• Korean Journal of Culture and Social Issue
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• v.15 no.3
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• pp.431-446
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• 2009

This study was intended to validate and develop the driving stress coping behavior scale. In a preliminary investigation, literature studies on the driving stress and open questionnaire were administered and examined in four regions in Korea. As a result, 64 items driving stress questionnaire were developed. In the study, this Driving Stress Coping Behavior Scale(DS-CBS) was examined to 372 drivers located seven regions in Korea. The factors analysis revealed 2 meaningful factors[(Good Coping: GC), (Bad Coping: BC) with 24 items. When internal consistency for each 2 factor was calculated, all sub-scale revealed a satisfactory level of Cronbach's α. Also, correlations with Driver Coping Questionnaire(DCQ) and risk driving behaviors(speed driving, drunken driving, traffic violation, offence accident, defence accident) supported consistently validity of the Driving Stress Coping Behavior Scale(DS-CBS). Also, We investigated the influences of 'Good Coping', 'Bad Coping' consisting of driving stress coping behavior, on traffic accidents risk. As a result, 'Good Coping' and 'Bad Coping' influenced traffic accidents risk. 'Good Coping' had decreased effects, the other side 'Bad Coping' had increased effects on traffic accidents risk(TARI).

• Journal of Korean Society of Transportation
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• v.33 no.6
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• pp.509-519
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• 2015

In spite of the efforts to reduce traffic accidents of commercial vehicles, the number of driving under the influence (DUI) of commercial drivers has been increasing. This study examines the effect of stress coping style of commercial drivers on driving behaviors. Specifically, this research aims to find the role of life stress as a mediator in the relationships between the stress coping style and problematic drinking behaviors. 1308 licensed commercial vehicle drivers participated in this research. Results showed that life stress mediated the relationships between problem focused strategies, wishful thinking strategies, passive avoidance strategies and problematic drinking behaviors. These findings indicate that educating drivers to change their stress coping styles would be helpful to inhibit them from being involved in drunken driving.

• Journal of Korean Society of Transportation
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• v.31 no.6
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• pp.34-42
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• 2013

The reasons of traffic accidents can be classified into the vehicle, road environment and human factors. In development of vehicle and road technologies, the human factor is the most important. The emotion research recently carried out showed that emotions play an important role in human judgment and decision making. They are also expected to partly determine driving behavior. The purpose of this study was to investigate the effects of drivers' emotions on their driving behavior. The results of this study showed that positive emotions do not affect driving behavior. As for negative emotions, however, safe driving(SD) and comfort driving(CD) factors have a negative correlation, and violence driving(VD) and regulation violation(RO) factors have a positive correlation. This study is significant as a basic study for establishing and determining a policy for reducing traffic accidents and for educating drivers.

• Journal of Korean Society of Transportation
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• v.32 no.3
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• pp.207-217
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• 2014

Many a number of policies have been tried to reduce auto accidents so far, but it is obvious that further studies are still needed to find a more fundamental and multi-dimensional preventive measure with effect. The National Mental Health Statistics shows that the most profound forms of negative emotions, that is, depression and anxiety, have been increasing, but studies on such a topic are scarce to find. Therefore, we conducted a structural analysis between the negative emotions, including depression and anxiety, of drivers and their driving behaviors using a Structural Equation Modeling(SEM) technique. The review of past literature and studies indicated that not all of human emotions manifest themselves as the ultimate behaviors because they go through emotion regulation Strategies. For this reason, the purpose of this study was set to analyze the structural model developed in this study reflecting the emotion regulation strategies. The result of our analysis showed that the driver's negative emotion had a more significant influence on dangerous driving behaviors than safe ones, and especially, the expressive suppression strategy was found to be the highest factor. Also, the total effect analysis with the negative emotional factors showed that expressive suppression had more significant influence compared to that of cognitive reappraisal. The implication of this study might provide a better understanding on driving behaviors of the drivers and could be used as a fundamental study for future policy development to reduce traffic accidents.