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.
Highlights
Urban modeling studies are currently considered as an essential component for numerous complex environmentalHow to cite this paper: Mubea, K. and Menz, G. (2014) Spatial Effects of Varying Model Coefficients in Urban Growth Modeling in Nairobi, Kenya
In this research we explored the spatial effects of varying the UGM model parameters and the results indicate the sensitivity of our UGM in urban growth modeling
Kenya’s capital, was used as an example of a rapidly expanding African city to analyze the spatial effects of varying urban growth parameters in urban land-use modeling
Summary
Urban modeling studies are currently considered as an essential component for numerous complex environmentalHow to cite this paper: Mubea, K. and Menz, G. (2014) Spatial Effects of Varying Model Coefficients in Urban Growth Modeling in Nairobi, Kenya. Urban modeling studies are currently considered as an essential component for numerous complex environmental. How to cite this paper: Mubea, K. and Menz, G. (2014) Spatial Effects of Varying Model Coefficients in Urban Growth Modeling in Nairobi, Kenya. Journal of Geographic Information System, 6, 636-652. These studies play a vital role in sustainable planning and are crucial for planning future urban development. Over the last few decades, cities in sub-Saharan Africa have experienced quite rapid growth rates; Nairobi grew at a rate of growth of 4.9 per cent between 1990 and 2006 [2]
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have