A data-driven selection process will be used to generate the sampling frame of eligible clusters. All census block groups (CBGs) in the city will be assigned a “priority score”. The scores will be based on a combination of factors including: building permits, police incidents, property sales, current use (commercial, vacant, residential, recreation, natural areas, community services, industrial, other), low-income population (percent at the census block level), unemployment rate (percent at the census block level), and housing cost burden (percent at the census block level). Additionally, each property in the city will be assigned a priority score based on a combination of factors including: 311 calls, police incidents, building permits, code violation, condition of property, fix and flip, property sales, and property tax delinquency status. These scores will be used to determine where clusters should be located within priority CBGs. CBGs with a score of over 55 and properties with an eligibility score of over 40 will be eligible to receive the intervention.
Final generation of the sampling frame will take place within BuildingBlocks, wherein the researchers will eliminate any non-qualifying CBGs, which include a large proportion of properties that are not eligible (i.e. cemeteries, parks, large commercial districts, etc.). Within the priority areas, primarily contained within one CBG, clusters of 200 properties will be selected as eligible. Most clusters will be contained to one council district and one CBG, however based on neighborhood layout, there will be a few exceptions. Where this is the case, in the analysis we will use a weighted average of CBG characteristics for each cluster, proportional to the number of properties from each CBG. The City of Buffalo will visit eligible locations to assess suitability to provide final certification for inclusion in the sampling frame.