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On-road bicycle lane types, roadway characteristics, and risks for bicycle crashes

机译:公路自行车道类型,道路特征和自行车撞车风险

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Bicycle lanes reduce real and perceived risks for bicycle vs. motor vehicle crashes, reducing the burden of traffic injuries and contributing to greater cycling participation. Previous research indicates that the effectiveness of bicycle lanes differs according to roadway characteristics, and that bicycle lane types are differentially associated with reduced crash risks. The aim of this study is to combine these perspectives and identify the types of on-road bicycle lanes that are associated with the greatest reductions in bicycle crashes given the presence of specific roadway characteristics. We compiled a cross sectional spatial dataset consisting of 32,444 intersection polygons and 57,285 street segment polygons representing the roadway network for inner Melbourne, Australia. The dependent measure was a dichotomous indicator for any bicycle crash (2014-2017). Independent measures were bicycle lanes (exclusive bicycle lanes, shared bicycle and parking lanes, marked wide kerbside lanes, and kerbside bicycle lanes) and other roadway characteristics (speed limit, bus routes, tram routes, bridges, one-way flow, traffic lane width). In Bayesian conditional autoregressive logit models, bicycle lanes of all types were associated with decreased crash odds where speeds were greater, bus routes and tram stops were present, and traffic lanes were narrower. Only exclusive bicycle lanes were associated with reduced crash odds (compared to the expected odds given the presence of the bicycle lane and the roadway conditions) in all these setting. The extent to which on-road bicycle lanes reduce crash risks depends on the bicycle lane type, the roadway conditions, and the combination of these two factors. Bicycle lanes that provide greater separation between cyclists and vehicular traffic are most consistently protective.
机译:自行车道减少了自行车与机动车相撞的真实和可感知的风险,减轻了交通伤害的负担,并促进了更多的骑车参与。先前的研究表明,自行车道的有效性因道路特征而异,并且自行车道类型与降低的碰撞风险有不同的关联。这项研究的目的是结合这些观点,并确定在存在特定道路特征的情况下,与最大程度减少自行车事故相关的公路自行车道类型。我们编辑了一个由32,444个交叉点多边形和57,285个路段多边形组成的横截面空间数据集,它们代表澳大利亚内墨尔本的道路网络。相关指标是任何自行车碰撞事故的二分指标(2014-2017年)。独立措施包括自行车道(专用自行车道,共享自行车和停车道,明显的路边车道和路边自行车道)和其他道路特征(限速,公交路线,电车路线,桥梁,单向流量,行车道宽度)。在贝叶斯条件自回归logit模型中,各种类型的自行车道与降低的事故几率相关,在这些情况下,速度更高,存在公交路线和电车站且行车道更窄。在所有这些设置中,只有专用自行车道与降低的碰撞几率相关(与考虑到自行车道的存在和道路状况的预期几率相比)。公路自行车道减少碰撞风险的程度取决于自行车道类型,道路状况以及这两个因素的组合。在骑自行车者和车辆之间提供更大距离的自行车道是最一致的保护措施。

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