Elliott Mark A, Baughan Christopher J, Sexton Barry F
Department of Psychology, University of Strathclyde, United Kingdom.
Accid Anal Prev. 2007 May;39(3):491-9. doi: 10.1016/j.aap.2006.08.012. Epub 2006 Oct 10.
This study was conducted to: (a) develop a questionnaire that reliably measures the behaviour of motorcyclists and (b) test which types of behaviour predict motorcyclists' crash risk. A Motorcycle Rider Behaviour Questionnaire (MRBQ), consisting of 43 items to measure the self-reported frequency of specific riding behaviours, was developed and administered to a sample of motorcyclists (N=8666). Principal components analysis revealed a 5-factor solution (traffic errors, control errors, speed violations, performance of stunts and use of safety equipment). Generalised linear modelling showed that, while controlling for the effects of age, experience and annual mileage, traffic errors were the main predictors of crash risk. For crashes in which respondents accepted some degree of blame, control errors and speed violations were also significant predictors of crash risk. Implications of the findings are discussed in relation to deciding which countermeasures may be most effective at reducing motorcycle casualty rates.
(a) 编制一份能可靠测量摩托车骑行者行为的问卷，以及 (b) 测试哪些行为类型可预测摩托车骑行者的撞车风险。编制了一份摩托车骑行者行为问卷（MRBQ），包含43个项目，用于测量自我报告的特定骑行行为频率，并对一组摩托车骑行者样本（N = 8666）进行了调查。主成分分析得出了一个五因素解决方案（交通失误、操控失误、超速违规、特技表演和安全设备使用）。广义线性模型显示，在控制年龄、经验和年行驶里程的影响后，交通失误是撞车风险的主要预测因素。对于受访者承担一定程度责任的撞车事故，操控失误和超速违规也是撞车风险的重要预测因素。研究结果的意义将结合确定哪些对策在降低摩托车伤亡率方面可能最有效进行讨论。
