A CELL-DEVS MODEL FOR LOGISTIC URBAN GROWTH

As society increasingly moves towards sustainable urban growth, urban planners and city officials require tools that efficiently support spatial decision-making. Modeling and simulation (M&S) have been shown to be an adequate tool in this case. Cell-DEVS offers an optimized method of spatial simulation that can tackle computationally complex scenarios such as urban growth. To demonstrate this, we implement and discuss a well-known model, logistic urban growth (LUG), using the Cell-DEVS formalism. We show that this implementation supports the standard characteristics of LUG models by studying the variation of different parameters of the model such as restricted growth areas, spatial configuration and distance to features of interest.