Tao Tao is a postdoctoral research associate at Mobility Data Analytics Center (MAC) at the Department of Civil and Environmental Engineering at Carnegie Mellon University. His current research interests include transportation and community resilience, environment-friendly transportation system, transportation equity, land use and travel behavior, transit planning, and urban computing. He has published papers in Journal of Planning Education and Research, Transportation Research Part D, and Journal of Transport and Geography.
Tao has been the instructor for the courses Urban Transportation Planning and Policy (PA5234) and Data Management and Visualization with R (PA 5928) at the University of Minnesota. He has also served as a reviewer for several journals including Urban Studies, Transportation Research Part D, and Transportation. He is currently a student member in Association of Collegiate School of Planning and International Association of Chinese Planning (IACP). He serves the Board of Directors of IACP (2023-2025).
Tao received a Ph.D. in Urban and Regional Planning from University of Minnesota. He received an M.E. in Transportation Planning and Management and a B.E. in Traffic and Transportation from Southeast University in Nanjing, China. He received an M.S. in Statistics from University of Minnesota.
[December 2024] Pavement Condition Prediction for Communities: A Low-Cost, Ubiquitous, and Network-Wide Approach has been published in *Journal of Infrastructure Systems * Link.
[October 2024] Do Smart Loading Zones help reduce traffic congestion? A causal analysis in Pittsburgh has been published in Transportation Research Part E: Logistics and Transportation Review Link.
[Feb 2024] The use of crowdsourced mobile data in estimating pedestrian and bicycle traffic: A systematic review has been published in Journal of Transport and Land Use Link.
[Feb 2024] Tao recevied the award of Outstanding Reviewer for the journal Transportation Research Part D: Transport and Environment.