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台湾路口摩托车骑士违规跨越转弯区之观察性研究。

Motorcyclists violating hook-turn area at intersections in Taiwan: an observational study.

机构信息

Graduate Institute of Injury Prevention and Control, College of Public Health and Nutrition, Taipei Medical University, Taiwan, ROC.

出版信息

Accid Anal Prev. 2013 Oct;59:1-8. doi: 10.1016/j.aap.2013.04.034. Epub 2013 May 14.

DOI:10.1016/j.aap.2013.04.034
PMID:23743296
Abstract

Research has suggested that the most typical and catastrophic automobile-motorcycle crash takes place when an automobile manoeuvres into the path of an oncoming motorcycle at intersection, which involves a motorist infringing upon the motorcycle's right of way (ROW). In Taiwan, motorcycles, on the other hand, are the one that has been observed to violate the ROW of approaching automobiles at intersections. Such a ROW-violation by left-turn motorcyclists in front of approaching traffic is a safety problem in terms of its frequency and accident consequence. Using high-definition video cameras to capture motorcycles' behaviours, the present study empirically analyses the determinants of motorcyclists violating the hook-turn area (HTA) that has been implemented in Taiwan to deter motorcyclists from violating the ROW of approaching vehicles. Mixed (random parameters) logit models are found to be superior in fitting the data to traditional binary logit models. Main findings include that there was an increased likelihood of HTA-violation at T/Y intersections, in rural areas, during non rush hours, when the riders were females, younger, when riders were travelling on mopeds or heavier motorcycles, when traffic volume was less, and when riders were with half-style helmets. Implications of the research findings, the concluding remarks, and recommendations for future research are finally provided.

摘要

研究表明,最典型和灾难性的汽车-摩托车碰撞发生在汽车在交叉口驶入迎面而来的摩托车路径时,这涉及到驾驶者侵犯摩托车的先行权(ROW)。在台湾,另一方面,观察到摩托车在交叉口违反了接近汽车的 ROW。这种在前面的左转弯摩托车在接近的车辆前违反 ROW 的行为,无论是从频率还是事故后果来看,都是一个安全问题。本研究使用高清摄像机捕捉摩托车的行为,从实证上分析了违反台湾实施的鱼钩转弯区(HTA)的摩托车手的决定因素,以阻止摩托车手违反接近车辆的 ROW。混合(随机参数)对数模型被发现比传统的二项对数模型更能拟合数据。主要发现包括,在 T/Y 交叉口、农村地区、非高峰时段、骑手是女性、年轻骑手、骑手驾驶轻便摩托车或重型摩托车、交通量较少以及骑手戴半盔时,HTA 违规的可能性增加。最后提供了研究结果的意义、结论和对未来研究的建议。

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Chin J Traumatol. 2019 Apr;22(2):63-68. doi: 10.1016/j.cjtee.2018.07.007. Epub 2019 Mar 11.
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A comparative study on machine learning based algorithms for prediction of motorcycle crash severity.基于机器学习算法的摩托车事故严重程度预测的比较研究。
PLoS One. 2019 Apr 4;14(4):e0214966. doi: 10.1371/journal.pone.0214966. eCollection 2019.