2024/10/23 by Giovanni Mauro, Nicola Pedreschi, Mauro, Giovanni +5 · 2 voices · 1 citation
Social Sciences · Engineering · Environmental Science · #Urbanization and City Planning #Urban Design and Spatial Analysis #Land Use and Ecosystem Services
paper · pdf · doi:10.1142/s0219525925400065
The phenomenon of gentrification of an urban area is characterized by the displacement of lower-income residents due to rising living costs and an influx of wealthier individuals. This study presents an agent-based model that simulates urban gentrification through the relocation of three income groups — low, middle, and high — driven by living costs. The model incorporates economic and sociological theories to generate realistic neighborhood transition patterns. We introduce a temporal network-based measure to track the outflow of low-income residents and the inflow of middle- and high-income residents over time. Our experiments reveal that high-income residents trigger gentrification and that our network-based measure consistently detects gentrification patterns earlier than traditional count-based methods, potentially serving as an early detection tool in real-world scenarios. Moreover, the analysis highlights how city density promotes gentrification. This framework offers valuable insights for understanding gentrification dynamics and informing urban planning and policy decisions.