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Cycling injury risk in Britain: A case-crossover study of infrastructural and route environment correlates
Accident Analysis & Prevention ( IF 6.376 ) Pub Date : 2021-03-16 , DOI: 10.1016/j.aap.2021.106063
Georgios Kapousizis 1 , Anna Goodman 2 , Rachel Aldred 1
Affiliation  

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.



中文翻译:

英国的骑自行车伤害风险:基础设施和路线环境之间的案例交叉研究

本文研究了英国自行车伤害风险的基础设施和路线环境相关性。我们使用了案例交叉设计,从模拟的骑车人路线中随机选择控制地点,并将其与骑车人受伤的地点进行比较。然后,我们将条件逻辑回归用于匹配的病例-对照组模型,以比较对照和损伤部位的特征。

交叉口与受伤风险密切相关。在最终调整后的模型中,高街与受伤风险升高相关,主要道路类型和下坡坡度也更高。较低的速度限制和较低的机动车交通连通性最初与较低的伤害风险相关,但是在调整后的模型中,这些影响不再具有统计学显着性。在所有模型中,增加的道路宽度与增加的受伤风险相关。

在所有车型中,受伤风险的增加与公交专用道(在车站处有所缓解),护栏以及加油站或停车场的存在有关。在完全调整的模型中,街景数据中存在停放的汽车会增加人身伤害的风险,而交通拥塞(通过低早高峰速度来衡量)也会增加受伤的风险,而沿街骑自行车的人数量越大,交通拥堵的风险就越大。

在完全调整的模型中,风险的统计上显着增加与公路上涂有油漆的自行车道有关。在控制和受伤地点,大多数自行车道或步道都很差,车道狭窄,人行道共享且在交叉路口缺乏保护。鉴于其他研究表明自行车基础设施的保护作用,英国必须创造更高质量的自行车,避免在狭窄的涂漆车道上行驶。

更新日期:2021-03-16
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