Abstract
Compared with other types of transportation, hazardous chemical transportation is more dangerous and more likely to cause accidents, such as combustion and explosion. To better study the advantages of different accident analysis models and realize the sustainable development of the accident analysis, this paper compares the 24Model and the cognitive reliability and error analysis method in their analyses of causes of hazardous chemical transportation accidents. Regarding their analyses of the causes of hazardous chemical transportation accidents, the causal factors of hazardous chemical transportation accidents are obtained. Then the analysis results of the two models are compared on three aspects: the object of accident influence, the module of accident analysis, and the number of accident causes. Gray correlation analysis and regression analysis are used to quantitatively compare and verify the focus of the two models on the cause of the accident. The results show that the 24Model emphasizes the safety culture of the enterprise, the cognitive reliability and error analysis method emphasizes the technology of the enterprise, and the two accident analysis models provide different emphases on preventing accidents to better achieve the goal of sustainable development.
Highlights
For the Jinyu explosion accident case, the impact objects and accident analysis modules of hazardous chemical transportation accidents analyzed by the two model methods are compared
The comparison shows that the cognitive reliability and error analysis method (CREAM) and 24Model specify the objects of accident impact, including personnel, equipment, social wealth, environment, and other influences
A statistical analysis of the causal factors of 30 hazardous chemical transportation accidents using the 24Model and CREAM revealed that both models include the impacts of accidents on personnel, equipment, social wealth, and the environment and other impacts
Summary
There are models for accident cause analysis, such as the Swiss cheese model [2,3], human factor analysis and classification system (HFACS) [4], 24Model [5], functional resonance analysis method (FRAM) [6], accident map (Accimap) model [7], cognitive reliability and error analysis method (CREAM) [8], job demands resources (JD-R) model proposed [9], and systems-theoretic accident model and process (STAMP) model [10] Both the 24Model and CREAM are systematic accident causation and modular models
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