Cloutier Marie-Soleil, Lachapelle Ugo, d'Amours-Ouellet Andrée-Anne, Bergeron Jacques, Lord Sébastien, Torres Juan
Centre Urbanisation Culture Société, Institut National de la Recherche Scientifique, 385, Sherbrooke Est, Montréal, QC H2X 1E3, Canada.
Department of Urban Studies and Tourism, École des sciences de la gestion, Université du Québec à Montréal, Case postale 8888, Succursale Centre-Ville, Montréal, QC H3C 3P8, Canada.
Accid Anal Prev. 2017 Jul;104:36-45. doi: 10.1016/j.aap.2017.04.015. Epub 2017 May 5.
Because pedestrian crash rates remain lower than other collision types, surrogate measures such as traffic interactions are now used in road safety research to complement crash history. Using naturalistic data collection, we sought to assess 1) the likelihood of occurrence of interactions between pedestrians and vehicles based on individual and crossing characteristics; and 2) differences in interaction characteristics between children, adult and senior pedestrians. Observations of pedestrian crossing behaviours (n=4687) were recorded at 278 crossings. For recorded interactions (n=843), information was collected to characterize the behaviours of involved parties. A mixed-effect logit regression model was performed to assess the factors associated with interactions. Chi-square tests evaluated differences between age groups and characteristics of observed interactions. Older adults were those more likely to be involved in an interaction event. Bicycle paths, different crossing surface material and one-way streets were significantly associated with fewer interactions with vehicles, while parked vehicles nearby and crossings on arterial roads were significantly associated with more interactions. Children and the elderly (80 years of age or more) did have distinct patterns of interaction, with more careful drivers/cyclists behaviours being observed towards children and lesser regulation compliance towards the elderly. Given the growing emphasis and adoption of active transportation in many cities, the number of interactions between pedestrians and vehicles during street crossings is likely to increase. Educating drivers and pedestrians to respect each other's space requires an understanding of where, between whom, and under what circumstances interactions occur. Such an approach can also help identify which engineering and enforcement programs are needed to ensure safe pedestrian crossings since interactions can be good markers of uncomfortable crossing situations that may deter walking and lead to more collisions.
由于行人碰撞率仍低于其他碰撞类型,目前道路安全研究中使用交通交互等替代措施来补充碰撞历史数据。通过自然主义数据收集,我们试图评估:1)基于个体和过街特征,行人与车辆之间发生交互的可能性;2)儿童、成年人和老年人行人在交互特征上的差异。在278个过街处记录了行人过街行为观察(n = 4687)。对于记录的交互(n = 843),收集了相关信息以描述相关各方的行为。进行了混合效应逻辑回归模型以评估与交互相关的因素。卡方检验评估了年龄组之间的差异以及观察到的交互特征。老年人更有可能参与交互事件。自行车道、不同的过街路面材料和单行道与车辆交互较少显著相关,而附近停放的车辆和主干道上的过街处与更多交互显著相关。儿童和老年人(80岁及以上)确实有不同的交互模式,观察到司机/骑自行车者对儿童的行为更谨慎,而对老年人的监管遵守情况较差。鉴于许多城市越来越重视并采用主动交通方式,过街时行人与车辆之间的交互数量可能会增加。教育司机和行人相互尊重对方空间需要了解交互发生的地点、对象以及情况。这种方法还可以帮助确定需要哪些工程和执法计划来确保行人安全过街,因为交互可以很好地标记出可能阻碍步行并导致更多碰撞的不舒适过街情况。