Dynamic Analysis of Construction Safety Risk and Visual Tracking of Key Factors based on Behavior-based Safety and Building Information Modeling

Construction has long been seen as a high-risk industry. Many studies conduct risk management by controlling construction risk indicators, but few studies associate risk indicators with time and space to propose long-term risk management methods. Therefore, this study proposes a dynamic analysis and...

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Bibliographic Details
Published in:KSCE journal of civil engineering 2019, 23(10), , pp.4155-4167
Main Authors: Lee, Pin-Chan, Wei, Junhao, Ting, Hsin-I, Lo, Tzu-Ping, Long, Danbing, Chang, Lun-Maan
Format: Article
Language:English
Subjects:
Behavior
Building information modeling
Capacity factor
Civil Engineering
Clustering
Components
Confidence intervals
Construction
Construction accidents & safety
Construction industry
Construction Management
Content analysis
Design factors
Dynamic analysis
Earthquakes
Engineering
Evaluation
Frameworks
Geotechnical Engineering & Applied Earth Sciences
Ground motion
Indicators
Industrial Pollution Prevention
Management methods
Manufacturing
Modelling
Nonlinear analysis
Occupational safety
Optical tracking
Probability theory
Questionnaires
Reliability analysis
Risk assessment
Risk levels
Risk management
Risk taking
Safety
Safety management
Seismic design
Semantics
Simulation
Statistical analysis
Steel
Steel frames
Steel structures
Supervisors
System theory
Visual aspects
Visual inspection
Workers
토목공학
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Summary:Construction has long been seen as a high-risk industry. Many studies conduct risk management by controlling construction risk indicators, but few studies associate risk indicators with time and space to propose long-term risk management methods. Therefore, this study proposes a dynamic analysis and visual tracking method based on behavior-based safety (BBS). This study establishes a BBS observation checklist and records workers’ unsafe behavior. The risk level of unsafe behavior is then determined by grey clustering model. When a high risk occurs, an improved grey correlation model is used to track key indicators that affect risk. In order to achieve visual risk management, this study develops semantic logic to predefine the relationship between components and space. In schedule simulation of BIM, the key indicators of BBS are transformed into an executable visual inspection between work items, components, and space through ARC. This method makes it easier for construction managers to combine time and space to manage safety risk and to adopt appropriate strategies in a timely manner to improve the efficiency of safety management.
ISSN:1226-7988
1976-3808
DOI:10.1007/s12205-019-0283-z