Knowledge Graph Improved Dynamic Risk Analysis Method for Behavior-Based Safety Management on a Construction Site
Publication: Journal of Management in Engineering
Volume 39, Issue 4
Abstract
Construction sites are considered high-risk working environments. Safety risk analysis of construction sites is one of the important aspects of construction safety management. However, existing construction safety risk analysis methods typically face overreliance on subjective experience and cannot reflect the real-time risk level of construction projects. Crucial information about construction accidents implies a complex semantic network that can obtain objective quantitative data and then serve the quantitative analysis of construction safety risk. Therefore, a knowledge-graph-improved dynamic risk analysis method for behavior-based safety (BBS) management on construction sites is proposed. Specifically, this study quantifies the risks and consequences of unsafe behaviors in construction by conducting graph topology analysis based on historical accident data, improves the grey clustering model, and calculates the construction site risk. Thus, the proposed method combines expert experience and objective historical data to give more objective and realistic results. The results of the application of this method on one project show that the improved dynamic analysis method can utilize the historical accident data to achieve a more reasonable overall risk grading for BBS on construction sites; at the same time, the method can determine real-time key BBS indicators; further, the construction safety management measures for key BBS indicators can effectively reduce current BBS risks of a construction project.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work was supported by the National Key Research and Development Program of China No. 2021YFB2600501, the Fundamental Research Funds for the Central Universities No. 2682021ZTPY080, and the Key Science and Technology Program of Sichuan Province, China, No. 2022YFS0566. Furthermore, the authors would like to thank Yahia Halabi for his help in accessing the raw data set.
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Published In
Journal of Management in Engineering
Volume 39 • Issue 4 • July 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Sep 25, 2022
Accepted: Mar 15, 2023
Published online: May 12, 2023
Published in print: Jul 1, 2023
Discussion open until: Oct 12, 2023
ASCE Technical Topics:
- Analysis (by type)
- Business management
- Construction engineering
- Construction management
- Construction methods
- Construction sites
- Disaster risk management
- Dynamic analysis
- Engineering fundamentals
- Geotechnical engineering
- Geotechnical investigation
- Management methods
- Occupational safety
- Practice and Profession
- Public administration
- Public health and safety
- Risk management
- Safety
- Site investigation
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