This white paper will review the key literature and estimates, attempt to understand the reason for differences and resolve these, undertake sensitivity analysis and a “final” robust analysis with conclusions about the best applications of BETs and where they may be very challenged to replace diesels.
This project studies how different fueling technologies and technologies-for-rail can reduce life cycle greenhouse gas and pollutant emissions from train transportation.
This white paper presents a statistical meta-analysis of eco-driving feedback studies, with special focus on feedback interventions and how they impact fuel economy.
This project will address limitations in the current literature surrounding air quality impacts of vehicle traffic, especially in underserved communities. The team will employ a refined near-roadway emission exposure surrogate that balances spatial precision and computational burden to estimate changes in exposure levels and health risks and the distribution of these burdens over time as EV adoption increases.
