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. Generally, the default Self-Modification Parameters (SMPs) values, rather than the proper SMPs parameters group, has been applied in the SLEUTH model. However, various pre-setting of SMPs will simulate different morphology and structure of urban sprawl. The study is intended to propose a practical tool for the quantification response to model input variables on modelling complex urban systems. In this research, the parameter weight sorting job has been carried out to provide an adjusting priority experience. Besides, the model output imagery indices were used to describe the morphology, distribution of the urban prediction sprawl and the correlationship with urban road network effectively. Finally, the adjusting factors have been calculated with AHP method. The work helps geographers to determine how to make further use of the inner forward transmission mechanism on the SLEUTH model for further improving it in performance.

A BOTTOM-UP QUANTITATIVE MECHANISM FOR UPDATING THE SELF-MODIFICATION PARAMETERS IN THE SLEUTH MODEL