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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中的自选效应

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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:许多研究已经证实了紧凑型和混合型土地利用开发的减少车辆使用的效果。但是,近年来,关于自我选择问题的辩论已经引起了人们的注意。本文建立了车辆行驶里程(VKT),车辆拥有量和居住位置同时估算的结构方程模型。在模型中,通过两种方式控制住宅的自我选择:通过多个方程式隐式地通过相关的误差项,以及通过将期望的VKT纳入住宅位置选择方程式来显式地控制住宅的选择。我们使用2007年在华盛顿特区收集的家庭旅行调查数据对模型进行了估计。结果表明,土地使用本身在消除自我选择效应后仍会影响旅行行为。在不考虑自我选择的情况下,会夸大土地利用的VKT减少效应,而在更紧凑和更好的混合开发区中,自我选择效应将占总效应的很大一部分。

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