Speaker: Ram Pendyala is an Associate Professor and the Graduate Coordinator in Civil and Environmental Engineering at the University of South Florida (USF) in Tampa, specializing in Transportation Engineering and Planning

The emergence of activity-based approaches to travel demand analysis, where travel demand is explicitly recognized as a derived demand, has concentrated on how travelers value and use their time. Measuring the trade offs between the value of the activity itself and the costs of getting to that activity are at the crux of this strong field of travel demand analysis.

This presentation will focus on explaining the role of time use in travel demand analysis and provide a examples of how the time can be incorporated into activity-based travel demand models. The presentation focuses on the identification and modeling of temporal constraints associated with daily activity-travel behavior using the stochastic frontier modeling methodology. The presentation includes an explanation of the concepts, model estimation results, and interpretation of the key findings.