This paper examines the mode choice behaviour of people who may act as
occasional couriers to provide crowd-shipping (CS) deliveries. Given its recent
increase in popularity, online grocery services have become the main market for
crowd-shipping deliveries' provider. The study included a behavioural survey,
PTV Visum simulations and discrete choice behaviour modelling based on random
utility maximization theory. Mode choice behaviour was examined by considering
the gender heterogeneity of the occasional couriers in a multimodal urban
transport network. The behavioural dataset was collected in the city of
Kharkiv, Ukraine, at the beginning of 2021. The results indicated that women
were willing to provide CS service with 8% less remuneration than men. Women
were also more likely to make 10% longer detours by car and metro than men,
while male couriers were willing to implement 25% longer detours when
travelling by bike or walking. Considering the integration of CS detours into
the couriers' routine trip chains, women couriers were more likely to attach
the CS trip to the work-shopping trip chain whilst men would use the home-home
evening time trip chain. The estimated marginal probability effect indicated a
higher detour time sensitivity with respect to expected profit and the relative
detour costs of the couriers