查看文章

This study explores the differences between crowd-shipping users and non-users based on responses to a 2016 online survey. We use proportional t-test analysis and a binary logit model to study how and to what extent the attitudes, preferences, and characteristics of crowd-shipping users differ from non-users. The results show that (1) crowd-shipping is more prevalent among young people, men, and full-time employed individuals, (2) urban areas are preferential for the development of crowd-shipping, and (3) crowd-shipping users are most inclined to use the system for medium-distance deliveries. The elasticity analysis indicates that individuals who have a strong sense of community and environmental concern are, respectively, 86.4% and 83.9% more likely to use crowd-shipping. However, individuals who have reservations regarding affordability and trust are 68.3% and 64.9% less likely to use crowd-shipping …