This session includes a series of presentations that offer new methods, data, tools, and insights to understand and model dynamics of behavior.
In a rapidly evolving transportation landscape, characterized by emerging mobility options, generational shifts, and transformative transportation technologies, it is imperative that models account for behavioral dynamics for travel demand forecasting. The pace of change in lifestyles and mobility choices has accelerated dramatically in the wake of the COVID-19 pandemic. Tune in and be part of the conversation on modeling the future of mobility…accelerated.
Keynote: Residual Impacts of COVID on Travel and Transportation Planning
A Dynamic Behavioral Model for Preference and Response Time: Application to Ordering Mobility-on-Demand Services
Including Age Cohort-related Differences in Travel Behavior in Applied Travel Demand Models
Travel Behavior Trends that Accelerated During the Pandemic
Moderator: Ram M. Pendyala, Professor, School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe
Cynthia Chen, Professor, Department of Civil and Environmental Engineering, University of Washington
Open Discussion and Q&A
Organized by Dr. Ram Pendyala and the TOMNET University Transportation Center at Arizona State University.