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Built environment effects on fuel consumption of driving to work: Insights from on-board diagnostics data of personal vehicles

机译：建筑环境对上班驾驶的油耗影响：私人车辆车载诊断数据的见解

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摘要

Concerns over climate change and peak oil motivate examining the relationship between the built environment (BE) and individual fuel consumption. Most studies overlook BE characteristics at workplace locations. They often estimate fuel use based on travel distance instead of on actual consumption. This practice ignores other influential mechanisms. This study uses the naturalistic driving data of 660 personal vehicles in Beijing. We apply a structural equations model to examine multiple mechanisms under which the residential and workplace BE affects fuel consumption directly and indirectly through driving distance, travel speed, and driver behavior, controlling for the effect of the street environment along the commute route. We found that all three mediating variables are associated with vehicular fuel consumption for the commute. The workplace BE has the more important effect on fuel consumption than the residential BE, particularly regarding the distance from the workplace to the city center. This study highlights the role of job-housing balance in commuting fuel consumption reduction.
机译：对气候变化和石油峰值的担忧促使人们研究建筑环境（BE）与个人燃料消耗之间的关系。大多数研究忽略了工作场所的BE特性。他们通常根据行驶距离而不是实际消耗量来估计燃料使用量。这种做法忽略了其他有影响的机制。本研究使用北京660辆私家车的自然驾驶数据。我们应用结构方程模型来研究多种机制，在这些机制下，住宅和工作场所BE通过行驶距离，行驶速度和驾驶员行为直接和间接影响燃油消耗，并控制通勤路线上街道环境的影响。我们发现，这三个中介变量均与通勤时的车辆燃油消耗相关。工作场所BE对燃油消耗的影响比住宅BE更重要，尤其是从工作场所到市中心的距离。这项研究突出了工作与住房平衡在减少通勤油耗中的作用。

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  • 来源
    《Transportation Research》 |2019年第2期|565-575|共11页
  • 作者

    Zhu Wanjing; Ding Chuan; Cao Xinyu;

  • 作者单位

    Beihang Univ, Sch Transportat Sci & Engn, Beijing Key Lab Cooperat Vehicle Infrastruct Syst, Beijing 100191, Peoples R China;

    Beihang Univ, Sch Transportat Sci & Engn, Beijing Key Lab Cooperat Vehicle Infrastruct Syst, Beijing 100191, Peoples R China|Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing 100191, Peoples R China;

    Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing 100191, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Land use; Naturalistic driving; Carbon emissions; Fuel use; Job-housing balance;

    机译：土地利用;自然驾驶;碳排放;燃料利用;工作与住房平衡;

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