Differences in Personality Characteristics, Demographics, and the Predictive Value of the Self-reported Speeding Behavior Model of Young Riders in Vietnam

Abstract

This study examined the differences in speeding behavior for personality traits (sensation-seeking, anxiety, anger, altruism, normlessness) and demographics (gender, age, and geographical areas) of young riders. In addition, it aimed to test speeding behavior using the Theory of Planned Behavior (TPB). The reliability and validity of the data for each question were evaluated based on 222 complete and valid responses. Analysis of Variance (ANOVA) was utilized to test for differences in personality and demographics, and Structural Equation Modeling (SEM) was performed to determine the speeding behavior. The results of the ANOVA analysis show a significant difference in the speeding behavior toward personality characteristics and demographics. The results of SEM analysis show that attitude significantly influences speeding behavior through behavioral intentions, and the subjective norm positively influences speeding behavior through behavioral intention. Perceived behavioral control also, directly and indirectly, has a positive influence on speeding behavior. The findings can help design more effective safety and intervention campaigns, such as focusing on awareness education on riders' personalities, gender, riding experience, and geographical areas. On the other hand, the SEM model results show that it is necessary to change the attitude of riders towards this violation, correcting the social norms, improving their safety awareness, etc., to reduce speeding behavior.