Technical Papers
Nov 6, 2023

Safety-Risk Transmission Assessment Based on a Factor–Event Network for Metro Construction Projects

Publication: Natural Hazards Review
Volume 25, Issue 1

Abstract

Metro construction projects are accompanied by numerous unpredictable risk factors and risk events. Traditional safety risk analysis of metro construction projects focuses on risk factors of a particular risk event, such as collapse and falling. However, safety risk factors interact with each other and cause multiple risk events, forming a large transmission network. To reveal the influential relationship between risk factors and events in metro construction projects, the study proposes a safety risk transmission network model based on a factor–event network. First, safety risk factors and risk events were identified based on the reports of metro construction accidents in China. Then, a complex network containing 64 risk factors, 56 risk events nodes, and 533 interacted relationships was built. Finally, critical safety risk factors and risk events were obtained through quantitative assessment of the network topological feature quantity, and crucial transmission paths were identified. It was found that interactions between nodes were quite frequent risk factors of rainfall, geological voids, and illegal operations; and risk events of subsidence or cracks, earth and rock collapse, and death were crucial nodes in the network. These crucial nodes have a large influence on the network and play a pivotal role in risk transmission. Thus, project managers can develop a comprehensive long-term risk management plan based on critical factors and events and take measures to reduce losses by analyzing the risk transmission chains and taking measures to safeguard the neighboring nodes. It is of great significance for accident prevention, control, and improving safety risk management.

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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. Data generated in this study include (1) Accident text sources, (2) metro construction safety risk factors and RE, (3) risk factors—event network diagram, (4) degree ordering of the MCSRCN nodes, (5) ranking of the centrality of MCSRCN, (6) node degree ranking of MCSRCN safety risk factor categories, (7) centrality index of the safety risk factors of MCSRCN, (8) cluster coefficient of the MCSRCN model nodes, (9) clustering coefficient and the ASP of the new generated network, and (10) critical transmission path of safety risk.

Acknowledgments

This work was supported by the Fundamental Research Funds for the Central Universities (2019ZDPY08).

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Natural Hazards Review
Volume 25Issue 1February 2024

History

Received: Mar 1, 2023
Accepted: Sep 13, 2023
Published online: Nov 6, 2023
Published in print: Feb 1, 2024
Discussion open until: Apr 6, 2024

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Associate Professor, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology, Xuzhou, Jiangsu Province 221116, China. Email: [email protected]
Master’s Student, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology, Xuzhou, Jiangsu Province 221116, China (corresponding author). Email: [email protected]
Associate Professor, School of Computer Science and Technology, China Univ. of Mining and Technology, Xuzhou, Jiangsu Province 221116, China. ORCID: https://orcid.org/0000-0003-1129-1109. Email: [email protected]
Engineer, Thansportation Safety Research Institute, Shenzhen Urban Public Safety and Technology Institute, Shenzhen 518000, China. Email: [email protected]
Chaoran Guo [email protected]
Master’s Student, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology, Xuzhou, Jiangsu Province 221116, China. Email: [email protected]
Xueqing Zhou [email protected]
Master’s Student, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology, Xuzhou, Jiangsu Province 221116, China. Email: [email protected]

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