Would You Consider a “Green” Vehicle? Anticipating Electric Vehicle Adoption Patterns and Emissions Impacts in Virginia with a Spatial Latent Choice Model

Plug-in electric vehicle (EV) sales are on the rise and growing EV adoption can be a key factor in helping regions achieve national- and state-level air quality standards for ozone and particulate matter, and ultimately carbon-emissions standards. In the Mid-Atlantic region, purchasing an EV over a gasoline-powered medium sedan can reduce transportation greenhouse gas emissions by 60 percent. The ability to predict which households in which neighborhoods are most likely to own such vehicles can provide important insights and opportunities for power-grid planning, transportation investments, and air quality policy-making. However, unlike the choice to purchase a traditional gasoline-powered vehicle, the decision to adopt an EV is complicated by technology familiarity, vehicle availability, and charging infrastructure provision. Previous quantitative research forecasting regional or household EV ownership trends tend to neglect one or more of these influence factors. The research proposed here aims to enrich the existing understanding of EV adoption by incorporating a combination of revealed-preference (RP) and stated-preference (SP) data that captures household demographics, vehicle traits, and zone-level infrastructure and land use considerations, all of which influence vehicle choice. The latent choice model proposed here minimizes SP data bias by recognizing differences in individual households’ vehicle choice set while incorporating a spatial analysis component which accounts for “neighbor effects” that are commonly present in early technology diffusion.

Language

• English

Project

• Status: Completed
• Sponsor Organizations:

  University of Virginia, Charlottesville

  Center for Transportation Studies
  P.O. Box 400742, Thornton Hall, D228
  Charlottesville, VA  United States  22903

  Old Dominion University

  Norfolk, VA  United States  23529

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Mid-Atlantic Transportation Sustainability Center

  University of Virginia
  Charlottesville, VA  United States 
• Performing Organizations:

  University of Virginia, Charlottesville

  Center for Transportation Studies
  P.O. Box 400742, Thornton Hall, D228
  Charlottesville, VA  United States  22903

  Old Dominion University

  Norfolk, VA  United States  23529
• Principal Investigators:

  Chen, Donna

  Paleti, Rajesh

• Start Date: 20170501
• Expected Completion Date: 0
• Actual Completion Date: 20190123

Subject/Index Terms

• TRT Terms: Choice models; Consumer preferences; Demographics; Electric vehicles; Forecasting; Households; Impacts; Infrastructure; Land use; Pollutants; Spatial analysis
• Geographic Terms: Virginia
• Subject Areas: Environment; Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01645918
• Record Type: Research project
• Source Agency: Mid-Atlantic Transportation Sustainability Center
• Files: UTC, RIP
• Created Date: Sep 11 2017 5:03PM