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This presentation introduces an innovative spatiotemporal analytical framework and web-based visualization platform developed by researchers at the University of Utah to assist transit agencies in identifying optimal deployment strategies for a battery-electric bus (BEB) system by using a combination of mathematical programming methods, GIS-based analysis, and multi-objective optimization techniques. The framework allows transit agencies to optimally phase in BEB infrastructure and deploy the BEB system in a way that can minimize the capital and operational cost of the BEB system while maximizing its environmental benefits (i.e., emission reduction).


Cathy Liu, Associate Professor in Civil & Environmental Engineering at the University of Utah Dr. Cathy Liu is an Associate Professor in Civil & Environmental Engineering at the University of Utah. Her background is in data-driven application in transportation, and multimodal transportation network modeling. Dr. Liu has conducted sponsored research funded by FTA, NSF, FWHA, and USDOT to assess the efficiency of transportation network and the impact of emerging technologies, such as shared mobility, vehicle electrification and automation. Dr. Liu serves as a member on the Transportation Research Board (TRB) Highway Capacity Quality of Service (HCQS) Committee and Chair of the Technology Transfer subcommittee, served as member of Transit Capacity and Quality of Service Committee (TCQS) (2016-2019) and Managed Lane Committee (2013-2019).


Local transit -- Environmental aspects, Electric buses -- Management, Transportation -- Planning, Sustainable transportation


Transportation | Urban Studies

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Webinar: Electric Bus Deployment: Cost and Environmental Equity