Improving Existing Travel Models and Forecasting Processes

This webinar presents the white paper, which discusses some of the most important steps for improving travel forecasts and models, including how to improve the practice of travel forecasting; collect better data to support input assumptions and validation; confirm the applicability of input assumptions; and improve the capabilities of forecasting tools. This paper also seeks to expand upon many of these topics and provides suggestions for how forecasters can improve practice with a series of relatively simple, implementable steps, most of which are equally applicable to advanced- and conventional-model architectures. A copy of the paper is currently available on the TMIP Website at:

Presenter:  Bill Woodford is a principal at RSG with extensive consulting experience in the areas of travel demand forecasting, ridership forecasting, and transportation planning. He has focused his career on the planning and development of fixed guideway transit New Starts projects with a particular emphasis on transit ridership forecasting, alternatives analysis, and system analysis. He has consulted with many of the largest transit agencies in the United States, including those in New York, Newark, Washington, Chicago, Denver, Los Angeles, and San Jose. He worked with the Federal Transit Administration and Federal Highway Administration and state DOTs in New York, Virginia, and Maine.