Existing approaches to modeling daily activity-travel patterns (DAPs) are mostly person based. However, intrahousehold interactions have a strong effect on the formation of the daily activity agenda of each household member. An approach is adopted that is based on the sequential modeling of the choices reflected in the DAPs of all household members, in a predetermined order of processing by person type, with explicit linkages between the choices made by different members of the household. The statistical analysis of intrahousehold interactions is described, as well as the application experience with this modeling approach in the framework of the new tour-based regional travel demand model recently developed for the Mid-Ohio Regional Planning Commission. Linkages across different household members that reflect the sharing of the same activities or the making of joint travel proved to be extremely strong statistically.
Abstract