The potential of operational strategies to reduce the public health impacts of transit systems by incorporating public health impacts as an objective in the vehicle scheduling problem was studied. The study was based on a real-world case study of the public transportation system in Vancouver, Canada. Distance-based PM 2.5 emissions factors were estimated for the diesel bus fleet. Vehicle scheduling optimization was performed using the HASTUS software package, which uses a proprietary algorithm to solve the vehicle scheduling problem. The results indicated that operational strategies have the potential to significantly reduce the public health impact of emissions from transit fleets. Intake of PM 2.5 was 73% greater in the scenario that did not include public health impacts as an objective in the vehicle scheduling problem. This is an abstract of a paper presented at the 104th AWMA Annual Conference and Exhibition 2011 (Orlando, FL 6/21-24/2011).