We present an integrated activity-based discrete choice model system of an
individual's activity and travel schedule, for forecasting urban, passenger
travel demand. A prototype demonstrates the system concept using a 1991 Bo
ston travel survey and transportation system level of service data. The mod
el system represents a person's choice of activities and associated travel
as an activity pattern overarching a set of tours. A tour is defined as the
travel from home to one or more activity locations and back home again. Th
e activity pattern consists of important decisions that provide overall str
ucture for the day's activities and travel. In the prototype the activity p
attern includes (a) the primary - most important - activity of the day, wit
h one alternative being to remain at home for all the day's activities; (b)
the type of tour for the primary activity, including the number, purpose a
nd sequence of activity stops; and (c) the number and purpose of secondary
- additional - tours. Tour models include the choice of time of day, destin
ation and mode of travel, and are conditioned by the choice of activity pat
tern. The choice of activity pattern is influenced by the expected maximum
utility derived from the available tour alternatives. (C) 2000 Elsevier Sci
ence Ltd. All rights reserved.