Modeling Destination Choice for the Intermediate Stop Trips Included in the Commute Activity Patterns

Using the travel-activity data collected from Shangyu, China, this paper develops multinomial Logit model with aggregate alternatives, including multiple size variables in representation for intermediate stop destination choices in the commute activity patterns. We use the amounts of facilities with different land use in the surveyed destinations as the size variables. Apart from the zonal attractions (size variables), locational factors and OD matching characteristics, Hanson accessibility are introduced into the models. The empirical results show that the commercial establishments are most likely to be chosen by intermediate stopping. And CBD area offers more opportunity to the intermediate stops. Moreover, the results show that the destination containing maintenance/leisure places compete with those nearby to win more intermediate stopping opportunity, which makes it more attractive in Shangyu, China. The findings of this paper provide some useful insights into the spatial activity-travel behaviors in the context of China.