This paper presents the activity-based regional travel forecasting model system being used by the Sacramento, California, Council of Governments. The SACSIM model system represents travel in the context of an integrated disaggregate econometric model of each resident's full-day activity and travel schedule. Sensitivity to neighbourhood scale is enhanced through disaggregation of the modelled outcomes in three key dimensions: purpose, time,and space. Each activity episode is associated with one of seven specificpurposes, and with a particular parcel location at which it occurs. The beginning and ending times of all activity and travel episodes are identified within a specific 30-minute time period. The model system has been calibrated and tested for a base year of 2000 and for forecasts to the years 2005 and 2035. The paper summarises the model system structure, explains the integration with the traffic assignment model, discusses issues with preparing input data for such a model system, and presents application results.
Abstract