University of Westminster, United Kingdom.
London School of Hygiene and Tropical Medicine, United Kingdom.
Accid Anal Prev. 2021 May;154:106063. doi: 10.1016/j.aap.2021.106063. Epub 2021 Mar 16.
This paper examines infrastructural and route environment correlates of cycling injury risk in Britain. We used a case-crossover design, randomly selecting control sites from modelled cyclist routes, comparing these with sites where cyclists were injured. We then used conditional logistic regression for matched case-control groups modelling to compare characteristics of control and injury sites. Intersections were strongly associated with injury risk. High streets were associated with an elevated injury risk in final adjusted models, as was road type being primary, and a more downhill gradient. Lower speed limits and lower motor traffic connectivity were initially associated with lower injury risk, but these effects were no longer statistically significant in adjusted models. Increased road width was associated with increased injury risk in all models. Increased injury risk was associated in all models with presence of bus lane (somewhat mitigated at stops), guardrail, and fuel station or parking lot. Presence of parked cars in street view data raised injury risk in fully adjusted models, as did congestion (measured by low morning peak speeds), while higher volumes of people cycling along the street reduced it. In fully adjusted models, a statistically significant increase in risk was associated with presence of an on-road painted cycle lane. Most cycle lanes or tracks at control and injury sites were very poor, with narrow lanes, shared footways, and lack of protection at junctions. Given findings from other studies showing protective effects of cycle infrastructure, Britain must create higher quality cycle provision, avoiding narrow on-road painted lanes.
本文考察了英国基础设施和路线环境与自行车事故风险的相关性。我们使用病例交叉设计，从模拟的自行车路线中随机选择对照点，将这些对照点与发生事故的自行车点进行比较。然后，我们使用条件逻辑回归对匹配的病例对照组进行建模，比较对照点和事故点的特征。交叉口与受伤风险密切相关。高街与受伤风险增加有关，在最终调整模型中，道路类型为主要道路，坡度更陡。较低的限速和较低的机动车交通连通性最初与较低的受伤风险相关，但在调整后的模型中，这些影响不再具有统计学意义。道路宽度增加与所有模型中的受伤风险增加有关。在所有模型中，存在公共汽车道（在停车站有所缓解）、护栏、加油站或停车场与受伤风险增加有关。街景数据中存在停放的汽车在完全调整的模型中增加了受伤风险，而交通拥堵（通过低早高峰速度来衡量）则增加了受伤风险，而在街道上骑自行车的人数增加则降低了受伤风险。在完全调整的模型中，与存在道路上的自行车专用道相关的风险呈统计学显著增加。在对照点和事故点的大多数自行车道或自行车道都非常差，车道狭窄，与行人共享，交叉口缺乏保护。考虑到其他研究表明自行车基础设施具有保护作用，英国必须创造更高质量的自行车设施，避免狭窄的道路上的自行车专用道。
