My team was tasked with modeling and analyzing the growth of dockless vehicles in the United States. We chose to study how they will affect carbon emissions, particularly in dense, urban areas. Together, we wrote a python script to estimate how the number of daily users will change over the next 30 years. Then we used those values to estimate the number of tons of CO2 that dockless vehicles could eliminate. To identify which variables in our estimations had the most significant effect, we used two more python scripts to create a tornado diagram and perform a monte carlo simulation. Once we knew which variables to focus on, we developed multiple recommendations for the US Department of Transportation on how they can most effectively use the growth of dockless vehicles to make America greener. Our simulations showed that if the DoT followed through on our recommendations, they could save 150,000 metric tons of CO2 from entering the atmosphere.