[Lecture] [City Energy Lab Lecture] Using machine learning to address nonlinear relationships between land use and travel behavior
- Date October 23, 2023
- Hit 531
[City Energy Lab Lecture]
City Energy Lab welcomes everyone from GSES to join a guest lecture.
Speaker: Dr. Jason Cao from University of Minnesota, Twin Cities
Topic: Using machine learning to address nonlinear relationships between land use and travel behavior
Time: October 24th, 2023 14:00 - 15:00
Venue: SNU GSES Building 82 Room 113
Short Bio:
Dr. Jason Cao is a professor at the Humphrey School of Public Affairs, University of Minnesota, Twin Cities, and a visiting scholar at Chang’an University. He specializes in land use and transportation interaction, the effects of ICT on travel behavior, and planning for quality of life. He has published more than 140 peer-reviewed papers and edited four books. Dr. Cao is internationally well-known for his research on residential self-selection in the relationships between the built environment and travel behavior. His recent work focuses on the applications of machine learning approaches in addressing nonlinear relationships between variables. Dr. Cao is the Co-Editor-in-Chief of Transportation Research Part D. He received his degrees from University of California, Davis and Tsinghua University.
Contact: kimx5250@snu.ac.kr
City Energy Lab welcomes everyone from GSES to join a guest lecture.
Speaker: Dr. Jason Cao from University of Minnesota, Twin Cities
Topic: Using machine learning to address nonlinear relationships between land use and travel behavior
Time: October 24th, 2023 14:00 - 15:00
Venue: SNU GSES Building 82 Room 113
Short Bio:
Dr. Jason Cao is a professor at the Humphrey School of Public Affairs, University of Minnesota, Twin Cities, and a visiting scholar at Chang’an University. He specializes in land use and transportation interaction, the effects of ICT on travel behavior, and planning for quality of life. He has published more than 140 peer-reviewed papers and edited four books. Dr. Cao is internationally well-known for his research on residential self-selection in the relationships between the built environment and travel behavior. His recent work focuses on the applications of machine learning approaches in addressing nonlinear relationships between variables. Dr. Cao is the Co-Editor-in-Chief of Transportation Research Part D. He received his degrees from University of California, Davis and Tsinghua University.
Contact: kimx5250@snu.ac.kr