Simulating Urban Shrinkage in Detroit via Agent-Based Modeling

While the world’s total urban population continues to grow, not all cities are witnessing such growth—some actually shrinking. This shrinkage has caused several problems emerge, including loss, economic depression, vacant properties and contraction of housing markets. Such issues challenge efforts make sustainable. there is a growing body work on studying shrinking cities, few explore phenomenon from bottom-up using dynamic computational models. To fill this gap, paper presents spatially explicit agent-based model stylized Detroit Tri-County area, an area shrinkage. Specifically, demonstrates how buying selling houses can lead through approach. The results indicate that, along with lower level transactions being captured, aggregated market conditions relating also denoted (i.e., markets). As such, potential simulation for exploring potentially offers means test policies achieve sustainability.