Abstract
This report explores the full range of determinants for transit travel behavior and offers solutions to those seeking to represent and distinguish transit characteristics in travel forecasting models. The report’s appendixes include a state-of-the-practice literature review, survey instruments, models estimated by the research team, model testing, and model implementation and calibration results. The models demonstrate a potential approach for including non-traditional transit service attributes in the representation of both transit supply (networks) and demand (mode choice models), and reducing the magnitude of the modal-specific constant term while maintaining the model’s ability to forecast transit ridership. (Author/publisher)