This study will develop a framework that integrates an activity-based travel demand model with path retention, an emissions model (MOVES Matrix) and demographic analysis system (Population Synthesis).
This white paper explores how an increasing role for zero-emission vehicles over time could reach certain climate change goals by 2050 – making for a very different future. This paper focuses primarily on trucks, as trucking represents 82% of freight energy use, but also provides some comparisons for other modes.
For this research, the researcher proposes to evaluate the effects of transportation fuel subsidies on air quality using economic and econometric modeling. In particular, they will analyze the impact of the Iranian energy subsidy reform on air quality using a regression discontinuity design.
This research analyze five promising transportation control measures: Parking pricing in the morning peak period, Doubling transit frequency doubling, Cent/mile congestion pricing, Implementing an increase in the gasoline tax, and Opting-in to California’s low emission vehicle (LEV) program.
Participants in this NCST-sponsored symposium will hear from speakers in academia, consulting, government institutions, associations, and industry discuss the latest research in transportation issues.
The overarching goal of this dissertation is to learn about the future options and policies for a low carbon energy system and transportation sector. It consists of three chapters build upon and extend the CA-TIMES framework, and address three key issues in energy/economic modeling.
This project explored how locating charging facilities at California’s highway rest stops might impact electricity demand, grid operation, and integration of renewables like solar and wind into California’s energy mix.
In this project, the researchers will explore how locating charging facilities at California’s highway rest stops might impact electricity demand, grid operation, and renewable energy integration in the state's energy supply.
