The dynamics of residential segregation in Buffalo: An agent-based simulation

Race and class factors have been studied as underlying causes of segregation for many years. Individual choices on race and economic constraints of living in one area versus another play an important role in residential segregation. An attempt has not yet been made to simulate the interplay of neighbourhood racial and economic composition in forming segregation using empirical micro-level data. Using City of Buffalo data, this study explores how individuals' housing location choices with respect to racial composition and housing sale prices in their neighbourhoods can give rise to aggregate patterns of residential segregation and how segregation at one point in time was contributing to increased segregation at later stages. The results show that observed patterns of segregation in the city could plausibly arise from the interaction of racial and economic factors. This study also demonstrates the application of such models on exploring the possible effects of proposed integration efforts.