1
Associate Professor, Faculty of Architecture and Urban Planning, Shahid Beheshti University
2
Urban Planning, Faculty of Architecture and Urban Planning, Shahid Beheshti University
Abstract
A cellular automaton consists of a regular finite grid of cells, each in one of a finite number of states. A set of rules defining the state of neighboring cells is defined relative to the specified cell. An initial state is selected by assigning a state for each cell and a new generation is created, according to some fixed rules that determine the new state of each cell in terms of the current state of the cell and the states of the cells in its neighborhood. Cellular automata have been applied in diverse disciplines including biology, chemistry and genetics. This paper explains the result of using cellular automata for modeling urban land use. It is demonstrated that simple spatial rules may lead to complex urban behavior. Using logistic regression models, influential factors are quantified explaining the mechanisms of change. Furthermore, the model identifies cells with high land use conversion potential.
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