This project seeks to unpack the political opposition to gasoline taxes, by examining how precinct-level support for California Proposition 6, which would have immediately reduced state gasoline taxes, covaries with the political ideology of voters and the economic burden of gasoline taxes.
As yet, little is known about the efficacy of e-bike incentive programs in changing travel behavior. To understand the potential of these programs in this area, UC Davis researchers analyzed survey data from rebate recipients in Northern California and evaluated rebate programs for effects of e-bike ownership on travel behavior.
This paper evaluates the role of incentives for zero and near-zero emission vehicle (ZEV) technologies in last-mile delivery operations. Specifically, the study investigates the total cost of ownership and life cycle environmental impacts associated with last-mile deliveries, and compares the private and public costs of different vehicle powertrain and fuel pathways, under existing incentives in the State of California.
This webinar highlighted new analysis from ITS-Davis that examines six hypothetical fee structure scenarios that could provide a sustainable source of funding for California’s Clean Vehicle Rebate Program.
This Excel tool allows users to assess the potential use of express lane discounts as a driver of ZEV adoption by testing the effectiveness of a range of discount scenarios, including scenario
Given the increase in demand and incentives for e-bicycling; this project seeks to evaluate the behavioral effects (change in bicycling, driving, use of transit) of these incentives to help guide future policy interventions for e-bicycling. The researchers will examine these changes based on survey data, and will propose future study designs for more in-depth analyses and evaluations of e-bike incentives.
This report studies the responses given by PEV lessees and purchasers to the question of what they would do in the absence of the federal tax credit. To analyze the indications made by the responses, researchers sampled 7,000 California PEV drivers and used two logistic regression models and specified them.
