Modeling the willingness to work as crowd-shippers and travel time tolerance in emerging logistics services

The objective of this study is to understand the different behavioral considerations that govern the choice of people to engage in a crowd-shipping market. A binary logic model and an ordinary least-square regression model have been developed. Those models are integrated by a selectivity-bias term. The results suggest that socio-demographic characteristics, freight transportation experience, and social media usage significantly influence respondents' decisions to participate in the crowd-shipping market. The selectivity is found available in the dataset and has strong heterogeneity. Moreover, the crowd-shippers' expect to-be-paid rate is found concurrent with value-of-time literature. Findings from this research are valuable to crowd-shipping companies recruiting employees and developing business strategies.