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).
KEY LEARNING OUTCOMES
- Introduction to a bi-objective spatiotemporal optimization model for the strategic deployment of BEBs to minimize the cost of purchasing BEBs, on-route and in-depot charging stations, and to maximize environmental equity for disadvantaged populations.
- The optimization considers the unique constraints imposed by BEB operations in a spatiotemporal fashion.
- We used empirical data to offer a potential framework that can be adopted or expanded by transit agencies to optimally deploy BEBs by accommodating multiple goals and objectives that the transit agencies set forth.
- The research could help transit agencies develop optimal deployment strategies for battery-electric bus systems, allowing planners and decision makers to create transportation systems that better serve livable and sustainable communities.
This webinar is based on a study funded by the National Institute for Transportation and Communities (NITC) and conducted at the University of Utah. Read more about the research: An Electric Bus Deployment Framework for Improved Air Quality and Transit Operational Efficiency.
This 60-minute webinar is eligible for 1 hour of professional development credit for AICP (see our provider summary). We provide an electronic attendance certificate for other types of certification maintenance.
Photo by Oleksandr Filon/iStock
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This webinar is hosted by the Transportation Research and Education Center (TREC) at Portland State University. The research was funded by the National Institute for Transportation and Communities (NITC), a program of TREC and one of five U.S. Department of Transportation national university transportation centers. The NITC program is a Portland State-led partnership with the University of Oregon, Oregon Institute of Technology, University of Utah and new partners University of Arizona and University of Texas at Arlington. We pursue our theme — improving mobility of people and goods to build strong communities — through research, education and technology transfer.