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Quantifying the Self-Selection Effect in Residential Location and Vehicle Use Choices with a Structural Equation Model

机译:用结构方程模型量化住宅位置和车辆使用选择的自我选择效果

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Lots of studies have confirmed the vehicle usage reduction effect of compact and mixed land use development. However, debates on self-selection issue have been brought in during recent years. This paper established a structural equation model with vehicle kilometers traveled (VKT), vehicle ownership and residential location estimated simultaneously. The residential self-selection is controlled through two ways in the model: implicitly through the correlated error terms in multiple equations and explicitly through the incorporation of expected VKT in the equation of residential location choice. We estimated the model using household travel survey data in Washington DC area collected in 2007. The results showed that land use itself could still influence travel behavior after removing self-selection effects. VKT reduction effect of land use would be exaggerated without considering self-selection, and self-selection effect would account for a larger part of the total effect in more compact and better mixed development areas.
机译:许多研究证实了紧凑型和混合土地利用发育的车辆使用量减少。但是,近年来,就自我选择问题的辩论已经提出。本文建立了一个结构方程模型,具有车辆公里(VKT),车辆所有权和住宅位置同时估计。通过模型中的两种方式控制住宅自选:隐含地通过多个方程中的相关误差项,并通过在住宅位置选择的方程中的预期VKT结合来明确。我们在2007年收集的华盛顿特区地区使用家庭旅游调查数据估计了该模型。结果表明,在去除自我选择效果后,土地利用本身仍然可以影响旅行行为。在不考虑自我选择的情况下,将夸大土地使用的减少效果,并且自我选择效果将占更紧凑,更好的混合开发区域的总效果的较大部分。

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