David is a senior transportation engineer/economist with over 30 years of experience in travel demand modeling, transportation economics, survey design and management, database management, and software engineering. He has worked on a number of leading-edge projects in travel demand and economics, including development of activity-based travel demand models, development of discrete-choice travel forecasting models, development of microsimulation-based models for analysis of congestion pricing alternatives, and applications of economic methods to transportation policy analysis. His areas of expertise include economic analysis, survey design and management, advanced statistical methods, and applications of advanced computational techniques to transportation. He recently completed estimation and implementation of a multinomial logit mode choice model using NLOGIT for the Champaign-Urbana region as part of the Mobility Improvement Plan for the Champaign Urbana Mass Transit district. He currently serves on the the following Transportation Research Board Committees: 1) Traveler Behavior and Values (ADB10), 2) Artificial Intelligence and Advanced Computing Applications (ABJ70), 3) Statistical Methodology and Statistical Computer Software in Transportation Research (ABJ80); he is also a member of the American Society of Civil Engineers Committee on Planning and Economics and the IEEE Group on Intelligent Transportation Systems.