2020
DOI: 10.1155/2020/5868379
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Factors Affecting Crash Involvement of Commercial Vehicle Drivers: Evaluation of Commercial Vehicle Drivers’ Characteristics in South Korea

Abstract: The aim of this study was to evaluate the effects of driver-related factors on crash involvement of four different types of commercial vehicles—express buses, local buses, taxis, and trucks—and to compare outcomes across types. Previous studies on commercial vehicle crashes have generally been focused on a single type of commercial vehicle; however, the characteristics of drivers as factors affecting crashes vary widely across types of commercial vehicles as well as across study sites. This underscores the nee… Show more

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Cited by 14 publications
(8 citation statements)
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“…Specifically, one of the most important limitations of this work is related to the use of self-reports as our primary source of information, and this could be associated with biases such as social desirability [ 74 ], or poor understanding of the questions, especially considering that a significant number in the sample had no clear understanding of the concept of “road safety education”. It also would be necessary to consider random heterogeneity within the variable effect, as stated by previous research [ 75 , 76 , 77 ]. Regarding this, and as a recommendation for future research, it is important to suggest the use of supplementary measures for the assessment of road safety behavior, accounting for age and gender, whose greatest asset could be, in this case, the minimization of the “common method biases” that often affect cross-sectional designs [ 78 ].…”
Section: Discussionmentioning
confidence: 99%
“…Specifically, one of the most important limitations of this work is related to the use of self-reports as our primary source of information, and this could be associated with biases such as social desirability [ 74 ], or poor understanding of the questions, especially considering that a significant number in the sample had no clear understanding of the concept of “road safety education”. It also would be necessary to consider random heterogeneity within the variable effect, as stated by previous research [ 75 , 76 , 77 ]. Regarding this, and as a recommendation for future research, it is important to suggest the use of supplementary measures for the assessment of road safety behavior, accounting for age and gender, whose greatest asset could be, in this case, the minimization of the “common method biases” that often affect cross-sectional designs [ 78 ].…”
Section: Discussionmentioning
confidence: 99%
“…When the driver is driving in a normal state, he/she can observe the road traffic situation in time and make driving responses. When the driver is fatigued, the reaction to the road situation is relatively slow, and the corresponding driving action amplitude and frequency become smaller [44].…”
Section: Driver Fatigue Feature Extraction and Information Entropy Ca...mentioning
confidence: 99%
“…Traffic violations are strongly related to truck drivers' involvement in a traffic crash, whereas drivers' selfishness, mild social deviance, and safety climate indirectly affect their crash involvement [36]. The driver's greater experience has a positive effect on diminishing driver crash involvement, while traffic violations, change of job, and earlier crash experience have a negative influence and the magnitude of such effects varies across different types of commercial vehicles [37]. The likelihood of being involved in an accident is high for those drivers who are young or old, men, and drivers with speeding violations and recent history of crash experience [38].…”
Section: Literature Reviewmentioning
confidence: 99%