Department of Civil Engineering, Indian Institute of Technology, Jammu, India.
Department of Civil Engineering, Indian Institute of Technology, Jammu, India.
Accid Anal Prev. 2021 Sep;160:106312. doi: 10.1016/j.aap.2021.106312. Epub 2021 Jul 30.
Powered two-wheelers (PTW) constitute the most vulnerable type of road user, primarily due to their lack of protection compared to other motorized vehicles, which can lead to a severe accident in the event of crashes. A notable increase in the percentage of PTW accidents resulting in fatalities has raised a serious need for further research in understanding riding behavior. The Motorcycle rider behavior questionnaire (MRBQ) based studies have shown promising results by using MRBQ to relate riding behavior with crash risk. Despite numerous studies using the MRBQ technique and inconsistency in derived inferences across the studies highlighted the need to revise MRBQ and carry out predictive validity for capturing the correct riding behavior of Indian riders. Therefore, this research modified the previously available questionnaire by considering the focus group's opinion, consisting of twenty professional riders, two transportation experts, and two traffic police officers. Additionally, the predictive validity check of MRBQ was carried out using a sample of Indian riders consisting of 392 participants. The exploratory factor analysis of the MRBQ revealed a 32 item version of the questionnaire divided into a four-factor structure (traffic errors, control errors, speed violations, and stunts). The present research highlighted some critical dissimilarities between PTW riders of India and other countries. The low mean score (based on the Likert scale) of the items under the four-factor structure indicated overall a safe PTW rider behavior of Indian riders. Among the four factors, speed violation showed the highest mean score and stunts showed the least mean score indicating frequent and infrequent aberrant ridding behaviors, respectively. A known group construct validity check revealed that gender had a significant and age an insignificant effect on the reporting of aberrant riding behaviors. Furthermore, a negative binomial regression analysis revealed that traffic error had the highest incidence rate ratio, confirming it to be the most significant predictor of crash risk for Indian riders. Finally, the study briefly discussed counter-measure strategies targeting specific riding behavior.
两轮机动车（PTW）是道路使用者中最脆弱的群体，主要是因为与其他机动车辆相比，它们缺乏保护，一旦发生事故，可能会导致严重后果。PTW 事故导致的死亡率显著增加，这就迫切需要进一步研究，以了解骑行行为。基于《摩托车骑行者行为问卷》（MRBQ）的研究表明，通过使用 MRBQ 将骑行行为与事故风险联系起来，取得了有前景的结果。尽管有许多研究使用了 MRBQ 技术，但研究结果存在不一致性，这凸显了修订 MRBQ 并进行预测有效性验证的必要性，以准确捕捉印度骑手的骑行行为。因此，本研究在考虑到由 20 名专业骑手、2 名交通专家和 2 名交通警察组成的焦点小组意见后，对之前的问卷进行了修订。使用包括 392 名参与者的印度骑手样本，对 MRBQ 的预测有效性进行了检查。MRBQ 的探索性因素分析揭示了问卷的 32 项版本，分为四个因素结构（交通违章、控制失误、超速违规和特技骑行）。本研究强调了印度与其他国家的 PTW 骑手之间存在的一些关键差异。四个因素结构下的项目平均得分较低（基于李克特量表），这表明印度骑手的整体骑行行为较为安全。在四个因素中，超速违规的平均得分最高，而特技骑行的平均得分最低，这分别表明了频繁和不频繁的异常骑行行为。一项已知群组构建有效性检验表明，性别对异常骑行行为的报告有显著影响，而年龄没有影响。此外，负二项回归分析显示，交通违章的发生率比最高，证实其是印度骑手事故风险的最显著预测因素。最后，研究简要讨论了针对特定骑行行为的对策。
