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Journey Attributes, E-Bike Use, and Perception of Driving Behavior of Motorists as Predictors of Bicycle Crash Involvement and Severity
Transportation Research Record: Journal of the Transportation Research Board ( IF 1.6 ) Pub Date : 2020-10-22 , DOI: 10.1177/0361198120953787
Gabriele Prati 1 , Marco De Angelis 1 , Federico Fraboni 1 , Luca Pietrantoni 1 , Daniel Johnson 2 , Jeremy Shires 2
Affiliation  

Previous studies have revealed the relevance of e-bike use, perception of driving behavior of motorists, and instrumental and affective factors in work and leisure journeys among regular cyclists. However, the importance of these factors as predictors of bicycle crash involvement and severity is less well-known. The aim of the present study was to investigate the role of journey attributes, e-bike use, and perception of driving behavior of motorists in predicting bicycle crash involvement and severity, while controlling for sociodemographic factors, cycling levels, cycling environment, and purposes of cycling. We collected data from an online panel of 2,389 respondents from six European countries (Sweden, Netherlands, United Kingdom, Hungary, Italy, Spain). Using the generalized linear model, we found that both bicycle crash involvement and severity were related to lower age, being employed, using the bicycle for traveling to or from college/university, not using the bicycle for leisure/training, and using an e-bike. Bicycle crash severity was associated with lower affective attributes, higher instrumental attributes, and the perception of good driving behavior of motorists.



中文翻译:

旅程属性,电动自行车的使用以及对驾驶者的驾驶行为的感知,这些预测因素是自行车碰撞参与程度和严重性的预测指标

先前的研究已经揭示了电动自行车的使用,驾车者的驾驶行为的感知以及普通骑车者在工作和休闲旅行中的影响因素的相关性。但是,这些因素作为预测自行车撞车事故和严重程度的重要因素还不太为人所知。本研究的目的是调查旅途属性,电动自行车的使用以及驾驶者的驾驶行为感知在预测自行车撞车事故的发生和严重程度方面的作用,同时控制社会人口统计学因素,自行车的水平,自行车的环境和目的。循环。我们收集了来自六个欧洲国家(瑞典,荷兰,英国,匈牙利,意大利,西班牙)的2389名受访者的在线面板数据。使用广义线性模型,我们发现,自行车撞车事故的发生和严重程度均与低年龄,被雇用,使用自行车往返大学/大学,不使用自行车进行休闲/培训以及使用电动自行车有关。自行车撞车的严重程度与较低的情感属性,较高的乐器属性以及对驾驶员良好驾驶行为的感知有关。

更新日期:2020-10-29
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