Tian, D; Liu, H; Chen, S; Li, M and Liu, C (2022) Human error analysis for hydraulic engineering: Comprehensive system to reveal accident evolution process with text knowledge. Journal of Construction Engineering and Management, 148(9): 04022093, ISSN 0733-9364
Abstract
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 reduce the probability of human error. Human error analysis is a lengthy and challenging process because the tendency is for accident data to be presented in text format. In addition, construction human error management requires an intelligent and efficient analysis system to ensure the timeliness of accident prevention and control. Thus, this study proposes a human error intelligent analysis system on the basis of text mining to automatically extract text knowledge and reveal the accident evolution process. Using hydraulic engineering construction text, a topic feature extraction model is built to extract words and improve the human factors analysis and classification system (HFACS) model. Then, a human error causation network that integrates text topic features, the improved HFACS model, and Bayesian theory is developed to intelligently identify human factors and quantify the human error evolution process. The analysis system proposed in this paper provides an effective way to mine and apply the experience-based knowledge available in hydraulic engineering construction text for the intelligent analysis and prediction of human error, thus improving the efficiency of human error management.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Bayesian network; human error; human factors analysis and classification system; hydraulic engineering; latent dirichlet allocation; text mining |
| Index terms: | bayesian network, hydraulic, evolution, mining, accident prevention, human factor, efficiency, error management |
| Subjects: | environmental health, fluid mechanics, performance management, occupational health and safety management, environmental science, probabilistic model, project delivery, geotechnical engineering |
| Topics: | Health and Safety, Project Management, Engineering Principles, Sustainability, Digital Applications, Quality Management |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here