Apasnore Peter, Ismail Karim, Kassim Ali
Civil and Environmental Engineering Department, Carleton University, Ottawa, ON, K1S 5B6, Canada.
Accid Anal Prev. 2017 Sep;106:141-148. doi: 10.1016/j.aap.2017.05.003. Epub 2017 Jun 10.
This paper studies the relevant factors in mixed urban traffic that may impact the lateral spacing between bicycles and vehicles (passing distance, PD), and their resulting effect on a bicyclists' comfort based on a study of six sites in Ottawa, Canada. The observations are: [i] the average position of bicycles from the curb is 0.57m, and lesser (i.e. 0.35m) in the presence of parking; [ii] 90% of passes exceed 1.23m; [iii] PD is positively correlated with motor vehicle speed, lane width, and bicycle position from adjacent curb edge line, whiles inversely correlated to ambient traffic density and bicycle speed; [iv] motor vehicle speed has the highest prediction of PD variability; [v] PD and ambient traffic density (ATD) are found to be the most important factors to a bicyclists' comfort perception (BCP). Two linear regression models for PD and BCP were developed and significant variables are identified as: motor vehicle speed, bicycle speed, ATD, number of lanes, and lane width. The presence or absence of a grade slope is found to be significant to the PD model and not to BCP. The models both exhibit limited predictive ability, however residual plots and significance of included variables are indicative of correct assumptions for the models. It is recommended that speed calming, sharrows, road signs instructing road sharing, and educating road users against "dooring" crashes be considered in improving road sharing, especially for narrow lanes (i.e. less than 3.6m) and lanes wider than 4.5m. It is also prudent for designers to avoid installing parking zones on narrow shared roads.
本文基于对加拿大渥太华六个地点的研究,探讨了城市混合交通中可能影响自行车与车辆横向间距(超车距离,PD)的相关因素,以及这些因素对骑行者舒适度的影响。观察结果如下:[i] 自行车距路边的平均位置为0.57米,在有停车位的情况下该距离较小(即0.35米);[ii] 90%的超车距离超过1.23米;[iii] 超车距离与机动车速度、车道宽度以及自行车距相邻路边线的位置呈正相关,而与周围交通密度和自行车速度呈负相关;[iv] 机动车速度对超车距离变化的预测能力最强;[v] 超车距离和周围交通密度(ATD)被发现是影响骑行者舒适度感知(BCP)的最重要因素。建立了两个关于超车距离和骑行者舒适度感知的线性回归模型,并确定显著变量为:机动车速度、自行车速度、周围交通密度、车道数量和车道宽度。发现坡度的有无对超车距离模型有显著影响,而对骑行者舒适度感知模型无显著影响。这两个模型的预测能力都有限,然而残差图和所含变量的显著性表明模型的假设是正确的。建议在改善道路共享时考虑实施减速措施、设置自行车道指示标志、设置指示道路共享的路标以及对道路使用者进行防止“车门碰撞”事故的教育,特别是对于狭窄车道(即小于3.6米)和宽于4.5米的车道。对于设计师来说,避免在狭窄的共享道路上设置停车区也是明智的。