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Emerging research has shown that some street segments experience elevated crime levels based on the degree to which they are better connected to other street segments and expedite travel. This study builds on those findings and examines how the effect of public housing communities on nearby street robbery patterns is shaped by features of the surrounding street network. Using data from the Cincinnati Police Department (CPD), the Cincinnati Area Geographic Information System (CAGIS), and the Cincinnati Metropolitan Housing Authority (CMHA), this study assesses whether streets closer to public housing communities and more extensively connected within the overall street network are subject an elevated risk of street robbery. Results and implications will be discussed.