Statewide Mode Choice Models for Tennessee
Corresponding Author: Stephen Tuttle, RSG
Presented By: Stephen Tuttle, RSG
Abstract
This presentation shares the application of a method to forecast passenger mode shares in a statewide model using simple assumptions for transit and walk level of service, plus standard output from a household model.
Statewide models may omit mode choice for short-distance passenger travel to reduce network and data requirements, however, a mode choice model that does not use transit or complete streets networks may satisfy data management concerns while providing sensitivity to polices affecting non-automobile travel.
This presentation will review the data, methodology, and results from the application of home-based work (HBW) and home-based other (HBO) statewide mode choice models for the Tennessee Department of Transportation (TDOT).
Transit level of service was estimated from agency funding data and a simple measure of zonal distance to transit service. Base year employment and intersection density data were used to develop a walk index, or level of service variable, which users edit directly. Household models provided average size, workers, and vehicle ownership assumptions. The resulting mode choice models were calibrated using census data. The models provide forecast sensitivity without requiring users to manage networks.