Department of Planning and Transport, faculty of Architecture and the Built Environment, Westminster University, London, UK.
UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Inj Prev. 2019 Jun;25(3):236-241. doi: 10.1136/injuryprev-2017-042498. Epub 2017 Nov 30.
The 'Safety in Numbers' (SiN) phenomenon refers to a decline of injury risk per time or distance exposed as use of a mode increases. It has been demonstrated for cycling using cross-sectional data, but little evidence exists as to whether the effect applies longitudinally -that is, whether changes in cycling levels correlate with changes in per-cyclist injury risks.
This paper examines cross-sectional and longitudinal SiN effects in 202 local authorities in Britain, using commuting data from 1991, 2001 and 2011 censuses plus police -recorded data on 'killed and seriously injured' (KSI) road traffic injuries. We modelled a log-linear relationship between number of injuries and number of cycle commuters. Second, we conducted longitudinal analysis to examine whether local authorities where commuter cycling increased became safer (and vice versa).
The paper finds a cross-sectional SiN effect exists in the 1991, 2001 and 2011 censuses. The longitudinal analysis also found a SiN effect, that is, places where cycling increased were more likely to become safer than places where it had declined. Finally, these longitudinal results are placed in the context of changes in pedestrian, cyclist and motorist safety. While between 1991 and 2001 all modes saw declines in KSI risk (37% for pedestrians, 36% for cyclists and 27% for motor vehicle users), between 2001 and 2011 pedestrians and motorists saw even more substantial declines (41% and 49%), while risk for cyclists increased by 4%.
The SiN mechanism does seem to operate longitudinally as well as cross-sectionally. However, at a national level between 2001-11 it co-existed with an increase in cyclist injury risk both in absolute terms and in relation to other modes.
“数量安全”(SiN)现象是指随着使用模式的增加,每暴露时间或距离的受伤风险下降。 已有研究使用横断面数据证明了自行车的这种现象,但关于该效应是否具有纵向效果(即,自行车使用水平的变化是否与每个骑车人受伤风险的变化相关),证据很少。
本文使用 1991 年、2001 年和 2011 年的人口普查数据以及警察记录的“死亡和重伤”(KSI)道路交通伤害数据,检查了英国 202 个地方当局的横断面和纵向 SiN 效应。我们建立了一个对数线性模型,用于研究受伤人数与骑自行车通勤者人数之间的关系。其次,我们进行了纵向分析,以检验通勤自行车数量增加的地方是否变得更安全(反之亦然)。
本文发现 1991 年、2001 年和 2011 年的人口普查数据中存在横断面 SiN 效应。纵向分析还发现了 SiN 效应,即自行车数量增加的地方比自行车数量减少的地方更有可能变得更安全。最后,将这些纵向结果置于行人、骑自行车者和机动车驾驶者安全变化的背景下。虽然在 1991 年至 2001 年期间,所有模式的 KSI 风险都有所下降(行人下降 37%,骑自行车者下降 36%,机动车使用者下降 27%),但在 2001 年至 2011 年期间,行人及机动车驾驶者的风险下降幅度更大(分别为 41%和 49%),而骑自行车者的风险增加了 4%。
SiN 机制似乎不仅具有横断面效果,而且具有纵向效果。但是,在 2001 年至 2011 年期间,在全国范围内,与其他模式相比,无论是绝对风险还是相对风险,自行车受伤风险都在增加。