Dynamic urban expansion simulation at regional scale is one of the important research methodologies in Land Use/Cover Change （LUCC） and global environmental change influenced by urbanization. However, previous studi...Dynamic urban expansion simulation at regional scale is one of the important research methodologies in Land Use/Cover Change （LUCC） and global environmental change influenced by urbanization. However, previous studies indicate that the single urban expansion simulation for future scenarios at local scale cannot meet the requirements for characterizing and interpreting the interactive mechanisms of regional urbanization and global environmental change. This study constructed a regional Dynamic Urban Expansion Model （Reg-DUEM） suitable for different scenarios by integrating the Artificial Neural Network （ANN） and Cellular Automaton （CA） model. Firstly we analyzed the temporal and spatial characteristics of urban expansion and acquired a prior knowledge rules using land use/cover change datasets of Beijing-Tianjin-Tangshan metropolitan area. The future urban expansion under different scenarios is then simulated based on a baseline model, economic models, policy models and the structural adjustment model. The results indicate that Reg-DUEM has good reliability for a non-linear expansion simulation at regional scale influenced by macro-policies. The simulating results show that future urban expansion patterns from different scenarios of the metropolitan area have the tremendous spatio-temporal differences. Future urban expansion will shift quickly from Beijing metropolis to the periphery of Tianjin and Tangshan city along coastal belt.展开更多
基金The Young Scientist Fund of National Natural Science Foundation of China, No.40901224 National Basic Research Program of China, No.2010CB950900+2 种基金 Opening Foundation of State Key Laboratory of Remote Sensing Science, No.2009KFJJ005 Opening Foundation of State Key Lab of Resources and Environmental Information System, No.A0725 Swedish Research Links, No.2006-24724-44416-13
文摘Dynamic urban expansion simulation at regional scale is one of the important research methodologies in Land Use/Cover Change （LUCC） and global environmental change influenced by urbanization. However, previous studies indicate that the single urban expansion simulation for future scenarios at local scale cannot meet the requirements for characterizing and interpreting the interactive mechanisms of regional urbanization and global environmental change. This study constructed a regional Dynamic Urban Expansion Model （Reg-DUEM） suitable for different scenarios by integrating the Artificial Neural Network （ANN） and Cellular Automaton （CA） model. Firstly we analyzed the temporal and spatial characteristics of urban expansion and acquired a prior knowledge rules using land use/cover change datasets of Beijing-Tianjin-Tangshan metropolitan area. The future urban expansion under different scenarios is then simulated based on a baseline model, economic models, policy models and the structural adjustment model. The results indicate that Reg-DUEM has good reliability for a non-linear expansion simulation at regional scale influenced by macro-policies. The simulating results show that future urban expansion patterns from different scenarios of the metropolitan area have the tremendous spatio-temporal differences. Future urban expansion will shift quickly from Beijing metropolis to the periphery of Tianjin and Tangshan city along coastal belt.
