Trinity Centre for Bioengineering, Trinity College Dublin, Ireland.
Trinity Centre for Bioengineering, Trinity College Dublin, Ireland.
Accid Anal Prev. 2021 Mar;151:105948. doi: 10.1016/j.aap.2020.105948. Epub 2021 Jan 7.
As both a utility mode of transport and recreational activity, cycling has well-known health, environmental, and economic benefits. For these reasons it has been encouraged in many countries, including the Republic of Ireland. However, with increasing popularity there have been concurrent increases in road traffic related cyclist injuries. This study aims to characterise cyclist collisions, which are known to be underreported in Police statistics. For data collection, a survey addressing collisions was distributed to cyclists across the country in 2018. Univariable testing was used to identify differences in collision factors and injury outcomes for cyclist collisions with motorised vehicles, and those where a motorised vehicle is not involved as a collision partner i.e. single cyclist, cyclist-pedestrian, or cyclist-cyclist collisions. Furthermore, binary logistic regression modelling was used to clarify biasing factors for Police reporting of collisions. The largest proportion of collisions was between cyclists and motorised vehicles (56%), followed by single cyclist collisions (29%), collisions with other cyclists (8%), and pedestrians (7%). The odds of Police reporting for collisions with motorised vehicles in this study was 20 times greater than single cyclist collisions, 10 times greater than cyclist-cyclist collisions, and 4 times greater than collisions with pedestrians. The odds of Police reporting of serious injury collisions was 7 times greater than minor injury collisions. There were several differences in road, environmental, and human factors, and injury patterns between cyclist-motorised vehicle collisions and non-motorised vehicle collisions. The findings of this study indicate that greater attention should be paid to the following underreported collision types: 1) those that do not involve collisions with motorised vehicles (single cyclist collisions in particular), which have been shown to have differing collision characteristics to motorised vehicle collisions, and 2) less severe injuries, which have been shown to be a substantial contributor to the cyclist safety problem. Furthermore, surveys have been shown to be a valuable mechanism for investigation of lower severity cyclist injuries, which are largely unrecorded in Police or hospital data.
作为一种实用的交通工具和娱乐活动,骑自行车有众所周知的健康、环境和经济效益。出于这些原因,许多国家都鼓励骑自行车,包括爱尔兰共和国。然而,随着自行车越来越受欢迎,与道路交通有关的自行车事故也随之增加。本研究旨在描述自行车事故,这些事故在警察统计数据中被认为是漏报的。为了收集数据,2018 年在全国范围内向骑自行车的人分发了一份关于碰撞的调查。使用单变量测试来确定与机动车碰撞的自行车碰撞因素和伤害结果的差异,以及没有机动车作为碰撞伙伴的碰撞,即单人自行车、自行车-行人或自行车-自行车碰撞。此外,还使用二项逻辑回归模型来澄清警察报告碰撞的偏倚因素。最大比例的碰撞是自行车与机动车之间(56%),其次是单人自行车碰撞(29%)、与其他骑自行车的人碰撞(8%)和与行人碰撞(7%)。在本研究中,与机动车碰撞的警察报告几率是单人自行车碰撞的 20 倍,是自行车-自行车碰撞的 10 倍,是与行人碰撞的 4 倍。严重受伤碰撞的警察报告几率是轻伤碰撞的 7 倍。在道路、环境和人为因素以及自行车-机动车碰撞和非机动化车辆碰撞的伤害模式方面存在一些差异。本研究的结果表明,应该更加关注以下未报告的碰撞类型:1)那些不涉及与机动车碰撞的类型(特别是单人自行车碰撞),这些碰撞与机动车碰撞具有不同的碰撞特征,2)较轻的伤害,这些伤害是自行车安全问题的一个重要原因。此外,调查已被证明是一种有价值的机制,可以调查警察或医院数据中未记录的较低严重程度的自行车伤害。