Mulvaney Caroline A, Smith Sherie, Watson Michael C, Parkin John, Coupland Carol, Miller Philip, Kendrick Denise, McClintock Hugh
Research Design Service, School of Medicine, The University of Nottingham, Room 2106, C Floor, South Block, Queen's Medical Centre, Nottingham, UK, NG7 2UH.
Cochrane Database Syst Rev. 2015 Dec 10;2015(12):CD010415. doi: 10.1002/14651858.CD010415.pub2.
Cycling is an attractive form of transport. It is beneficial to the individual as a form of physical activity that may fit more readily into an individual's daily routine, such as for cycling to work and to the shops, than other physical activities such as visiting a gym. Cycling is also beneficial to the wider community and the environment as a result of fewer motorised journeys. Cyclists are seen as vulnerable road users who are frequently in close proximity to larger and faster motorised vehicles. Cycling infrastructure aims to make cycling both more convenient and safer for cyclists. This review is needed to guide transport planning.
To:1. evaluate the effects of different types of cycling infrastructure on reducing cycling injuries in cyclists, by type of infrastructure;2. evaluate the effects of cycling infrastructure on reducing the severity of cycling injuries in cyclists;3. evaluate the effects of cycling infrastructure on reducing cycling injuries in cyclists with respect to age, sex and social group.
We ran the most recent search on 2nd March 2015. We searched the Cochrane Injuries Group Specialised Register, CENTRAL (The Cochrane Library), MEDLINE (OvidSP), Embase Classic + Embase(OvidSP), PubMed and 10 other databases. We searched websites, handsearched conference proceedings, screened reference lists of included studies and previously published reviews and contacted relevant organisations.
We included randomised controlled trials, cluster randomised controlled trials, controlled before-after studies, and interrupted time series studies which evaluated the effect of cycling infrastructure (such as cycle lanes, tracks or paths, speed management, roundabout design) on cyclist injury or collision rates. Studies had to include a comparator, that is, either no infrastructure or a different type of infrastructure. We excluded studies that assessed collisions that occurred as a result of competitive cycling.
Two review authors examined the titles and abstracts of papers obtained from searches to determine eligibility. Two review authors extracted data from the included trials and assessed the risk of bias. We carried out a meta-analysis using the random-effects model where at least three studies reported the same intervention and outcome. Where there were sufficient studies, as a secondary analysis we accounted for changes in cyclist exposure in the calculation of the rate ratios. We rated the quality of the evidence as 'high', 'moderate', 'low' or 'very low' according to the GRADE approach for the installation of cycle routes and networks.
We identified 21 studies for inclusion in the review: 20 controlled before-after (CBA) studies and one interrupted time series (ITS) study. These evaluated a range of infrastructure including cycle lanes, advanced stop lines, use of colour, cycle tracks, cycle paths, management of the road network, speed management, cycle routes and networks, roundabout design and packages of measures. No studies reported medically-attended or self-reported injuries. There was no evidence that cycle lanes reduce the rate of cycle collisions (rate ratio 1.21, 95% CI 0.70 to 2.08). Taking into account cycle flow, there was no difference in collisions for cyclists using cycle routes and networks compared with cyclists not using cycle routes and networks (RR 0.40, 95% CI 0.15 to 1.05). There was statistically significant heterogeneity between the studies (I² = 75%, Chi² = 8.00 df = 2, P = 0.02) for the analysis adjusted for cycle flow. We judged the quality of the evidence regarding cycle routes and networks as very low and we are very uncertain about the estimate. These analyses are based on findings from CBA studies.From data presented narratively, the use of 20 mph speed restrictions in urban areas may be effective at reducing cyclist collisions. Redesigning specific parts of cycle routes that may be particularly busy or complex in terms of traffic movement may be beneficial to cyclists in terms of reducing the risk of collision. Generally, the conversion of intersections to roundabouts may increase the number of cycle collisions. In particular, the conversion of intersections to roundabouts with cycle lanes marked as part of the circulating carriageway increased cycle collisions. However, the conversion of intersections with and without signals to roundabouts with cycle paths may reduce the odds of collision. Both continuing a cycle lane across the mouth of a side road with a give way line onto the main road, and cycle tracks, may increase the risk of injury collisions in cyclists. However, these conclusions are uncertain, being based on a narrative review of findings from included studies. There is a lack of evidence that cycle paths or advanced stop lines either reduce or increase injury collisions in cyclists. There is also insufficient evidence to draw any robust conclusions concerning the effect of cycling infrastructure on cycling collisions in terms of severity of injury, sex, age, and level of social deprivation of the casualty.In terms of quality of the evidence, there was little matching of intervention and control sites. In many studies, the comparability of the control area to the intervention site was unclear and few studies provided information on other cycling infrastructures that may be in place in the control and intervention areas. The majority of studies analysed data routinely collected by organisations external to the study team, thus reducing the risk of bias in terms of systematic differences in assessing outcomes between the control and intervention groups. Some authors did not take regression-to-mean effects into account when examining changes in collisions. Longer data collection periods pre- and post-installation would allow for regression-to-mean effects and also seasonal and time trends in traffic volume to be observed. Few studies adjusted cycle collision rates for exposure.
