Department of Civil, Construction, and Environmental Engineering, Institute for Transportation, Iowa State University, Ames, IA 50011, United States.
Accid Anal Prev. 2013 Dec;61:119-28. doi: 10.1016/j.aap.2013.05.028. Epub 2013 Jun 14.
Using motorcycle crash data for Iowa from 2001 to 2008, this paper estimates a mixed logit model to investigate the factors that affect crash severity outcomes in a collision between a motorcycle and another vehicle. These include crash-specific factors (such as manner of collision, motorcycle rider and non-motorcycle driver and vehicle actions), roadway and environmental conditions, location and time, motorcycle rider and non-motorcycle driver and vehicle attributes. The methodological approach allows the parameters to vary across observations as opposed to a single parameter representing all observations. Our results showed non-uniform effects of rear-end collisions on minor injury crashes, as well as of the roadway speed limit greater or equal to 55mph, the type of area (urban), the riding season (summer) and motorcyclist's gender on low severity crashes. We also found significant effects of the roadway surface condition, clear vision (not obscured by moving vehicles, trees, buildings, or other), light conditions, speed limit, and helmet use on severe injury outcomes.
利用 2001 年至 2008 年爱荷华州的摩托车事故数据，本文采用混合逻辑模型来研究摩托车与其他车辆碰撞事故中影响事故严重程度的因素。这些因素包括碰撞特定因素（如碰撞方式、摩托车骑手和非摩托车驾驶员以及车辆的行为）、道路和环境条件、位置和时间、摩托车骑手和非摩托车驾驶员以及车辆属性。该方法允许参数在观察之间变化，而不是用一个单一的参数代表所有观察结果。我们的研究结果表明，追尾碰撞对轻伤事故的影响并不均匀，55 英里/小时或以上的道路限速、区域类型（城市）、骑行季节（夏季）以及摩托车手的性别对低严重程度事故的影响也不均匀。我们还发现道路表面状况、视线清晰（不受移动车辆、树木、建筑物或其他障碍物的影响）、光线条件、限速以及头盔使用对严重伤害结果有显著影响。
