A Model for Predicting Tractor-Trailer Truck Drivers' Job Performance Related to Highway Safety
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2004-06-01
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Abstract:A number of factors may contribute to road traffic accidents, namely: reckless driving, having un-road worthy vehicles on the road, and poor conditions of the roads. However, this study examined the performance of tractor-trailer truck drivers in a leading transportation company in the United States of America. Limited research has addressed the issue of working conditions of the drivers, especially incentive, compensation, and workplace variables and how these variables affect job performance in terms of reduced accidents. Therefore, the primary purpose of this study was to determine how tractor-trailer truck drivers’ job performance could be improved while at the same time ensuring increased revenue for the transportation companies employing them. The target population for the study comprised of tractor-trailer truck drivers employed by a major transportation company in the U.S. The researchers obtained data on the drivers from the database maintained by the company. Data were obtained for 14,340 drivers. The data used in the study included demographic, incentive, compensation and workplace variables. The results of the of study showed that a statistically significant model did exist that explained the variance in the dependent variable, the number of accidents which was used as a measure of driver performance. The variables cost of accidents, miles driven per month, safety bonus, pay time off, drivers’ age and salary earned combined explained 3.2% of the changes in the dependent variable (number of accidents) in the study. The demographic variables miles driven and age of the driver had linear and positive relationship with the dependent variable, number of accidents. Based on the results of the study, several policy implications and recommendations for further studies are made.
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