Comparative Study of the Hazardous Chemical Transportation Accident Analyses Using the CREAM Model and the 24Model
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...
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2021
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oai:doaj.org-article:bc8cf3ff151a4b21a0a82ba21b0e97292021-11-25T19:05:31ZComparative Study of the Hazardous Chemical Transportation Accident Analyses Using the CREAM Model and the 24Model10.3390/su1322129232071-1050https://doaj.org/article/bc8cf3ff151a4b21a0a82ba21b0e97292021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12923https://doaj.org/toc/2071-1050Compared 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.Wei JiangYun LiJiankai ZhouZhishun HuangZonghao WuMDPI AGarticlehazardous chemicalstransportation accidentsaccident analysis model24Modelcognitive reliability and error analysis methodEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12923, p 12923 (2021) |
institution |
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collection |
DOAJ |
language |
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topic |
hazardous chemicals transportation accidents accident analysis model 24Model cognitive reliability and error analysis method Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 |
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hazardous chemicals transportation accidents accident analysis model 24Model cognitive reliability and error analysis method Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Wei Jiang Yun Li Jiankai Zhou Zhishun Huang Zonghao Wu Comparative Study of the Hazardous Chemical Transportation Accident Analyses Using the CREAM Model and the 24Model |
description |
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. |
format |
article |
author |
Wei Jiang Yun Li Jiankai Zhou Zhishun Huang Zonghao Wu |
author_facet |
Wei Jiang Yun Li Jiankai Zhou Zhishun Huang Zonghao Wu |
author_sort |
Wei Jiang |
title |
Comparative Study of the Hazardous Chemical Transportation Accident Analyses Using the CREAM Model and the 24Model |
title_short |
Comparative Study of the Hazardous Chemical Transportation Accident Analyses Using the CREAM Model and the 24Model |
title_full |
Comparative Study of the Hazardous Chemical Transportation Accident Analyses Using the CREAM Model and the 24Model |
title_fullStr |
Comparative Study of the Hazardous Chemical Transportation Accident Analyses Using the CREAM Model and the 24Model |
title_full_unstemmed |
Comparative Study of the Hazardous Chemical Transportation Accident Analyses Using the CREAM Model and the 24Model |
title_sort |
comparative study of the hazardous chemical transportation accident analyses using the cream model and the 24model |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/bc8cf3ff151a4b21a0a82ba21b0e9729 |
work_keys_str_mv |
AT weijiang comparativestudyofthehazardouschemicaltransportationaccidentanalysesusingthecreammodelandthe24model AT yunli comparativestudyofthehazardouschemicaltransportationaccidentanalysesusingthecreammodelandthe24model AT jiankaizhou comparativestudyofthehazardouschemicaltransportationaccidentanalysesusingthecreammodelandthe24model AT zhishunhuang comparativestudyofthehazardouschemicaltransportationaccidentanalysesusingthecreammodelandthe24model AT zonghaowu comparativestudyofthehazardouschemicaltransportationaccidentanalysesusingthecreammodelandthe24model |
_version_ |
1718410301907402752 |