While there are many initiatives to create incentives for investors and developers to invest in and redevelop brownfield sites, efficient prioritization of brownfields by taking environmental, economic, and social constraints into account remains a challenge. The goal of this study was to introduce a method to screen numerous brownfields over large geographic areas by using Geographic Information Systems (GIS), and to assess and prioritize such sites for green building suitability based on Leadership in Energy and Environmental Design (LEED). A case study was completed for the greater Bridgeport region, in the state of Connecticut, U.S. With 279 brownfield sites, the city has one of the highest number of brownfields in the state. Variables chosen to determine suitability and prioritization were based on LEED version 4 for New Construction and Major Renovation. Chosen variables input into GIS make up 13 points on the LEED checklist. Over 6% of the brownfield sites received 10 LEED points, which has the potential to shift up the certification level. On the other hand, 15% of sites received 5 points, which was the lowest score found in the study. Nearly half of brownfield sites received 8 points. The developed method proved to be efficient to analyze large numbers of brownfields, making it a viable option for governments and developers alike to make informed decisions for brownfield redevelopment. The study
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