Abstract

This study focuses on fully investigating the effects of bicycle facilities and other contributing features on bicycle crashes at intersections. Although multiple studies have been conducted to analyze bicycle crashes and volumes, no study to date has attempted to integrate bicycle crashes and volumes at the modeling stage. Thus, a novel methodological framework for simultaneously analyzing bicycle crashes and volumes is proposed to better identify the effects of bicycle facilities and other contributing features. Kruskal–Wallis test is adopted to classify different bicycle lanes and shared paths for the modeling analysis. The modeling results reveal the significant effects of bicycle facility-related factors such as different types of bicycle lanes, the width of shared path, and the distance between the shared path and the edge of roadway on bicycle crashes. Other factors such as vehicle volume, bicycle volume, number of lanes, percentage of government and institutional land use, and population density are also found to significantly affect bicycle crashes at intersections. Based on the estimated model, the safety-in-numbers effect was identified when bicycle crash rates decrease as bicycle volumes increase. Findings in this study could assist traffic engineers to select appropriate designs to improve bicycle safety at intersections.

摘要

本研究的重点是全面调查自行车设施和其他影响因素对十字路口自行车碰撞事故的影响。尽管已经进行了多项研究来分析自行车碰撞和体积，但迄今为止还没有研究尝试在建模阶段整合自行车碰撞和体积。因此，提出了一种用于同时分析自行车碰撞和数量的新方法框架，以更好地识别自行车设施和其他影响特征的影响。采用 Kruskal-Wallis 检验对不同的自行车道和共享路径进行分类以进行建模分析。建模结果揭示了自行车设施相关因素的显着影响，如不同类型的自行车道、共享路径的宽度、以及共享路径与自行车碰撞道路边缘之间的距离。其他因素，如车辆数量、自行车数量、车道数量、政府和机构土地使用的百分比以及人口密度，也被发现会显着影响十字路口的自行车事故。根据估计模型，当自行车碰撞率随着自行车数量增加而降低时，安全数量效应被确定。这项研究的结果可以帮助交通工程师选择合适的设计来提高十字路口的自行车安全。当自行车碰撞率随着自行车数量增加而降低时，就确定了数量安全效应。这项研究的结果可以帮助交通工程师选择合适的设计来提高十字路口的自行车安全。当自行车碰撞率随着自行车数量增加而降低时，就确定了数量安全效应。这项研究的结果可以帮助交通工程师选择合适的设计来提高十字路口的自行车安全。