Abstract

This study investigates the effects of motorcycle-riding experience on aberrant driving behaviors and road traffic accidents (RTAs). Pakistan is one of the countries where motorcycle usage is very high. It can be supposed that the aberrant riding behaviors (improper U-turn, wrong overtaking, stopping anywhere on the road, etc.) while riding a motorcycle might be memorized when motorcycle rider switch to vehicle driving, which ultimately cause RTAs. A self-reported web-based questionnaire survey was conducted in Pakistan, and 396 valid responses were received. The 23-item Driver Behavior Questionnaire (DBQ) was designed to measure aberrant driving behaviors. Proportional Odds (PO) model and binary logistic regression model were employed to examine the effects of motorcycle-riding experience on aberrant driving behaviors and RTAs, respectively. Principal component analysis with varimax rotation confirmed a three-factor solution of aberrant driving behaviors of Pakistani drivers; self-willed violations/errors, distracted violations, and risky violations/errors. Distracted violations were found to be significantly influenced by motorcycle-riding experience. In addition to this, some demographic and socio-economic variables were attributable to aberrant driving behaviors. Surprisingly, no direct relationship was found between motorcycle-riding experience and RTAs. However, a significant association was evident between distracted violations and RTAs. A one-unit increase in distracted violations increased the probability of being involved in RTA by 54%. These results offer a new connection of aberrant driving behaviors to motorcycle use that could be valuable for RTAs reduction.

摘要

本研究调查了摩托车骑行体验对异常驾驶行为和道路交通事故 (RTA) 的影响。巴基斯坦是摩托车使用率非常高的国家之一。可以推测，当摩托车骑手转为车辆驾驶时，可能会记住骑摩托车时的异常骑行行为（不当掉头、错误超车、停在路上等），最终导致RTA。在巴基斯坦进行了一项基于网络的自我报告问卷调查，共收到 396 份有效回复。23 项驾驶员行为问卷 (DBQ) 旨在衡量异常驾驶行为。比例赔率 (PO) 模型和二元逻辑回归模型分别用于检验摩托车骑行体验对异常驾驶行为和 RTA 的影响。方差最大旋转的主成分分析证实了巴基斯坦驾驶员异常驾驶行为的三因素解决方案；任性的违规/错误、分心的违规和有风险的违规/错误。发现分心的违规行为受到摩托车骑行经验的显着影响。除此之外，一些人口统计和社会经济变量可归因于异常驾驶行为。令人惊讶的是，没有发现摩托车骑行体验与 RTA 之间存在直接关系。然而，分心的违规行为与区域贸易协定之间存在明显的关联。分心的违规行为每增加一个单位，参与 RTA 的可能性就会增加 54%。这些结果提供了异常驾驶行为与摩托车使用之间的新联系，这可能对减少 RTA 很有价值。