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Counting vehicle miles traveled: What can we learn from the NHTS?

机译:计算车里线旅行:我们可以从NHTS中学到什么?

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An accurate estimate of vehicle miles traveled (VMT) is an essential input into a variety of emissions, climate change, energy and infrastructure-planning models. We examine different measures of annual miles driven from the 2017 National Household Travel Survey (NHTS), which includes a self-reported and an imputed measure of annual VMT for a nationally representative sample of U.S. households. We compute two additional estimates from the odometer reading, and the trip diary information contained in the NHTS, respectively. We compare these four measures of annual VMT, seek to identify low/high mileage segments of the fleet, and examine the quality of the data and their internal validity. The price elasticity of VMT (-0.275 to -0.20) is comparable across these four measures. Quantile regressions indicate that the households with higher driving intensity are less responsive to the fuel cost per mile. As cars get older, the difference between the four VMT measures tends to increase; this implies large discrepancies in the CO2 emissions that would be saved, for example, when older cars are removed from the fleet, due to natural turnover or when "cash for clunkers" programs are implemented.
机译:准确的估计估计车里(VMT)是一种重要的输入,进入各种排放,气候变化,能源和基础设施规划模型。我们研究了从2017年国家家庭旅游调查(NHTS)驱动的不同措施,其中包括一个自我报告的美国家庭代表样本的年度VMT拖累。我们分别计算来自里程表读数的两个额外估计,并分别包含在NHT中的旅行日记信息。我们比较这四项年度VMT措施,寻求识别舰队的低/高程里程,并检查数据质量及其内部有效性。 VMT(-0.275至-0.20)的价格弹性在这四项措施中可比较。分位数回归表明,具有较高驾驶强度的家庭对每英里的燃料成本较小。随着汽车变老,四个VMT措施之间的差异往往会增加;这意味着CO2排放中的差异很大,例如,当从舰队中取出较旧的汽车,由于自然营业额或“废物的现金”计划,较旧车。

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