Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management

Bibliographic Data

ID15480375
AuthorsLi Zhou (0000-0001-7132-5935, Beijing Wuzi University), Chun Guo (0000-0002-1970-8311, Beijing Jiaotong University), Chunxian Guo (0000-0002-2603-7181, Beijing Jiaotong University), Yunxiao Cui (Beijing Jiaotong University), Jian Wu (0000-0002-2297-3335), Jianjun Wu (0000-0002-3762-0065, Beijing Jiaotong University), Jiayue Wu (0000-0002-3394-1507, Beijing Jiaotong University), Ying Lv (0000-0001-5387-0657, Beijing Jiaotong University, corresponding author), Zhiping Du (Beijing Wuzi University)
Year2020
Volume17
Issue8
Pages2793-2793
Publication date2020-04-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17082793
PMID32316693
OpenAlexW3017185270
LanguageEN
Citations received1
References cited38

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 presents 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

Business · Computer security · Environmental health · Environmental planning · Geography · Risk analysis (engineering · Risk assessment · Risk management · Computer Science · Marine and Coastal Research · Medicine · Risk and Safety Analysis · Traffic and Road Safety

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