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E-hailing plays a key role in emerging transportation services such as ridesourcing, ridesharing and taxis, among others. This seminar will present a general economic model to analyze the congestion effect of e-hailing services in a transportation network.

The model can help analyze customers’ choices of different modes, based on their value of time and the charging schemes of different services, as well as the overall impact of the services to network level congestion.

Biographical Information

Dr. Xuegang (Jeff) Ban is an associate professor at the civil and environmental engineering department of University of Washington. He received his B.S. and M.S. in automobile engineering from Tsinghua University, and his M.S. in computer sciences and Ph.D. in transportation engineering from the University of Wisconsin at Madison. His research interests are in Transportation Network System Modeling and Simulation, Urban Traffic Modeling and Operations, Connected/Automated Vehicle, Shared Mobility, Transportation Big Data Analytics, and Intelligent Transportation Systems (ITS) in general. He is an Editor / Associate Editor of IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C, and Journal of Intelligent Transportation Systems, and serves on the editorial board of Transportation Research, Part B, Networks and Spatial Economics, and Transportmetrica B. He is a member of the Network Modeling Committee (ADB30) and a member of the Vehicle-Highway Automation Committee (AHB30) of the Transportation Research Board (TRB), under the National Academies.


Ridesharing, Transportation demand management


Transportation | Transportation Engineering | Urban Studies and Planning

Persistent Identifier

Network Congestion Effect of E-Hailing Transportation Services



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