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The estimated effect of mass or footprint reduction in recent light-duty vehicles on U.S. societal fatality risk per vehicle mile traveled

机译:最近减少的轻型车辆的质量或占地面积减少对每行驶1英里所造成的美国社会死亡风险的估计影响

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The National Highway Traffic Safety Administration (NHTSA) recently updated its 2003 and 2010 logistic regression analyses of the effect of a reduction in light-duty vehicle mass on US societal fatality risk per vehicle mile traveled (VMT; Kahane, 2012). Societal fatality risk includes the risk to both the occupants of the case vehicle as well as any crash partner or pedestrians. The current analysis is the most thorough investigation of this issue to date. This paper replicates the Kahane analysis and extends it by testing the sensitivity of his results to changes in the definition of risk, and the data and control variables used in the regression models. An assessment by Lawrence Berkeley National Laboratory (LBNL) indicates that the estimated effect of mass reduction on risk is smaller than in Kahane's previous studies, and is statistically non-significant for all but the lightest cars (Wenzel, 2012a). The estimated effects of a reduction in mass or footprint (i.e. wheelbase times track width) are small relative to other vehicle, driver, and crash variables used in the regression models. The recent historical correlation between mass and footprint is not so large to prohibit including both variables in the same regression model; excluding footprint from the model, i.e. allowing footprint to decrease with mass, increases the estimated detrimental effect of mass reduction on risk in cars and crossover utility vehicles (CUVs)/minivans, but has virtually no effect on light trucks. Analysis by footprint deciles indicates that risk does not consistently increase with reduced mass for vehicles of similar footprint. Finally, the estimated effects of mass and footprint reduction are sensitive to the measure of exposure used (fatalities per induced exposure crash, rather than per VMT), as well as other changes in the data or control variables used. It appears that the safety penalty from lower mass can be mitigated with careful vehicle design, and that manufacturers can reduce mass as a strategy to increase their vehicles' fuel economy and reduce greenhouse gas emissions without necessarily compromising societal safety.
机译:美国国家公路交通安全管理局(NHTSA)最近更新了其2003年和2010年的逻辑回归分析,分析了轻型车辆质量减少对每行驶1英里所造成的美国社会死亡风险的影响(VMT; Kahane,2012年)。社会死亡风险包括对案例车辆的乘员以及任何碰撞伙伴或行人的风险。当前的分析是迄今为止对此问题最彻底的调查。本文复制了Kahane分析,并通过测试他的结果对风险定义变化以及回归模型中使用的数据和控制变量的敏感性来扩展它。劳伦斯·伯克利国家实验室(LBNL)的一项评估表明,减少质量对风险的估计影响要比Kahane先前的研究要小,除最轻的汽车外,其他所有统计数据均无统计学意义(Wenzel,2012a)。相对于回归模型中使用的其他车辆,驾驶员和碰撞变量,减少质量或占地面积(即轴距乘以轨道宽度)的估计效果较小。质量和足迹之间的近期历史相关性并不大,以至于不能将两个变量都包含在同一回归模型中。从模型中排除足迹,即允许足迹随质量减少,增加了质量减少对汽车和跨界多用途车(CUV)/小型货车的风险的估计有害影响,但对轻型卡车几乎没有影响。按足迹十分位数进行分析表明,对于占地面积相似的车辆,随着质量的降低,风险并不会持续增加。最后,减少质量和减少足迹的估计效果对所用暴露量度(每次引发的暴露事故而不是每个VMT的致命性)以及所用数据或控制变量的其他变化都很敏感。似乎可以通过精心设计车辆来减轻质量减轻带来的安全损失,而且制造商可以将重量减轻作为提高车辆燃油经济性和减少温室气体排放的一种策略,而不必损害社会安全。

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