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Research Trends of Information Technology Application in Construction Workers’ Behavior Monitoring

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Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate (CRIOCM 2018)

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Abstract

In construction, about 80%–90% of accidents are associated with workers’ unsafe behavior. It is widely agreed that monitoring workers’ behavior can help reduce accidents, but it would be restrained by the limitation of traditional methods like observation. With the development of information technology, construction safety has been improved by monitoring construction workers’ behavior. A systematic overview of current research would provide consolidated information, including lack of current research and future research direction, for researchers and practitioners. However, there are few such systematic overviews of construction workers’ behavior safety monitoring by information technology. Therefore, this paper reviews previous research in monitoring workers’ behavior in order to understand the current status and tendency of techniques. To be specific, this paper classifies previous studies into three categories: vision-based technology, radio frequency based technology and fusion technology. Several issues on practical application are identified including the negative effect of using cameras to capture workers’ operations and limited types of workers’ unsafe behavior. These challenges indicate that further study in these areas is required. Accordingly, this paper proposes future research directions to enhance the automatic monitoring of workers’ behavior for construction safety.

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Acknowledgments

This paper was supported by the National Natural Science Foundation of China (grant number 71471023).

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Authors and Affiliations

  1. School of Construction Management and Real Estate, Chongqing University, Chongqing, China

    Gui Ye, Ran Lu, Jingjing Yang & Xiaoyu Tang

Authors
  1. Gui Ye
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  2. Ran Lu
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  3. Jingjing Yang
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  4. Xiaoyu Tang
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Corresponding author

Correspondence to Gui Ye .

Editor information

Editors and Affiliations

  1. Guizhou Institute of Technology, Guiyang, Guizhou, China

    Fenjie Long

  2. Department of Land Management, Zhejiang University, Hangzhou, Zhejiang, China

    Sheng Zheng

  3. Department of Land Management, Zhejiang University, Hangzhou, Zhejiang, China

    Yuzhe Wu

  4. Guizhou Institute of Technology, Guiyang, Guizhou, China

    Gangying Yang

  5. College of Economics and Management, Guizhou Institute of Technology, Guiyang, Guizhou, China

    Yan Yang

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Ye, G., Lu, R., Yang, J., Tang, X. (2021). Research Trends of Information Technology Application in Construction Workers’ Behavior Monitoring. In: Long, F., Zheng, S., Wu, Y., Yang, G., Yang, Y. (eds) Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate. CRIOCM 2018. Springer, Singapore. https://doi.org/10.1007/978-981-15-3977-0_97

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