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Are We Successful in Reducing Vehicle Miles Traveled in Air Quality Nonattainment Areas?

机译:我们是否成功减少了空气质量达标地区的行驶里程?

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An important planning and policy question in the transportation, energy, and environment areasis whether or not air quality control and the associated funding preference and mitigation effortsto attain air quality conformity have indeed led to traveler behavior changes such as reduction invehicle miles traveled (VMT) or VMT growth rates. In this research, we develop statisticalmodels to analyze the relationship between air quality nonattainment designation and VMTbetween 1966 and 2008 based on observed data. These models employ different statisticalmethods, including hypothesis testing, multiple regression, and simultaneous equations. Findingsfrom all statistical models and datasets are consistent, and suggest there is a statisticallysignificant negative correlation between nonattainment designation and VMT/VMT growth. Forinstance, the simultaneous equation model, arguably the most advanced model developed in thisresearch, suggests that if a nonattainment area and an attainment area that are similar in all otheraspects (population composition, socio-economics, urbanization, fuel price, vehicle stock, etc.)are compared, the VMT in the nonattainment area will be 1.75% less than that in the attainmentarea in the short run, and 7.34% less in the long run. When results from all models aresynthesized, the short-run VMT reduction effects of nonattainment designation range from1.13% to 1.75%, and the long-run effects range from 3.54% to 7.34%. While these results showstrong statistical evidence that efforts in reducing VMT in nonattainment areas have beensuccessful, future research should be conducted to attribute the VMT reduction effects to specificpolicy instruments for decision-making (e.g. the Congestion Management and Air QualityImprovement program, the conformity regulation in the transportation planning process, etc.).
机译:运输,能源和环境领域的重要规划和政策问题 是否进行空气质量控制以及相关的资金偏好和缓解措施 达到空气质量标准确实导致了旅行者行为的改变,例如减少 行驶的车辆英里数(VMT)或VMT增长率。在这项研究中,我们开发了统计 模型以分析空气质量达标与VMT之间的关系 在1966年到2008年之间根据观察到的数据。这些模型采用不同的统计 方法,包括假设检验,多元回归和联立方程。发现 所有统计模型和数据集中的数据都一致,并表明存在统计上的差异 未达标名称与VMT / VMT增长之间存在显着的负相关。为了 例如,联立方程模型,可以说是本模型中开发的最先进的模型 研究表明,如果一个非成就领域和一个成就领域在所有其他方面都相似 方面(人口构成,社会经济,城市化,燃料价格,车辆存量等) 比较而言,未达标区域的VMT会比未达标区域的VMT降低1.75% 短期来看,面积减少了7.34%。当所有模型的结果都为 综合来看,未达到指定水平的短期VMT降低效果为 1.13%至1.75%,长期影响范围从3.54%至7.34%。这些结果显示 有力的统计证据表明,为减少未达标地区的VMT所做的努力 成功的,应该进行进一步的研究,以将VMT的减少效果归因于特定的 决策政策工具(例如拥堵管理和空气质量) 改进计划,运输计划过程中的合格性规定等)。

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