Camila Balbontin, David A. Hensher, Chinh Ho
Freight delivery modelling has made significant progress in the past few decades. In this study we propose to use an aggregate multi-step approach to gain a better understanding of the tour-based trips of light commercial vehicles in Sydney, Australia. The paper identifies differences in destination choice-making given by the number of stop and the stop count of the trip, defined by the total number of stops in the tour-based trip. The findings suggest that estimating a separate model for each number of stops and stop count provides a better understanding on how destination choices are made. Different scenarios were simulated to show how the probability of choosing a certain destination depending on the number of stop and stop count changes due to variations in travel time and distance. Results show that light commercial vehicles are more sensitive to the generalised cost (defined by travel time and distance) in the first stop, and the sensitivity decreases as the trip is completed.