economy

Researchers examined the possibility of ride-sharing being able to mitigate traffic congestion by developing a two-stage algorithm to solve the routing problem with ride-share in real-time within a context where ride-sharing drivers are traveling toward their own destinations while making detours to serve passengers with flexible pickup and drop-off locations.

This publication reviews some of the papers researchers have written developing and estimating dynamic structural econometric models of dynamic games in the ethanol industry

This research combines three separate dimensions of modeling the world oil market, dynamic optimization, game theory, and econometrics, to analyze the world petroleum industry, energy subsidies, and air pollution.

In this paper researchers discuss the economics of climate change.

High-resolution data from Uber and Lyft in California are used to provide insights into the use of electric vehicles in ride-hailing.

Researchers developed feebate structures that are acceptable to key stakeholders, fair across demographic/income groups and economically efficient.

Researchers critically review the Environmental Protection Agency’s (EPA) assessment of the costs and benefits of the Renewable Fuel Standard (RFS2) as summarized in its regulatory impact analysis (RIA).

This study used a spatial economic model developed for the Sacramento region and an advanced travel demand model to simulate a land use and transportation plan from 2014 to 2030.

This policy brief examines the adoption of plug-in electric vehicles in California between 2014 and 2016, both spatially and temporally, to gain a better understanding of the technology diffusion process and the effect of technology exposure, while controlling for sociodemographic factors and the effect of PEV incentive programs on PEV adoption in the state.