed at exploring rules for construction accident prevention based on unsafe behaviors. The literature review demonstrates a clear connection between construction accident prevention and unsafe behaviors, followed by a 2-year field investigation resulting in 2207 observations based on convenient sampling with 95% confidence and 5% limit of errors in the 50–50 category. There are 80.43% unsafe behaviors categorized into “Regulations for the Occupational Safety and Health Equipment and Measures”, where there are 66.37% of regulations and law VII violations, linking fall prevention with the most cases (94.48%) of Fall Protection and Structure Strengthening. The Apriori yields 13 association rules, where the top 3 rules show that 44.11% of the Passage and lighting category is linked to construction equipment inspections; 29.41% of the high-pressure gas category is linked to construction equipment inspections; 100% of the fire prevention category is linked to fire protection unsafe behavior. The findings clarify the association rules that can prevent workers from accidents in construction sites.

Suggested Citation

  • Han-Hsiang Wang & Jieh-Haur Chen & Achmad Muhyidin Arifai & Masoud Gheisari, 2022. "Exploring Empirical Rules for Construction Accident Prevention Based on Unsafe Behaviors," Sustainability, MDPI, vol. 14(7), pages 1-9, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4058-:d:782487
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    References listed on IDEAS

    as
    1. Zhou, Ying & Li, Chenshuang & Ding, Lieyun & Sekula, Przemyslaw & Love, Peter E.D. & Zhou, Cheng, 2019. "Combining association rules mining with complex networks to monitor coupled risks," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 194-208.
    2. Zhou, Cheng & Chen, Rui & Jiang, Shuangnan & Zhou, Ying & Ding, Lieyun & Skibniewski, Miroslaw J. & Lin, Xinggui, 2019. "Human dynamics in near-miss accidents resulting from unsafe behavior of construction workers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 530(C).
    3. Guo, Shengyu & Zhang, Pan & Ding, Lieyun, 2019. "Time-statistical laws of workers’ unsafe behavior in the construction industry: A case study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 419-429.
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    Cited by:

    1. Rossy Armyn Machfudiyanto & Jieh-Haur Chen & Yusuf Latief & Titi Sari Nurul Rachmawati & Achmad Muhyidin Arifai & Naufal Firmansyah, 2023. "Applying Association Rule Mining to Explore Unsafe Behaviors in the Indonesian Construction Industry," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    2. Yin Junjia & Aidi Hizami Alias & Nuzul Azam Haron & Nabilah Abu Bakar, 2023. "A Bibliometric Review on Safety Risk Assessment of Construction Based on CiteSpace Software and WoS Database," Sustainability, MDPI, vol. 15(15), pages 1-24, August.

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