The model is being developed to operate as a comprehensive freight analysis and modeling tool that identifies freight movements by truck, rail, and air.
A direct demand input-output model, an inventory-based firm microsimulation of vehicle flows, and use of truck GPS activity pattern data in sub-TAZ truck tour disaggregations and time of day O-D modeling.
The California Statewide Freight Forecasting Model (CSFFM) is a policy-sensitive tool that is intended to forecast commercial vehicle and commodity flows within California. The model will address socioeconomic conditions, freight-related land use policies; environmental policy; and multimodal infrastructure investments. The model will allow for a better understanding of freight movement related policies, regulatory decisions, project decisions, and the impacts of these decisions. The core model is based on a variation of the traditional four steps: regression, logit share model, mode-route choice, and peak vehicle flow distribution. The steps for the enhanced model are listed below:
The flow modeling is based on 96 TAZs in California; 7 TAZs in neighboring states; :46 TAZs in rest of United States, and 8 international TAZs and 51 air, water and rail “transshipment logistic nodes”: for a total of 208 origin/destination trip ends.
Truck, Rail, Air.
14 commodity groupings based on aggregation of 2-digit SCTG commodity classes.
The model is meant for use by:
And to be a policy-sensitive model to forecast commodity flows and commercial vehicle flows within California addressing:
Citilabs CUBE
Public data sources through freight data repository, CALFRED:
Anticipated completion is February 2014