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1.
Appl Ergon ; 82: 102970, 2020 Jan.
Article in English | MEDLINE | ID: mdl-31614279

ABSTRACT

Powered two-wheeler riders are frequently involved in crashes at intersections because an approaching car driver fails to give right of way. This simulator study aimed to investigate how riders perform an emergency braking maneuver in response to an oncoming car and, second, whether longitudinal motion cues provided by a motion platform influence riders' braking performance. Twelve riders approached a four-way intersection at the same time as an oncoming car. We manipulated the car's direction of travel, speed profile, and its indicator light. The results showed that the more dangerous the situation (safe, near-miss, impending-crash), the more likely riders were to initiate braking. Although riders braked in the majority of trials when the car crossed their path, they were often unsuccessful in avoiding a collision with the car. No statistically significant differences were found in riders' initiation of braking and braking style between the motion and no-motion simulator configurations.


Subject(s)
Accidents, Traffic/prevention & control , Computer Simulation , Motorcycles , Psychomotor Performance , Deceleration , Emergencies , Humans , Motion
2.
Accid Anal Prev ; 62: 303-8, 2014 Jan.
Article in English | MEDLINE | ID: mdl-24211562

ABSTRACT

This study was aimed at investigating the relationship between trait forgivingness, general anger, hostility, driving anger, and self-reported aggressive driving committed by the driver him/herself ("self" scale) and perceiving him/herself as an object of other drivers' aggressive acts ("other" scale). The Slovak version of questionnaires was administrated to a sample of 612 Slovak and Czech drivers. First, the factor structure of the Driver Anger Indicators Scale (DAIS) was investigated. Factor analyses of the self and other parts of the DAIS resulted in two factors, which were named as aggressive warnings and hostile aggression and revenge. Next, the results showed that from all dependent variables (scales of the DAIS), self-reported aggressive warnings (self) on the road were predicted best by chosen person-related factors. The path model for aggressive warnings (self) suggested that trait forgivingness and general anger were fully mediated by driving anger whereas hostility proved to be a unique predictor of aggressive behavior in traffic. Driving anger was found to be the best predictor of perceptions that other drivers behave aggressively.


Subject(s)
Aggression , Anger , Automobile Driving/psychology , Forgiveness , Hostility , Personality , Accidents, Traffic , Adolescent , Adult , Aged , Female , Humans , Male , Middle Aged , Surveys and Questionnaires , Young Adult
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