A Data-driven and Model-based Approach for Assessing the Potential of Electric Vehicle Adoption and Corresponding Reduction in Energy Use and Emissions: A Case Study in Georgia

This research assesses the energy and emissions impacts associated with the potential purchase of EVs and the adoption of EVs to specific trips in Georgia households, using household socio-demographic attributes and trip-specific characteristics as input variables into an enhanced two-phase, data-driven modeling approach. This modeling framework is scalable, can be applied to specific regions and states, and can be used to estimate the future EV market penetration and adoption of EVs to specific trips, making the tools useful in a variety of transportation studies, such as promotion of alternative fueled vehicles via incentive programs, assessment of charging station deployment strategies, and assignment of shared EVs.

• Record URL:
  https://ncst.ucdavis.edu/project/data-driven-model-based-approach-assessing-potential-adoption-electric-vehicles

Language

• English

Project

• Status: Active
• Funding: $120000
• Contract Numbers:

  DOT 69A3551747114

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  Georgia State Road and Tollway Authority

  Atlanta,   United States 
• Managing Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 
• Project Managers:

  Iacobucci, Lauren

• Performing Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  Georgia Institute of Technology, Atlanta

  790 Atlantic Drive
  Atlanta, GA  United States  30332-0355
• Principal Investigators:

  Dai, Ziyi

  Rodgers, Michael

  Liu, Haobing

• Start Date: 20200101
• Expected Completion Date: 20211031
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Case studies; Costs; Demographics; Electric vehicles; Energy consumption; Forecasting; Households; Implementation; Market penetration; Travel behavior
• Geographic Terms: Georgia
• Subject Areas: Energy; Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01724962
• Record Type: Research project
• Source Agency: National Center for Sustainable Transportation
• Contract Numbers: DOT 69A3551747114
• Files: UTC, RIP
• Created Date: Dec 11 2019 2:07PM