Simulation and prediction of Shanghai urban spatial change based on random forest and CA-Markov model
Xuewei Dang
Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China
Liang Zhou
Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China
Xiaoen Li
Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China
Haowei Mu
Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China
Lei Che
College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070, China
Fuwei Qiao
College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070, China
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Flooding by extreme weather events and human activities can lead to catastrophic impacts in coastal areas. The research illustrates the importance of assessing the performance of different future urban development scenarios in response to climate change, and the simulation study of urban risks will prove to decision makers that incorporating disaster prevention measures into urban development plans will help reduce disaster losses and improve the ability of urban systems to respond to floods.
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Flooding by extreme weather events and human activities can lead to catastrophic impacts in coastal areas. The research illustrates the importance of assessing the performance of different future urban development scenarios in response to climate change, and the simulation study of urban risks will prove to decision makers that incorporating disaster prevention measures into urban development plans will help reduce disaster losses and improve the ability of urban systems to respond to floods.
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