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Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management
The accidents caused by hazardous material during road transportation may result in catastrophic losses of lives and economics, as well as damages to the environment. Regarding the deficiencies in the information systems of hazmat transportation accidents, this study conducts a survey of 371 acciden...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215458/ https://www.ncbi.nlm.nih.gov/pubmed/32316693 http://dx.doi.org/10.3390/ijerph17082793 |
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author | Zhou, Li Guo, Chun Cui, Yunxiao Wu, Jianjun Lv, Ying Du, Zhiping |
author_facet | Zhou, Li Guo, Chun Cui, Yunxiao Wu, Jianjun Lv, Ying Du, Zhiping |
author_sort | Zhou, Li |
collection | PubMed |
description | The accidents caused by hazardous material during road transportation may result in catastrophic losses of lives and economics, as well as damages to the environment. Regarding the deficiencies in the information systems of hazmat transportation accidents, this study conducts a survey of 371 accidents with consequence Levels II to V involving road transportation in China from 2004–2018. The study proposes a comprehensive analysis framework for understanding the overall status associated with key factors of hazmat transportation in terms of characteristics, cause, and severity. By incorporating the adaptive data analysis techniques and tackling uncertainty, the preventative measures can be carried out for supporting safety management in hazmat transportation. Thus, this study firstly analyzed spatial–temporal trends to understand the major characteristics of hazmat transportation accidents. Secondly, it presented a quantitative description of the relation among the hazmat properties, accident characteristics, and the consequences of the accidents using the decision tree approach. Thirdly, an enhanced F-N curve-based analysis method that can describe the relationship between cumulative probability F and number of deaths N, was proposed under the power-law distribution and applied to several practical data sets for severity analysis. It can evaluate accident severity of hazmat material by road transportation while taking into account uncertainty in terms of data sources. Through the introduction of the as low as reasonably practicable (ALARP) principle for determining acceptable and tolerable levels, it is indicated that the F-N curves are above the tolerable line for most hazmat accident scenarios. The findings can provide an empirically supported theoretical basis for the decision-makers to take action to reduce accident frequencies and risks for effective hazmat transportation management. |
format | Online Article Text |
id | pubmed-7215458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72154582020-05-22 Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management Zhou, Li Guo, Chun Cui, Yunxiao Wu, Jianjun Lv, Ying Du, Zhiping Int J Environ Res Public Health Article The accidents caused by hazardous material during road transportation may result in catastrophic losses of lives and economics, as well as damages to the environment. Regarding the deficiencies in the information systems of hazmat transportation accidents, this study conducts a survey of 371 accidents with consequence Levels II to V involving road transportation in China from 2004–2018. The study proposes a comprehensive analysis framework for understanding the overall status associated with key factors of hazmat transportation in terms of characteristics, cause, and severity. By incorporating the adaptive data analysis techniques and tackling uncertainty, the preventative measures can be carried out for supporting safety management in hazmat transportation. Thus, this study firstly analyzed spatial–temporal trends to understand the major characteristics of hazmat transportation accidents. Secondly, it presented a quantitative description of the relation among the hazmat properties, accident characteristics, and the consequences of the accidents using the decision tree approach. Thirdly, an enhanced F-N curve-based analysis method that can describe the relationship between cumulative probability F and number of deaths N, was proposed under the power-law distribution and applied to several practical data sets for severity analysis. It can evaluate accident severity of hazmat material by road transportation while taking into account uncertainty in terms of data sources. Through the introduction of the as low as reasonably practicable (ALARP) principle for determining acceptable and tolerable levels, it is indicated that the F-N curves are above the tolerable line for most hazmat accident scenarios. The findings can provide an empirically supported theoretical basis for the decision-makers to take action to reduce accident frequencies and risks for effective hazmat transportation management. MDPI 2020-04-17 2020-04 /pmc/articles/PMC7215458/ /pubmed/32316693 http://dx.doi.org/10.3390/ijerph17082793 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhou, Li Guo, Chun Cui, Yunxiao Wu, Jianjun Lv, Ying Du, Zhiping Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management |
title | Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management |
title_full | Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management |
title_fullStr | Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management |
title_full_unstemmed | Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management |
title_short | Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management |
title_sort | characteristics, cause, and severity analysis for hazmat transportation risk management |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215458/ https://www.ncbi.nlm.nih.gov/pubmed/32316693 http://dx.doi.org/10.3390/ijerph17082793 |
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