This project measures NO2 and particulate matter (PM 2.5) concentrations in Riverside, California. There is special focus on the spatial and temporal variability of the pollutants in relation to major urban roadways.
Automated vehicles have the potential to reduce the need for parking, but they also have the potential to increase congestion through picking up and dropping off passengers. This project studies such possible environmental effects.
Through development of necessary benchmarks as well as robust tools for assessment and improvement, this work will better inform the procurement of concrete for transportation infrastructure. Further, the tools developed will quantify potential co-benefits or unintended consequences to other environmental impacts.