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Updated: Jul 8, 2025
08:05
Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
10.7K
Comprehensive factor analysis and risk quantification study of fall from height accidents.
Jun Long Peng1, Xiao Liu1, Chao Peng1
1Changsha University of Science & Technology, Chang Sha City, China.
Heliyon
|December 18, 2023
Summary
Low security awareness is the primary cause of fall-from-height (FFH) accidents. This study developed a new integrated risk analysis model to better understand and prevent these dangerous incidents in construction.
Area of Science:
- Occupational safety and health
- Risk management
- Accident analysis
Background:
- Working at heights presents significant risks, necessitating scientific investigation of fall-from-height (FFH) incidents.
- Existing research lacks a comprehensive assessment of the interplay between causal factors in FFH accidents.
- There is a need for improved safety management and preventive measures in building construction.
Purpose of the Study:
- To introduce an integrated risk analysis model for FFH accidents.
- To identify influential factors and their interrelationships in FFH incidents.
- To provide a scientifically valid method for analyzing FFH accidents and informing safety practices.
Main Methods:
- Utilized incident reports and multi-case rootedness theory to identify influential elements.
- Employed Grey Decision Making Laboratory (Grey-DEMATEL) and Interpretive Structural Modeling (ISM) for network construction.
- Transformed the network model into a Bayesian Network (BN) using GeNie2.0 software, based on 420 accident cases.
Main Results:
- Identified 'Low security awareness' (A5) as the most significant contributing factor to FFH accidents.
- Revealed dynamic and non-linear interconnections between causal factors, not merely independent and linear relationships.
- Established a likelihood of FFH incidents occurring up to 57% and ranked the probability of each contributing component.
Conclusions:
- The developed integrated risk analysis model is scientifically valid and applicable for analyzing FFH accidents.
- The model empowers contractors with precise risk information for improved safety management and prioritization of preventive measures.
- Facilitates informed decision-making to mitigate FFH risks and enhance workplace safety in construction environments.
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