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汽车依赖对零伤亡愿景的阻碍:来自美国各州的证据

Automobile-dependency as a barrier to vision zero, evidence from the states in the USA.

作者信息

Ahangari Hamed, Atkinson-Palombo Carol, Garrick Norman W

机构信息

Department of Civil and Environmental Engineering, University of Connecticut, 300 South Street, F5, Vernon, CT, 06066, USA.

Department of Geography, University of Connecticut, 215 Glenbrook Road, U-4148, Storrs, CT, 06268, USA, USA.

出版信息

Accid Anal Prev. 2017 Oct;107:77-85. doi: 10.1016/j.aap.2017.07.012. Epub 2017 Aug 12.

Abstract

With a traffic fatality rate of 10.6 per 100,000 as of 2013-more than triple that in the UK, the Netherlands, and Sweden-the United States has the worst traffic safety performance of all developed countries. Statewide variations are even more pronounced. North Dakota registers more than twice the national average and five times the rate of Massachusetts. We used panel models and annual data from 1997 to 2013 to capture the effect of seven separate sets of factors that influence traffic safety: exposure, travel behavior, socioeconomics, macroeconomics, safety policies, and mitigating factors such as health care. The results of our panel models and supplementary analysis of state effects show that two variables - Vehicle Miles Traveled and Vehicles per Capita-have the strongest impact on traffic fatality rates. This is closely followed by Infant Mortality Rates, the proxy that we used to represent the quality of health care. Policy levers such as Graduated Driver's Licenses (GDL) have improved safety, but to a limited extent. We also found that states with higher urban density and more walking are associated with lower traffic fatality rates. Taken as a whole, our findings suggest that if additional progress is to be made in reducing traffic fatalities, emphasis needs to move beyond simply focusing on policies such as GDL and seat belt laws, which have already been adopted by almost all jurisdictions across the United States. We need to also consider factors that focus on the type of urban form that we are creating to ensure that we are fostering environments that encourage multi-modal transportation such as walking to reduce the VMT and Vehicles per Capita, the two strongest predictors of traffic fatalities.

摘要

截至2013年,美国每10万人中有10.6人死于交通事故,这一死亡率是英国、荷兰和瑞典的三倍多,在所有发达国家中交通安全表现最差。各州之间的差异更为明显。北达科他州的死亡率是全国平均水平的两倍多,是马萨诸塞州的五倍。我们使用了1997年至2013年的面板模型和年度数据,以捕捉影响交通安全的七组不同因素的作用:交通暴露、出行行为、社会经济、宏观经济、安全政策以及医疗保健等缓解因素。我们的面板模型结果和对州效应的补充分析表明,两个变量——车辆行驶里程和人均车辆拥有量——对交通死亡率的影响最大。其次是婴儿死亡率,我们用它来代表医疗保健质量。分级驾照(GDL)等政策手段提高了安全性,但程度有限。我们还发现,城市密度较高且步行较多的州,交通死亡率较低。总体而言,我们的研究结果表明,如果要在降低交通死亡人数方面取得更多进展,重点需要超越单纯关注分级驾照和安全带法律等政策,这些政策几乎已被美国所有司法管辖区采用。我们还需要考虑那些关注我们正在创建的城市形态类型的因素,以确保我们营造的环境能够鼓励多模式交通方式,比如步行,以减少车辆行驶里程和人均车辆拥有量,这两个交通死亡人数的最强预测指标。

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