The Mobility Dashboard (TMD) Unleashed: Translating Travel Data into Actionable Insights

Date and time: June 5, 2025 | 12:00 pm – 1:30 pm (CDT)

Speaker: Irfan Batur, PhD

Moderator: Ram M. Pendyala, PhD

Commentator: Steven E. Polzin, PhD

Archive: Flier | Recording

About the talk

The TBD National University Transportation Center is pleased to present The Mobility Dashboard (TMD) — an online tool developed to facilitate analysis of travel behavior patterns using the American Time Use Survey (ATUS) data series. TMD offers dedicated modules for deriving insights about Trip Purpose, Travel Mode, Zero-Trip Making, and Day Patterns. Users can explore trends over time, conduct both person and trip level analyses, and filter results by year and user-defined population subgroups. The webinar will present an overview of the dashboard’s features and analytical capabilities, along with practical use cases illustrating how the platform can inform transportation research and planning. The session will be led by Dr. Irfan Batur, Principal Investigator of the TMD development project, and moderated by Dr. Ram Pendyala, with special commentary by Dr. Steven Polzin.

Speaker

Irfan Batur, PhD

Assistant Research Professor | Arizona State University, Tempe, Arizona, USA

Dr. Irfan Batur is an Assistant Research Professor in the School of Sustainable Engineering and the Built Environment at Arizona State University. He holds a PhD in Civil, Environmental, and Sustainable Engineering from Arizona State University, an MS in Industrial and System Engineering from Istanbul Sehir University, and a BS in Industrial Engineering from TOBB Economy and Technology University. Additionally, Dr. Batur is a member of the Transportation Research Board’s Committee on Travel Behavior and Values (AEP30) and serves as the Assistant Director at both the TOMNET University Transportation Center and TBD National Center. His research interests include travel behavior, sustainable and equitable transportation, emerging transportation technologies, travel demand forecasting, smart cities, and machine learning.

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