Paturi Rasagna, Agrawal Srishti, Bilam Sumit, Bhalla Kavi, Goel Rahul
Transportation Research and Injury Prevention Centre, Indian Institute of Technology Delhi, New Delhi, Delhi, India.
Public Health Sciences, University of Chicago, Chicago, Illinois, USA.
Inj Prev. 2024 Oct 24. doi: 10.1136/ip-2024-045262.
There is a lack of evidence on interventions to improve the safety of cycling use in low- and middle-income countries. We investigated the impact of road design and traffic characteristics on the fatality risk of bicyclists.
Our study population is the road sites in the peri-urban areas of New Delhi, India. We used a retrospective, population-based case-control study design. We identified 50 case sites (road locations) where a fatal cycle crash had occurred over a 3-year period. For control sites, we intercepted and interviewed three cyclists at each case site, mapped their route to the crash location using Google Maps and selected one random location on each of those routes as controls. We recorded traffic and road design characteristics at the case and control sites. We used a logistic regression model to estimate ORs of site characteristics.
We found a strong effect of the presence of U-turns on the likelihood of a bicycle fatality, with an OR of 4.4 (95% CI 1.8, 11.5). This effect is robust against multiple sensitivity analyses. We found that the volume of cars is associated with an increased likelihood and that of motorcycles with a reduced likelihood of bicycle fatalities.
Our results indicate that the presence of U-turns is a strong risk factor for bicycle fatalities in Delhi. Given the strong evidence of their impact on the safety of bicyclists, their construction should be discontinued in zones of high bicycle presence.
在低收入和中等收入国家,缺乏关于改善自行车使用安全性干预措施的证据。我们调查了道路设计和交通特征对骑自行车者死亡风险的影响。
我们的研究对象是印度新德里城郊地区的道路地点。我们采用了一项基于人群的回顾性病例对照研究设计。我们确定了50个病例地点(道路位置),这些地点在3年期间发生了致命的自行车撞车事故。对于对照地点,我们在每个病例地点拦截并采访了三名骑自行车者,使用谷歌地图绘制他们前往撞车地点的路线,并在这些路线上各随机选择一个地点作为对照。我们记录了病例和对照地点的交通和道路设计特征。我们使用逻辑回归模型来估计地点特征的比值比(OR)。
我们发现掉头的存在对自行车死亡可能性有强烈影响,OR为4.4(95%置信区间1.8,11.5)。在多次敏感性分析中,这种影响都是稳健的。我们发现汽车流量与自行车死亡可能性增加相关,而摩托车流量与自行车死亡可能性降低相关。
我们的结果表明,掉头的存在是德里自行车死亡的一个强烈风险因素。鉴于其对骑自行车者安全影响的有力证据,在自行车流量大的区域应停止设置掉头。