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

This work researches on the adoption of electric vehicles in households’ daily travel in Georgia state, with trip-specific characteristics and households’ socio-demographic attributes as input variables and proposes a data-driven and model-based approach for assessing the potential of adopting electric vehicles for daily travel to specific trips and reducing energy consumption and costs. This modeling framework could be applied to predict the future market penetration and actual adoption of electric vehicles and be used for transportation studies in various aspects, such as the promotion of alternative fuel vehicles, the policymaking of new-energy automobiles, the deployment strategy of charging piles, and the assignment of shared electric vehicles.

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

Language

• English

Project

• Status: Active
• Funding: $60000
• 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: 20201231
• 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