Abstract
Cellular Automata (CA) urban simulation models are widely used to explore the complexities associated with urban systems due to their simplicity, flexibility and intuitiveness, and particularly because of its ability to incorporate the spatial and temporal dimensions of the processes. This study is placed in a context where the current planning practices in Sri Lanka are in need of such robust methods and versatile techniques to comprehend land uses in rapidly growing urban areas. Metronamica is a broadly used cellular automata based modeling application that is capable of explore such land use dynamics. This paper present the findings of calibrating Metronamica urban simulation model for Colombo Metropolitan area in Sri Lanka. 1987 is taken as the base year of the calibration and 1987-2007 is considered as the calibration period. Eleven cell states are defined in the study while 100m x 100m is taken as the cell size of the model. Calibration results are analyzed through the visual comparison, contingency table and kappa statistics.
Highlights
Urban systems are becoming ever larger and increasingly complex as urban economies, social and political structures and norms, and transportation and other infrastructure systems and technologies evolve (Waddell & Ulfarsson, 2004). Batty (2005) argued that our traditional image of the city no longer holds and cities appear much more complex than we generally assume
The findings of the study indicates the possibilities of employing this model as a potential tool in simulating urban land uses in Sri Lanka
As Byrne (1997) stated, the simulation is clearly a tool which helps us not to know what will happen, but what can be made to happen. This modeling exercise opened up further avenues to explore more on land use dynamics and to investigate the validity of the results obtained from a simulation of this nature and the contingencies involved in it
Summary
Urban systems are becoming ever larger and increasingly complex as urban economies, social and political structures and norms, and transportation and other infrastructure systems and technologies evolve (Waddell & Ulfarsson, 2004). Batty (2005) argued that our traditional image of the city no longer holds and cities appear much more complex than we generally assume. Batty (2005) argued that our traditional image of the city no longer holds and cities appear much more complex than we generally assume. One of the important subjects for concern in the field of urban planning b is to explore the dynamic trends of land use transition. Such attempts to understand the urban systems should be able to incorporate the uncertainties associated with the land use dynamics. Such uncertainties may arise due to numerous unknown factors involved (Cheng, Masser, & Ottens, 2014)
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