AUTHORS' CONCLUSIONS: Generally, there is a lack of high quality evidence to be able to draw firm conclusions as to the effect of cycling infrastructure on cycling collisions. There is a lack of rigorous evaluation of cycling infrastructure.
骑自行车是一种颇具吸引力的出行方式。作为一种体育活动形式,它对个人有益,相较于其他体育活动(如去健身房锻炼),它可能更容易融入个人的日常生活,比如骑车上班和去商店购物。由于机动车出行减少,骑自行车对更广泛的社区和环境也有益。骑自行车的人被视为道路上的弱势群体,他们经常与更大、更快的机动车近距离接触。自行车基础设施旨在让骑自行车的人出行更便捷、更安全。本综述旨在为交通规划提供指导。
我们于2015年3月2日进行了最新检索。我们检索了Cochrane损伤组专业注册库、CENTRAL(Cochrane图书馆)、MEDLINE(OvidSP)、Embase Classic + Embase(OvidSP)、PubMed以及其他10个数据库。我们还检索了网站,手工检索了会议论文集,筛选了纳入研究和先前发表综述的参考文献列表,并联系了相关组织。
我们纳入了随机对照试验、整群随机对照试验、前后对照研究以及中断时间序列研究,这些研究评估了自行车基础设施(如自行车道、自行车道、道路管理、速度管理、环岛设计)对骑自行车者受伤或碰撞率的影响。研究必须包括一个对照,即要么没有基础设施,要么是不同类型的基础设施。我们排除了评估因自行车竞赛导致的碰撞的研究。
两位综述作者检查了检索获得的论文的标题和摘要,以确定其是否符合纳入标准。两位综述作者从纳入的试验中提取数据,并评估偏倚风险。当至少有三项研究报告了相同的干预措施和结果时,我们使用随机效应模型进行荟萃分析。在有足够研究的情况下,作为次要分析,我们在计算率比时考虑了骑自行车者暴露的变化。根据GRADE方法,我们将关于自行车道和网络设置的证据质量评为“高”“中”“低”或“极低”。
我们确定了21项研究纳入本综述:20项前后对照(CBA)研究和1项中断时间序列(ITS)研究。这些研究评估了一系列基础设施,包括自行车道、提前停止线、颜色使用、自行车道、自行车道、道路网络管理、速度管理、自行车道和网络、环岛设计以及综合措施包。没有研究报告就医或自我报告的伤害情况。没有证据表明自行车道能降低自行车碰撞率(率比1.21,95%置信区间0.70至2.08)。考虑到自行车流量,使用自行车道和网络的骑自行车者与未使用自行车道和网络的骑自行车者的碰撞情况没有差异(风险比0.40,95%置信区间0.15至1.05)。在针对自行车流量进行调整的分析中,研究之间存在统计学上显著的异质性(I² = 75%,卡方 = 8.00,自由度 = 2,P = 0.02)。我们将关于自行车道和网络的证据质量判断为极低,并且我们对该估计非常不确定。这些分析基于CBA研究的结果。从叙述性呈现的数据来看,在城市地区使用每小时20英里的速度限制可能有效减少骑自行车者的碰撞。重新设计自行车道中交通流量特别繁忙或复杂的特定部分,在降低碰撞风险方面可能对骑自行车者有益。一般来说,将十字路口改造成环岛可能会增加自行车碰撞的数量。特别是,将十字路口改造成在环形车道上标记自行车道的环岛会增加自行车碰撞。然而,将有信号灯和无信号灯的十字路口改造成设有自行车道的环岛可能会降低碰撞几率。在支路路口设置让行线并延续自行车道至主干道,以及自行车道,都可能增加骑自行车者受伤碰撞的风险。然而,这些结论并不确定,是基于对纳入研究结果的叙述性综述得出的。缺乏证据表明自行车道或提前停止线能减少或增加骑自行车者的受伤碰撞。也没有足够的证据就自行车基础设施对不同性别、年龄、伤亡者社会剥夺程度的骑自行车者碰撞严重程度的影响得出任何有力结论。在证据质量方面,干预和对照地点几乎没有匹配。在许多研究中,对照区域与干预地点的可比性不明确,很少有研究提供关于对照和干预区域可能存在的其他自行车基础设施的信息。大多数研究分析了研究团队外部组织常规收集的数据,从而降低了在评估对照和干预组结果时因系统差异导致的偏倚风险。一些作者在检查碰撞变化时没有考虑回归均值效应。安装前后更长的数据收集期将有助于观察回归均值效应以及交通流量的季节性和时间趋势。很少有研究对自行车碰撞率进行暴露调整。
总体而言,缺乏高质量证据来确定自行车基础设施对自行车碰撞的影响。对自行车基础设施缺乏严格评估。