Literature DB >> 32093095

Exploring Risk Factors Contributing to the Severity of Hazardous Material Transportation Accidents in China.

Yingying Xing1, Shengdi Chen2, Shengxue Zhu3, Yi Zhang4, Jian Lu1.   

Abstract

With the increasing demand of hazardous material (Hazmat), traffic accidents occurred frequently during Hazmat transportation, which had caused widespread concern in communities. Therefore, a good understanding of Hazmat transportation accident characteristics and contributing factors is of practical importance. In this study, 1721 Hazmat accidents that have occurred during road transportation for the period 2014-2017 in China were examined, and a random-parameters ordered probit model was established to explore the influence of contributing factors on the severity of accidents by accounting for unobserved heterogeneity in the data. Both the injuries and the number of people evacuated were considered as the indicator of accident severity and investigated, respectively. Results show that higher injury severity is likely to be associated with type of Hazmat (compressed gas, explosive, and poison), misoperation, driver fatigue, speeding, tunnel, slope, county road, dry road surface, winter, dark, more than two vehicles, rear end crash, and explosion. As for the correlation between risk factors and the severity of evacuation, type of Hazmat (compressed gas, explosive, and poison), quantity of Hazmat (10-39 t), misoperation, county road, dry road surface, weekdays, dusk, explosion significantly contribute to increasing the severity of evacuation of Hazmat accidents.

Entities:  

Keywords:  Hazmat; accident severity; random-parameters ordered probit model; risk factors; road transportation

Year:  2020        PMID: 32093095     DOI: 10.3390/ijerph17041344

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  4 in total

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

Authors:  Li Zhou; Chun Guo; Yunxiao Cui; Jianjun Wu; Ying Lv; Zhiping Du
Journal:  Int J Environ Res Public Health       Date:  2020-04-17       Impact factor: 3.390

2.  Insights into Factors Affecting Traffic Accident Severity of Novice and Experienced Drivers: A Machine Learning Approach.

Authors:  Shuaiming Chen; Haipeng Shao; Ximing Ji
Journal:  Int J Environ Res Public Health       Date:  2021-12-02       Impact factor: 3.390

3.  Severity Analysis of Hazardous Material Road Transportation Crashes with a Bayesian Network Using Highway Safety Information System Data.

Authors:  Ming Sun; Ronggui Zhou; Chengwu Jiao; Xiaoduan Sun
Journal:  Int J Environ Res Public Health       Date:  2022-03-28       Impact factor: 3.390

4.  The Situation of Hazardous Materials Accidents during Road Transportation in China from 2013 to 2019.

Authors:  Shengxue Zhu; Shiwen Zhang; Hong Lang; Chenming Jiang; Yingying Xing
Journal:  Int J Environ Res Public Health       Date:  2022-08-05       Impact factor: 4.614

  4 in total

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