Linking mode with activity purpose in a dynamic scheduling model

This paper improves a dynamic scheduling model, Scaper, by including dependence between agents’ mode choice and activity purpose. Observed differences in mode share across activity purposes are likely caused both by factors endogenous to the model such as differing levels of service by time of day or geography, and by factors which cannot be represented endogenously with the data available, such as perceived travel needs. The updated model introduces joint purpose- and mode-dependent parameters to account for these exogenous factors. The model improves on a reference model without joint parameters on mode share predictions of activities of different purposes, providing advantages for use in activity purpose-sensitive policy evaluation.