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Schmitz, M., Bode, T., Thamm, H.P. and Cremers, A.B. (2007) XULU—A Generic JAVA-Based Platform to Simulate Land Use and Land Cover Change. In: Oxley, L. and Kulasiri, D., Eds., MODSIM 2007 International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand, 2645-2649.

has been cited by the following article:

• TITLE: Spatial Effects of Varying Model Coefficients in Urban Growth Modeling in Nairobi, Kenya

  AUTHORS: Kenneth Mubea, Gunter Menz

  KEYWORDS: Urban Growth Model, Cellular Automata, XULU, Model Coefficients, Prediction, Sustainable Development

  JOURNAL NAME: Journal of Geographic Information System, Vol.6 No.6, December 8, 2014

  ABSTRACT: Urban land-use modeling has gained increased attention as a research topic over the last decade. This has been attributed to advances in remote sensing and computing technology that now can process several models simultaneously at regional and local levels. In this research we implemented a cellular automata (CA) urban growth model (UGM) integrated in the XULU modeling frame-work (eXtendable Unified Land Use Modeling Platform). We used multi-temporal Landsat satellite image sets for 1986, 2000 and 2010 to map urban land-use in Nairobi. We also tested the spatial effects of varying model coefficients. This approach improved model performance and aided in understanding the particular urban land-use system dynamics operating in our Nairobi study area. The UGM was calibrated for Nairobi and predicted development was derived for the city for the year 2030 when Kenya plans to attain Vision 2030. Observed land-use changes in urban areas were compared to the results of UGM modeling for the year 2010. The results indicate that varying the UGM model coefficients simulates urban growth in different directions and magnitudes. This approach is useful to planners and policy makers because the model outputs can identify specific areas within the urban complex which will require infrastructure and amenities in order to realize sustainable development.