The car has so far played an important role for transporting goods. However, new services emerging from e-commerce may increasingly reduce its relevance as the transporting of goods might no longer be a reason for car use. As a result, e-commerce or the delivery of goods by third-parties can function as potential supplement for car-free households and support a car-free lifestyle. To assess this potential, appropriate segmentation to subgroups is needed to better understand differences in shopping behavior and the linked role of the car. The presented study from Munich (Germany) provides a comprehensive approach by applying a latent class analysis. The classification revealed six distinct classes with differences in shopping behavior as well as sociodemographic and spatial characteristics. To asses underlying motivations, this approach is complemented through relating the latent classes to attitudes towards shopping and mode choice. Results show that those people who frequently use their cars also have an affinity for frequent online shopping. This relationship should be considered when discussing whether e-commerce can promote a car-free lifestyle.

中文翻译：

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对购物旅行行为的洞察：与购物态度相关的潜在类别

迄今为止，汽车在运输货物方面发挥了重要作用。然而，电子商务中出现的新服务可能会逐渐降低其相关性，因为货物运输可能不再是使用汽车的原因。因此，电子商务或第三方交付货物可以作为无车家庭的潜在补充并支持无车生活方式。为了评估这种潜力，需要对子群体进行适当的细分，以更好地了解购物行为的差异和汽车的相关作用。来自慕尼黑（德国）的研究提供了一种通过应用潜在类别分析的综合方法。该分类揭示了六个不同的类别，它们在购物行为以及社会人口和空间特征方面存在差异。为了评估潜在的动机，通过将潜在类别与对购物和模式选择的态度联系起来，这种方法得到了补充。结果表明，那些经常使用汽车的人也对频繁的网上购物有亲和力。在讨论电子商务是否可以促进无车生活方式时，应考虑这种关系。