Research on monocentric model of urbanization by agent-based simulation
2008
Over the past years, GIS have been widely used for modeling urbanization from a variety of perspectives such as digital
terrain representation and overlay analysis using cell-based data platform. Similarly, simulation of urban dynamics has
been achieved with the use of Cellular Automata. In contrast to these approaches, agent-based simulation provides a
much more powerful set of tools. This allows researchers to set up a counterpart for real environmental and urban
systems in computer for experimentation and scenario analysis. This Paper basically reviews the research on the
economic mechanism of urbanization and an agent-based monocentric model is setup for further understanding the
urbanization process and mechanism in China. We build an endogenous growth model with dynamic interactions
between spatial agglomeration and urban development by using agent-based simulation. It simulates the migration
decisions of two main types of agents, namely rural and urban households between rural and urban area. The model
contains multiple economic interactions that are crucial in understanding urbanization and industrial process in China.
These adaptive agents can adjust their supply and demand according to the market situation by a learning algorithm. The
simulation result shows this agent-based urban model is able to perform the regeneration and to produce likely-to-occur
projections of reality.
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