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首页> 外文期刊>Transportation Research >Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modeling
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Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modeling

机译:口味异质性作为内生性偏见的替代形式:使用潜在类建模研究建筑环境和社会人口统计学对车辆拥有权的态度调节效应

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摘要

Vehicle ownership (VO) is of vital interest to transportation planning and policy, both in its own right and as a correlate of other travel-related behaviors. This study explores disaggregate relationships among socio-economic/demographic (SED) traits, the built environment (BE), and VO. Many previous studies have assumed that the importance of SED and BE variables to VO is homogeneous across the population, and have focused on the direct and mediated effects of those variables on VO. Here, we aim to account for heterogeneity in the effects of BE and SED, allowing those effects on VO to be moderated as a function of attitudes. Specifically, we use Latent Class Modeling (LCM), which probabilistically segments the sample so as to be homogeneous within and heterogeneous across segments, with respect to the choice process. Applied to a sample of 2385 commuters in Northern California, LCM outperforms an ordinary multinomial logit model and a deterministic segmentation model. The LCM identifies two classes: an "auto-oriented" segment, for which household size and income have stronger influences on vehicle ownership (compared to the other segment); and an "urbanite" segment, for which the BE generally has a stronger influence. This study contributes to better understanding the heterogeneity of an important travel-related choice process, and offers an alternative explanation to residential self-selection for an attitude-related endogeneity bias.
机译:车辆拥有权(VO)本身就是与其他与旅行有关的行为的关联,对运输计划和政策至关重要。这项研究探讨了社会经济/人口统计学(SED)特征,建筑环境(BE)和VO之间的分解关系。以前的许多研究都假设,SED和BE变量对VO的重要性在整个人群中是同质的,并且集中在那些变量对VO的直接和介导作用上。在这里,我们的目的是考虑BE和SED的影响的异质性,从而允许这些对VO的影响作为态度的函数而被缓和。具体来说,我们使用潜在类建模(LCM),该模型会根据选择过程对样本进行概率分割,使其在各个片段内均质,并且在各个片段之间均质。 LCM应用于北加州的2385名通勤者样本,其性能优于普通的多项式logit模型和确定性细分模型。 LCM分为两类:“自动导向”细分,其家庭规模和收入对车辆拥有量的影响更大(与其他细分相比);和“城市”细分市场,而BE通常对其影响更大。这项研究有助于更好地理解与旅行相关的重要选择过程的异质性,并为与态度相关的内生性偏见的居民自我选择提供另一种解释。

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