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出行方式如何影响对其他道路使用者构成的风险?纳入性别和道路类型的英国道路死亡数据分析。

How does mode of travel affect risks posed to other road users? An analysis of English road fatality data, incorporating gender and road type.

机构信息

Active Travel Academy; School of Architecture and Cities, University of Westminster, London, UK

MRC Biostatistics Unit/Centre for Diet and Activity Research, University of Cambridge, Cambridge, UK.

出版信息

Inj Prev. 2021 Feb;27(1):71-76. doi: 10.1136/injuryprev-2019-043534. Epub 2020 Apr 6.

Abstract

BACKGROUND

Most analysis of road injuries examines the risk experienced by people using different modes of transport, for instance, pedestrian fatalities per-head or per-km. A small but growing field analyses the impact that the use of different transport modes has on other road users, for instance, injuries to others per-km driven.

METHODS

This paper moves the analysis of risk posed to others forward by comparing six different vehicular modes, separating road types (major vs minor roads in urban vs rural settings). The comparison of risk posed by men and women for all these modes is also novel.

RESULTS

Per-vehicle kilometre, buses and lorries pose much the highest risk to others, while cycles pose the lowest. Motorcycles pose a substantially higher per-km risk to others than cars. The fatality risk posed by cars or vans to ORUs per km is higher in rural areas. Risk posed is generally higher on major roads, although not in the case of lorries, suggesting a link to higher speeds. Men pose higher per-km risk to others than women for all modes except buses, as well as being over-represented among users of the most dangerous vehicles.

CONCLUSIONS

Future research should examine more settings, adjust for spatial and temporal confounders, or examine how infrastructure or route characteristics affect risk posed to others. Although for most victims the other vehicle involved is a car, results suggest policy-makers should also seek to reduce disproportionate risks posed by the more dangerous vehicles, for instance, by discouraging motorcycling. Finally, given higher risk posed to others by men across five of six modes analysed, policy-makers should consider how to reduce persistent large gender imbalances in jobs involving driving.

摘要

背景

大多数道路伤害分析研究的是使用不同交通方式的人所面临的风险,例如,每人头或每公里的行人死亡率。一个规模虽小但不断发展的领域分析了使用不同交通方式对其他道路使用者的影响,例如,每公里驾驶造成的他人伤害。

方法

本文通过比较六种不同的车辆模式,将对他人构成的风险分析向前推进,同时将道路类型(城市和农村的主要道路与次要道路)分开。对所有这些模式下男性和女性所构成风险的比较也是新颖的。

结果

每辆车公里数,公共汽车和卡车对他人构成的风险最高,而自行车则最低。摩托车对他人的每公里风险比汽车高得多。每公里汽车或面包车对其他道路使用者(ORU)构成的死亡风险在农村地区更高。风险普遍在主要道路上更高,尽管对于卡车来说并非如此,这表明与更高的速度有关。对于除公共汽车以外的所有模式,男性对他人的每公里风险都高于女性,而且在最危险车辆的使用者中占比过高。

结论

未来的研究应该在更多的环境中进行,调整空间和时间混杂因素,或研究基础设施或路线特征如何影响对他人构成的风险。尽管对于大多数受害者来说,涉及的另一辆车是汽车,但研究结果表明,政策制定者还应寻求降低更危险车辆构成的不成比例的风险,例如,通过劝阻骑摩托车。最后,鉴于男性在分析的六种模式中的五种模式中对他人构成的风险更高,政策制定者应考虑如何减少涉及驾驶的工作中持续存在的巨大性别失衡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fab/7848050/19f37933389f/injuryprev-2019-043534f01.jpg

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