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Dynamic Simulation and Forecasting of Spatial Expansion in Small and Medium-Sized Cities Using ANN-CA-Markov Models
被引:0
|作者:
Gao, Chengquan
[1
]
机构:
[1] Henan Univ Urban Construct, Sch Architecture & Urban Planning, Pingdingshan 467001, Peoples R China
关键词:
ANN-CA;
Markov;
small and medium-sized cities;
spatial;
planning;
D O I:
10.14569/IJACSA.2024.01508101
中图分类号:
TP301 [理论、方法];
学科分类号:
081202 ;
摘要:
This study utilizes the ANN-CA-Markov (Artificial spatial planning and expansion challenges in China's small and medium-sized cities. With China's urbanization rate reaching 59.58% in 2018 and expected to hit 70% by 2030, the country is entering a mid-stage of urbanization, leading to rapid expansion of megacities and a gradual decline in smaller cities. The study aims to dynamically simulate urban spatiotemporal evolution and predict future land use changes, integrating land use data, DEM elevation, transportation, administrative centers, and ecological information. The model forecasts the ecological spatial layout of Wanzhou District by 2025, with results indicating a slight decrease in ecological space and an increase in construction land. This suggests a need to balance urban development with ecological sustainability amidst rapid urbanization. The study demonstrates the high accuracy of the ANN-CA-Markov model in predicting land use changes and provides valuable insights for urban planners in making informed land use decisions.
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页码:1026 / 1039
页数:14
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