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The correlational and causal investigation into the land use-transportation relationships: evidence from the Dallas-Fort Worth metropolitan area

机译:土地利用与运输关系的相关性和因果关系研究:来自达拉斯-沃思堡都会区的证据

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摘要

The role of land-use and related policies in reducing automobile dependence hasbeen the subject of heated policy debate for over two decades. Previous research hasshed light on the correlations between land-use and travel. Yet a crucial knowledge gapstill exists in establishing causality between the two. Do changes in land-usecharacteristics cause behavioral changes in individuals?????? decisions on what transportationmeans to use for travel? How does land-use as a contextual factor shape the decisionprocess and outcome of trip frequency and travel mode choice? These questions remainlargely unanswered.Attempting to fill the gap, this study applied the directed acyclic graphs methodto identify the causal relationship between land-use and travel in the 9-county Dallas-Fort Worth (D-FW) metropolitan area. The logit captivity (LC) model, an extension tothe conventional multinomial logit, was utilized to capture the contribution of land-usein affecting individuals?????? decisions on travel mode choice. All the data for this study were obtained from the North Central Texas Council of Governments (NCTCOG).Evidence from the D-FW region confirms to a certain extent the causal effects ofland-use on travel. For work trips, increases in regional accessibility, job density andshare of commercial land-use reduce the use of automobiles. Higher regionalaccessibility, however, causes households to generate automobile trips and thus leads tothe increase in vehicle miles of travel (VMT). For non-work trips, population density,job density and regional accessibility are direct causes of the choice of automobile, whileonly regional accessibility is causally connected to reducing automobile trips and VMT.The logit captivity model results indicate that land-use contributes to captive-drivingchoices for home-based work trips. Lack of land-use mix at trip origins increases theprobabilities of trip-makers being captive to the automobile from 0.06% to 5.62% fordriving-alone and from 0.38% to 3.55% for shared-ride.
机译:过去二十年来,土地使用及相关政策在减少汽车依赖方面的作用一直是激烈的政策辩论主题。先前的研究揭示了土地利用与旅行之间的关系。然而,在两者之间建立因果关系时,仍然存在着关键的知识鸿沟。土地使用特征的变化会引起个人的行为变化吗?关于旅行使用哪种交通工具的决定?土地使用作为背景因素如何影响出行频率和出行方式选择的决策过程和结果?这些问题仍然悬而未决。为了弥补这一空白,本研究采用有向无环图方法确定了达拉斯-沃思堡(D-FW)9县大都市区土地利用与旅行之间的因果关系。 Logit囚禁(LC)模型是对传统多项式Lo​​git的扩展,用于捕获土地使用对个人的影响。决定出行方式。该研究的所有数据均来自德克萨斯州中北部政府理事会(NCTCOG)。D-FW地区的证据在一定程度上证实了土地利用对旅行的因果关系。对于工作旅行,区域可及性,工作密度的增加和商业土地用途的共享会减少汽车的使用。然而,较高的区域可及性导致家庭产生汽车出行,从而导致车辆行驶里程(VMT)增加。对于非工作旅行,人口密度,工作密度和区域可及性是选择汽车的直接原因,而只有区域可及性与减少汽车出行和减少VMT有因果关系。logit囚禁模型的结果表明,土地利用有助于限制汽车的使用。进行家庭工作旅行的选择。出行起点上土地用途的混合缺乏,使出行者被汽车俘虏的概率从单独驾驶的0.06%增加到5.62%,从共享出行的可能性从0.38%增加到3.55%。

著录项

  • 作者

    Lee Sangkug;

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  • 年度 2006
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  • 原文格式 PDF
  • 正文语种 en_US
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