Green infrastructure is vegetation that traps stormwater and cools its surroundings through evapotranspiration. During my work with Dr. Stuart Gaffin on thermal imaging and green infrastructure, I noticed that green infrastructure sites, such as bioswales and stormwater greenstreets, in New York City were clustered in certain areas, especially in those that  I knew to have low heat vulnerability. Based on this observation, I independently created a model to evaluate the effectiveness of the New York City Department of Environmental Protection (DEP)’s green infrastructure program. I first created a heat vulnerability index (HVI) by looking at risk factors (age and poverty index) for all of New York City’s 188 Census neighborhoods, a much more accurate model than that of the existing case studies using United Health Fund (UHF) neighborhoods. This allowed me to find the ideal distribution of green infrastructure sites to target the areas with the highest heat vulnerability. I determined the number of green infrastructure sites already in each neighborhood to calculate a control HVI. By comparing the actual and control HVI values for each neighborhood, I calculated the effectiveness of the program. Finally, I performed a multicriteria decision analysis in QGIS using Python algorithms to rank the neighborhoods for future green infrastructure construction.