Inner-City Gentrification Simulation Using Hybrid Models of Cellular Automata and Multi-Agent Systems
نویسندگان
چکیده
Gentrification, as one example of complex urban behaviors, has enjoyed the spotlight among researchers in various fields of study such as economics, politics, sociology, and geography for about four decades. Most former research discusses theoretical issues, causes, and consequences of gentrification, but do not typically focus on building models to describe the dynamical process of gentrification. This thesis reports on an agent based model for simulating the phenomenon of inner-city gentrification using hybrid models of Cellular Automata (CA) and Multi Agent Systems (MAS) design and effort has been put into constructing an exploratory model of gentrification. The model method involves functions of CA and MAS focusing on behavior of agents, which are residential mobility and residents’ decision-making processes at micro-scale. The simulation model is applied to the Gateway district and its northern neighborhood in Salt Lake City, Utah. In order to test the model of gentrification, various hypotheses from gentrification theory are posed in
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