Yanbo Ge is a member of the Data, Analysis, and Visualization Group within the Computational Science Center. She has a background in transportation engineering, urban planning, and statistics. She focuses her research on reducing energy consumption and environmental impact in the transportation sector. Currently she is leading a team within and contributing to the Athena project that guides landside mobility transformations at airports. In addition, she contributes to a few projects on electric vehicle infrastructure projection at different regions in the United States.
For additional information, see Yanbo Ge's LinkedIn profile.
Disclaimer: Any opinions expressed on LinkedIn are the author’s own, made in the author's individual capacity, and do not necessarily reflect the views of NREL.
Time series analysis
Data science in transportation
Ph.D., Transportation Engineering, University of Washington
M.S., Statistics, University of Washington
M.S., Urban Planning, Tongji University, China
B.S., Transportation Engineering, Tongji University, China
A Data-Driven Operational Model for Traffic at Dallas Fort-Worth International Airport, Transportation Research Board Annual Meeting (2020)
Understanding the Charging Flexibility of Shared Automated Electric Vehicle Fleets, WCX SAE World Congress Experience (2020)
Modeling Travel Mode Choices near Transportation Hubs: The Case of Dallas-Fort Worth Airport Using Revealed Survey Data, Transportation Research Board Annual Meeting (2020)
Racial Discrimination in Transportation Network Companies, Journal of Public Economics (2020)
Defining Psychometric Variables Related to Use of Autonomous Vehicles, Transportation Research Record (2019)
Gas Anxiety and the Charging Choices of Plug-In Hybrid Electric Vehicle Drivers, Transportation Research Part D: Transport and Environment (2018)
Effects of a Public Real-Time Multi-Modal Transportation Information Display on Travel Behavior and Attitudes, Journal of Public Transportation (2017)