Thursday, January 16, 2025 | 12:00 – 1:00 PM (ET)
With the rise of smartphone technology, on-demand peer-to-peer (p2p) carpooling is gaining traction as a way to reduce vehicle trips and promote sustainability. This study investigates the influence of individual factors and trip characteristics on p2p carpooling mode choice, usage, and customer churn, utilizing data collected by Metropia. Our research highlights the different efforts that local government, app developer, and the public can make to make p2p carpooling a more attractive and reliable travel option and foster a conducive urban environment.
About the Presenter:
Dr. Peng Chen is an Assistant Professor in the School of Public Affairs at the University of South Florida, specializing in Transportation Planning and Policy with a focus on interdisciplinary research that integrates urban planning, transportation engineering, and quantitative analysis. He serves as an Associate Editor for *Transportation Research Part D: Transport and Environment* and received the Best Paper Award at the 14th World Conference on Transport Research. His research is funded by prominent organizations, including National and University Transportation Research Centers with the U.S. Department of Transportation and the U.S. Department of Education. Dr. Chen earned his Ph.D. in Urban Planning from the University of Washington in 2016, along with a master’s in Civil Engineering (2015) and a graduate certificate in Statistics (2014), having previously obtained a Master’s in Geography from Peking University (2010) and a bachelor’s in Engineering from Wuhan University (2007). He has been recognized as one of the top 2% of highly cited researchers by Elsevier and Stanford University (annual ranking) since 2020.
Xiankui Yang is a Ph.D. candidate in the Department of Mathematics and Statistics at the University of South Florida, where he is pursuing advanced research in statistics. He holds a Master of Arts in Statistics from the University of South Florida and a Bachelor of Science in Mathematics and Applied Mathematics from Central China Normal University in China. His primary research interests lie in the design of experiments, response surface methodology, optimization, statistical modeling, statistical learning, and travel behavior analysis. His proficiency in R allows him to efficiently manage large datasets, implement advanced statistical techniques, and visualize results effectively, making significant contributions to his research in experimental design and statistical learning. His research focuses on experimental design, statistical modeling, and travel behavior analysis, particularly in transportation and public health contexts.
