State-of-the-Art Reviews
Aug 23, 2023

Development of Safety Training in Construction: Literature Review, Scientometric Analysis, and Meta-Analysis

Publication: Journal of Management in Engineering
Volume 39, Issue 6

Abstract

The construction industry has a high accident rate, making safety training for construction workers increasingly important in addressing this issue. Previous research on construction safety training has made significant progress, but existing literature reviews lack a comprehensive summary of the development of construction safety training, an evaluation of the effectiveness of current training methods, and an analysis of potential improvements in the future. Therefore, this study addresses these challenges through systematic literature review, scientometric analysis, and meta-analysis. A total of 92 publications since 2001 were included in this study after searching and selection based on the preferred reporting items commonly used in psychological and medical systematic reviews and meta-analyses. This study identified three phases of construction safety training research: determination of the necessity and significance of construction safety training, exploration of different methods for construction safety training, and development of construction safety training tools using advanced technologies. Findings from the scientometric analysis revealed that prevention and hazard recognition are key research topics in the field. Critical findings of prevention and hazard recognition were summarized and discussed to have a comprehensive understanding of current progress. The results of the meta-analysis indicated that current safety training methods are generally effective in improving construction safety, though the effectiveness in field studies is lower than in laboratory studies. Thus, researchers should understand why safety training performance is different between laboratories and construction sites and then control the differences to enhance the effectiveness of construction safety training in the future. This study identified that personalized safety training is a foreseeable development trend and suggested more efforts on the improvement of long-term safety training effectiveness. Additionally, safety training methods should be revised and optimized for the needs of intelligent construction and prefabricated construction. These findings offer new insights into construction safety training for researchers and policymakers.

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Data Availability Statement

Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request, including plain text information for database and meta-analysis code.

Acknowledgments

This work was supported by the Fundamental Research Funds for the Central Universities under Grant No. DUT20RC(3)091, and the Institute for Guo Qiang, Tsinghua University under Grant No. 2020GQG0007. Any opinions, findings, conclusions, or recommendations expressed in the paper are those of the authors and do not necessarily reflect the views of the funding agency.

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Journal of Management in Engineering
Volume 39Issue 6November 2023

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Published online: Aug 23, 2023
Published in print: Nov 1, 2023
Discussion open until: Jan 23, 2024

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Associate Professor, Dept. of Construction Management, Dalian Univ. of Technology, Dalian, Liaoning 116000, China (corresponding author). ORCID: https://orcid.org/0000-0001-8693-4370. Email: [email protected]
Yuhang Cai
Graduate Student, Dept. of Construction Management, Dalian Univ. of Technology, Dalian, Liaoning 116000, China.
Qinyuan Li
Graduate Student, Dept. of Construction Management, Dalian Univ. of Technology, Dalian, Liaoning 116000, China.

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  • VR-Based Technologies: Improving Safety Training Effectiveness for a Heterogeneous Workforce from a Physiological Perspective, Journal of Management in Engineering, 10.1061/JMENEA.MEENG-6016, 40, 5, (2024).
  • Accelerating the Circular Economy Transition: A Construction Value Chain-Structured Portfolio of Strategies and Implementation Insights, Journal of Construction Engineering and Management, 10.1061/JCEMD4.COENG-14550, 150, 8, (2024).

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