incentives

Analysis of the Decision to Lease an Electric Vehicle and the Impact of Incentives on the Electric Vehicle Lease Market

  • Principal Investigator Scott Hardman, Ph.D.
  • University of California, Davis
Using a choice model, the project will identify behavioral differences between those who purchase versus lease plug-in electric vehicles (PEVs), discuss how the characteristics of a vehicle technology influence the decision, and will investigate the impact of incentives on the decision to lease a PEV.
Project Status
Complete

Assessing Electric Vehicle Benefits in a Rural, Cold, and Mountainous Region

  • Principal Investigator Dana Rowangould, Ph.D.
  • University of Vermont
This study will collect real-world driving data in the mountainous and largely rural northern state of Vermont to determine how plug-in electric vehicle (PEV) use and performance differ across these contexts and for different vehicle types.
Project Status
In Progress

Assessing the Potential Impacts of Toll Discounts on Zero-Emission Vehicle Adoption

  • Principal Investigator Adam Davis, Ph.D
  • University of California, Davis
In this project, the research team will assess the impacts of discounted express lane tolls on ZEV adoption statewide and specifically in disadvantaged communities and areas where these discounts will have the largest impact. The results of this analysis will be used to propose a discount system that will encourage ZEV adoption but not overly burden express lane infrastructure.
Project Status
Complete

Assessing the Potential Impacts of Toll Discounts on Zero-Emission Vehicle Adoption

Research Product Type
Research Report
This report assesses the potential use of express lane discounts as a driver of zero-emission vehicle adoption by testing the effectiveness of a range of discount scenarios. The researchers find that providing even very large discounts for express lane usage to zero-emission vehicles would only slightly increase vehicle sales but would make these lanes much less capable of serving their other purposes. As part of this project, an Excel tool was developed that allows users to test their own scenarios.

Assessing Transportation Equity in California ZEV Incentives at Participating Dealerships

  • Principal Investigator Aviv Steren
  • University of California, Davis
This study aims to identify the existing bias, barriers, gaps, in zero-emission vehicle (ZEV) sales processes as well as the inventory and source of used ZEVs at the participating dealerships that hinder larger adoption of ZEVs, specifically in the low-middle income and disadvantaged communities households in California.
Project Status
In Progress

Assessment of Medium- and Heavy-Duty Zero Emission Vehicle Policy to Increase ZEV Purchases by Fleets

  • Principal Investigator Mahdi Shams
  • University of California, Davis
This project concentrates on policy-focused research supporting the design and implementation of medium- and heavy-duty zero-emission vehicle policies with a team of researchers from UC Davis' Institute of Transportation Studies. The study focuses on policy considerations for increasing fleets’ share of ZEVs' purchases.
Project Status
In Progress

Congestion Reduction via Personalized Incentives

  • Principal Investigator Meisam Razaviyayn, Ph.D.
  • University of Southern California
The purpose of this research is to develop real-time algorithms to reduce traffic congestion and improve routing efficiency via offering personalized incentives to drivers.
Project Status
Complete

Congestion Reduction via Personalized Incentives

Research Product Type
Research Report
With rapid population growth and urban development, traffic congestion has become an inescapable issue, especially in large cities. Many congestion reduction strategies have been proposed in the past, ranging from roadway extension to transportation demand management programs. In particular, congestion pricing schemes have been used as negative reinforcements for traffic control. This project studies a different approach of offering positive incentives to drivers to take alternative routes.

Congestion Reduction via Personalized Incentives

Research Product Type
Research Brief
Researchers at the University of Southern California developed a real-time, distributed algorithm for offering personalized incentives to individual drivers to make socially optimal routing decisions.
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