Profiling shopping mobility in pre- and post-purchase phases: Latent class analysis of apparel trial and return trips
基于507名美国消费者的数据，用潜类模型识别出试穿和退货行为的三种类型，发现多数消费者专精于试穿或退货，为交通规划者和电商应对消费行为变化提供参考。
This study explores the unobserved heterogeneity in shopping mobility by examining consumers’ apparel trial and return behaviors across the pre- and post-purchase phases. In the context of the rapid growth of e-commerce and rising return rates, understanding how trial and return behaviors interact within individual shopping journeys becomes critical. While prior research has explored online shopping’s impact on travel, limited attention has been paid to the diversity of these behaviors and their mobility implications. To address this gap, two latent class choice models are estimated using revealed preference data from 507 U.S. shoppers. Latent class membership is explained through attitudinal profiles derived from factor analysis (Bartlett scores), capturing environmental concerns, consumption habits, and convenience preferences. Three distinct segments are identified for both trial and return behaviors, each characterized by unique trip frequencies, trial and return method preferences, and socio-demographic traits. The interplay between pre- and post-purchase mobility is further examined through a segment probability matrix. Results show that most shoppers specialize in either trial or return behaviors, with limited overlap. For instance, “Active Trial Enthusiasts” comprise 51.2% of the sample, marked by frequent store visits and hybrid trial preferences. In contrast, 23.6% belong to the “Frequent & Opportunistic Returners,” who regularly return goods using both self-managed and carrier-based methods. These findings reveal diverse and complementary mobility patterns shaped by apparel shopping habits. The study provides valuable insights for transport planners and e-retailers seeking to address the environmental and operational impacts of evolving consumer behavior.