This study applies latent class cluster analysis to a sample of 1,111 survey respondents in Georgia, identifying naturally occurring vehicle type segments based on the influence of both individual vehicle type choices and household vehicle fleet structures. The developed model identifies seven latent vehicle type propensity segments, six of which include individuals who reported being the main driver for (respectively) car, SUV/van, and truck. In three of those segments this was generally their only available vehicle, while in the other three the “main driver” vehicle accompanied other available household vehicles. The seventh segment captures individuals who are main drivers of multiple vehicle types, and who also have other household vehicles available for use. We generate user profiles and discuss differences across segments regarding individual-level characteristics (e.g., gender), household-level characteristics (e.g., household income), land-use and travel-related preferences (e.g., neighborhood type, share of household-serving trips), attitudes (e.g., materialistic), and targeted marketing data variables (e.g., support for charitable causes). Selected results suggest that women choose SUVs/vans due to both personal preferences (e.g., feeling safer while driving a large vehicle) and household responsibilities; show that vehicle-owning behaviors and attitudes are generally consistent, except that strong pro-vehicle-owning attitudes exist within vehicle-deficit households; and suggest that vehicle-deficit households may be less open to alternative fuel vehicles, possibly due to reliability concerns. Overall, this study provides a new perspective on vehicle type propensity segments, and examines the association of a novel range of general and travel-related attributes with these segments, yielding nuanced insights with potential policy implications.

本研究将潜在类别聚类分析应用于佐治亚州 1,111 名调查受访者的样本，根据个人车辆类型选择和家庭车队结构的影响确定自然发生的车辆类型细分。开发的模型确定了七个潜在的车辆类型倾向部分，其中六个包括报告为（分别）汽车、SUV/货车和卡车主要驾驶员的个人。在其中三个细分市场中，这通常是他们唯一可用的车辆，而在其他三个细分市场中，“主要驾驶员”车辆伴随着其他可用的家用车辆。第七部分涵盖了作为多种车辆类型的主要驾驶员，并且还有其他家用车辆可供使用的个人。我们生成用户档案并讨论不同细分群体在个人层面特征（例如，性别）、家庭层面特征（例如，家庭收入）、土地使用和旅行相关偏好（例如，社区类型、家庭服务份额）方面的差异旅行）、态度（例如，物质主义）和有针对性的营销数据变量（例如，对慈善事业的支持）。部分结果表明，女性选择 SUV/货车的原因是两个个人喜好（例如，感觉更安全，同时驾驶大型车辆）和家庭责任; 表明拥有汽车的行为和态度总体上是一致的，但在缺乏汽车的家庭中存在强烈的拥车态度；并建议缺乏车辆的家庭可能对替代燃料汽车不太开放，这可能是出于可靠性方面的考虑。总的来说，这项研究提供了关于车辆类型倾向细分的新视角，并检查了一系列新的一般和旅行相关属性与这些细分的关联，产生了具有潜在政策含义的细微洞察。