Abstract
There are few studies on the violation of truck drivers, especially the hazmat truck driver, although truck driver's violation may cause serious casualties. This paper aims to investigate hazmat truck drivers' violation behavior and identify associated risk factors. Different data sources in intelligent transportation system (ITS) including hazmat transportation management system and traffic safety management system are extracted and emerged together. Three years (2016-2018) of violation data that comprised 11612 trip record in China are employed in this research. Based on Bayesian theory, this study proposes zero-inflated ordered probit (ZIOP) model and three alternative models to exploring the relationship between hazmat truck drivers' violation frequency and the key risk factors. The results show that ZIOP model can handle excessive zero observation problem of violation data properly and differentiate between `always-zero group' drivers and drivers who did not violate the traffic rules during research period but would do so in different surroundings. The results also indicate that the violation probability and the violation frequency level of hazmat truck drivers are influenced by driver characteristics, freight order attributes, and drivers' violation records. This research provides guidance for driving training and safety education of hazmat truck drivers, and will be helpful in building better driving simulation models.
Highlights
Transporting by trucks is more efficient and flexible in terms of time and cost for short distance freight as compared to using modes such as air, railway, or sea
In order to ensure the profit of the enterprise, the average annual distance travelled by commercial truck far exceeds that travelled by
The results show that DIC values of zero-inflated Poisson (ZIP) model (339.4) and zero-inflated ordered probit (ZIOP) model (306.0) are significantly less than standard Poisson model (360.4) and ordered probit (OP) model (331.6) respectively, suggesting that the zero-inflated models outperformed the standard models
Summary
Transporting by trucks is more efficient and flexible in terms of time and cost for short distance freight as compared to using modes such as air, railway, or sea. Trucking plays an irreplaceable role in social and economic development, and truck safety is an area worthy of in-depth study. The number of trucks is often much smaller than the number of cars even in developing countries. According to the latest China statistics available, in 2016 there are 21.72 million civil freight trucks, lower than civil passenger vehicles (162.78 million) [1]. In order to ensure the profit of the enterprise, the average annual distance travelled by commercial truck far exceeds that travelled by. The associate editor coordinating the review of this manuscript and approving it for publication was J.
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