Abstract
With the development of economy and society, the comprehensive strength of Wuhan has been increasing rapidly. The expanding of urban space has caused traffic congestion, population density, environmental degradation, urban ecology and a series of social and environmental issues. It has an extremely important far-reaching meaning on discussing the law of urban expansion for the reasonable control of urban disorder, blind expansion and predicting future patterns of development of the city under different planning scenarios. Cellular automata (CA) is a popular and robust approach to the spatially explicit simulation of land-use and land-cover changes. This study attempts to use temporal dynamic simulation technology of cellular automata machine to predict future urban growth boundary in Wuhan, and to provide visualization process of future urban growth in Wuhan, which contributes to further validating the universal SLEUTH model. This paper is based on the remote sensing data of Wuhan in 1991, 2000, 2007, 2014, as well as Wuhan digital elevation data, various socioeconomic statistics and other data to establish spatial data system of Wuhan. Based on SLEUTH model and space-time simulation, this experiment forecasts the urban expansion in Wuhan in the next 20 years and visualizes it with GIS to better grasp historical inertia and characteristics of the urban expansion in this area.
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Acknowledgements
This research was supported by the Key Project in the National Science and Technology Pillar Program during the Twelfth Five years Plan Period of China (No. 2014AA123001).
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Fan, W., Shen, Y., Li, J., Li, L. (2017). Modelling Urban Growth Evolution Using SLEUTH Model: A Case Study in Wuhan City, China. In: Zhou, C., Su, F., Harvey, F., Xu, J. (eds) Spatial Data Handling in Big Data Era. Advances in Geographic Information Science. Springer, Singapore. https://doi.org/10.1007/978-981-10-4424-3_15
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DOI: https://doi.org/10.1007/978-981-10-4424-3_15
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