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A Study of Construction Workers’ Hazard Recognition Process Based on EEG Experiment

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Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate (CRIOCM 2021)

Part of the book series: Lecture Notes in Operations Research ((LNOR))

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Abstract

As a labour-intensive industry, the casualties caused by safety accidents in the construction industry have always been at the forefront of all industries. Most safety accidents during the construction process are attributed to workers themselves, so how to effectively reduce the accidents caused by construction workers has become an important issue for the construction safety management. Among them, the process of construction workers’ subjective risk perception is the key to change their behaviour and decision-making. Thus, this article is based on the related concepts of construction engineering hazard identification and neuromanagement. Use EEG to do event-related potential experiments to study the process of construction workers’ hazard identification. Then conduct an objective analysis of the experimental results. It is found that individuals produce more significant P200 and LPP waveform in the process of risk identification, and there are significant differences in the P200 amplitudes produced by different types of dangerous stimuli. At the same time, the experimental results showed that, before the individual was stimulated by the dangerous pictures, the brain will perform two-stage processing, that is, the early perception of emergencies and the subjective risk level judgment. In summary, it showed that the cross-application of neuroscience in the engineering field can open up new fields for research and conduct deeper explorations. At the same time, it further confirms the importance of human factors in the study of construction safety-related issues.

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Acknowledgment

This research is funded by the National Nature Science Foundation of China (Grant No.71974132), the Natural Science Foundation of Guangdong Province, China (Grant No. 2018A0303130037), and Shenzhen Government Nature Science Foundation (Grant No. JCYJ20190808115809385).

Author information

Authors and Affiliations

  1. Department of Construction Management and Real Estate, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, China

    Zhiyu Zhang, Zhikun Ding & Weilin Chen

  2. Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen, China

    Zhikun Ding

  3. Key Laboratory of Coastal Urban Resilient Infrastructures (MOE), Shenzhen University, Shenzhen, China

    Zhikun Ding

  4. Shenzhen Key Laboratory of Green, Efficient and Intelligent Construction of Underground Metro Station, Shenzhen University, Shenzhen, China

    Zhikun Ding

Authors
  1. Zhiyu Zhang
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  2. Zhikun Ding
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  3. Weilin Chen
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Corresponding author

Correspondence to Zhikun Ding .

Editor information

Editors and Affiliations

  1. Department of Construction Management, Tsinghua University, Beijing, China

    Hongling Guo

  2. Department of Construction Management, Tsinghua University, Beijing, China

    Dongping Fang

  3. Department of Real Estate and Construction, University of Hong Kong, Hongkong, China

    Weisheng Lu

  4. Department of Construction Management, Zhejiang University of Finance and Economics, Hangzhou, China

    Yi Peng

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zhang, Z., Ding, Z., Chen, W. (2022). A Study of Construction Workers’ Hazard Recognition Process Based on EEG Experiment. In: Guo, H., Fang, D., Lu, W., Peng, Y. (eds) Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate. CRIOCM 2021. Lecture Notes in Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-19-5256-2_111

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