Activity-based models (ABMs) adopt the notion of tours to model activity–travel patterns, because the concept of a tour closely mimics how individuals chain their activities in the real world. Each tour may be defined by a primary destination that corresponds to a primary purpose and may include a multitude of secondary stops on the way to the primary destination (the outbound half-tour) or on the way back (the inbound half-tour). This paper presents a tour characterization framework capable of simulating all secondary stops on a tour, the time allocated to each activity, and the sequence of stops on a tour. The first component simulates the mix of activities and their corresponding durations and was presented in an earlier paper. The current paper presents the stop-sequencing component, which is capable of determining the order in which activities will be pursued on outbound and inbound half-tours. Model estimation results and comparisons between observed and predicted stop-sequencing patterns are presented. The models were found to perform quite well in replicating the observed stop-making patterns. The overall tour characterization framework was designed to accommodate the continuous treatment of time in ABMs in practice.
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