School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei, Anhui, China.
School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei, Anhui, China.
Risk Anal. 2020 Aug;40(8):1554-1570. doi: 10.1111/risa.13499. Epub 2020 May 4.
Road traffic crashes are the leading cause of death for young people, among whom cyclists account for a higher percentage of injuries and deaths than any other road users. This study aimed to examine the factor structure of the Young Cyclist Behavior Questionnaire (YCBQ) and investigate the relationships among demographic characteristics, cycling use-related variables, perceived risk, perceived cycling skills, and risky cycling behaviors among young people. A sample of 448 cyclists (mean age of 20.37 years) completed the questionnaire. Exploratory factor analysis, confirmatory factor analysis, and structural equation modeling were utilized. The YCBQ had a clear factorial structure, items with high factor loadings, and good internal consistency. The five-factor structure included traffic violations, impulsive behaviors, ordinary violations, distractions, and errors. Risky cycling behaviors could be explained by gender, age, perceived risk, and perceived cycling skills, with the model explaining 37% of the variance. Gender had the greatest impact on risky cycling behaviors; male individuals were more likely to engage in risky behaviors. Young cyclists with higher levels of perceived risk had lower probabilities of engaging in risky cycling behaviors. Cyclists with lower scores on perceived cycling skills were more likely to report engaging in risky cycling behaviors. Age significantly explained risky behaviors; the younger the cyclist was, the higher his or her risky behaviors score. This research provides a theoretical foundation for the prevention of risky behaviors among young cyclists. Regarding intervention design, attention to the identified gender differences, the need to strengthen the ability to perceive risk, and the importance of road safety education for young cyclists may promote safer cycling.
道路交通事故是年轻人死亡的主要原因，其中骑自行车的人受伤和死亡的比例高于其他任何道路使用者。本研究旨在检验青少年自行车行为问卷（YCBQ）的因素结构，并调查年轻人的人口统计学特征、与骑自行车相关的使用变量、感知风险、感知骑自行车技能与冒险骑自行车行为之间的关系。448 名自行车手（平均年龄 20.37 岁）完成了问卷。采用探索性因素分析、验证性因素分析和结构方程模型。YCBQ 具有清晰的因子结构、高因子负荷的项目和良好的内部一致性。五因素结构包括违反交通规则、冲动行为、普通违规、注意力分散和失误。冒险的骑行行为可以用性别、年龄、感知风险和感知骑行技能来解释，模型解释了 37%的方差。性别对冒险骑行行为的影响最大；男性更有可能从事冒险行为。感知风险较高的年轻骑手从事冒险骑行行为的可能性较低。感知骑行技能得分较低的骑手更有可能报告从事冒险骑行行为。年龄显著解释了冒险行为；骑车者越年轻，其冒险行为得分越高。这项研究为预防青少年冒险行为提供了理论基础。在干预设计方面，关注已确定的性别差异、需要加强感知风险的能力以及对年轻骑手进行道路安全教育的重要性，可能会促进更安全的骑行。
