Deep learning and network analysis: Classifying and visualizing accident narratives in construction

B Zhong, X Pan, PED Love, L Ding, W Fang - Automation in Construction, 2020 - Elsevier
If headway is to be made to improve safety performance in construction, then there is a need
to learn from past accidents. Accident reports provide a useful source of information to make …

Sectoral patterns of accident process for occupational safety using narrative texts of OSHA database

Y Suh - Safety science, 2021 - Elsevier
The narrative text analytics has recently focused on identifying an accident process in the
various fields of safety such as manufacturing, construction, chemicals, and service. In …

Identifying convergence fields and technologies for industrial safety: LDA-based network analysis

B Song, Y Suh - Technological forecasting and social change, 2019 - Elsevier
As industrial systems expand and complex systems are developed, it is no longer effective to
minimize hazards and risks for industrial safety using the technological solutions limited to a …

Text mining-based patent analysis of BIM application in construction

X Pan, B Zhong, X Wang… - Journal of Civil …, 2021 - journals.vilniustech.lt
As a data tool applicable to the full life-cycle of construction engineering and management,
Building Information Modeling (BIM) has great potential for significantly increasing project …

Human error analysis for hydraulic engineering: Comprehensive system to reveal accident evolution process with text knowledge

D Tian, H Liu, S Chen, M Li, C Liu - Journal of construction …, 2022 - ascelibrary.org
Many human errors occur in hydraulic engineering construction, and these errors may lead
to huge financial losses. A systematic and comprehensive accident analysis is required to …

On the development of risk factor map for accident analysis using textmining and self-organizing map (SOM) algorithms

S Kang, Y Suh - Journal of the Korean Society of Safety, 2018 - koreascience.kr
Report documents of industrial and occupational accidents have continuously been
accumulated in private and public institutes. Amongst others, information on narrative-texts …

Structuring Risk Factors of Industrial Incidents Using Natural Language Process

S Kang, SR Chang, J Lee, Y Suh - Journal of the Korean Society of …, 2021 - koreascience.kr
The narrative texts of industrial accident reports help to identify accident risk factors. They
relate the accident triggers to the sequence of events and the outcomes of an accident …

Correlational Structure Modelling for Fall Accident Risk Factors of Portable Ladders Using Co-occurrence Keyword Networks

JM Hwang, SW Shin - Journal of the Korean Society of Safety, 2021 - koreascience.kr
The main purpose of accident analysis is to identify the causal factors and the mechanisms
of those factors leading to the accident. However, current accident analysis techniques focus …

[HTML][HTML] Text mining techniques to identify causes and hazards of ship fire accidents

B Kim, KI Hwang - J. Mar. Eng. Technol, 2020 - e-jamet.org
Abstract SOLAS regulation II-2/17 (MSC/Circ. 1002) allows the use of performance-based
fire engineering design to demonstrate that design solutions not complying with traditional …

Machine Learning Approach to Classifying Fatal and Non-Fatal Accidents in Industries

S Kang, SR Chang, Y Suh - Journal of the Korean Society of Safety, 2021 - koreascience.kr
As the prevention of fatal accidents is considered an essential part of social responsibilities,
both government and individual have devoted efforts to mitigate the unsafe conditions and …