基于ANN-CA模型和物联网的土地领土空间规划的适宜性评估
1School of Resources, Environment and Architectural Engineering, Chifeng University, Chifeng, 024000, China.
Heliyon
|May 30, 2024
概括
这项研究将物联网 (IoT) 技术与人工神经网络-细胞自动机 (ANN-CA) 模型相结合,用于强大的领土空间规划和城市发展适度评估. 综合方法提高了土地使用预测的准确性,并支持可持续的城市增长.
科学领域:
- 地理信息科学 地理信息科学
- 城市规划 城市规划
- 人工智能的人工智能
背景情况:
- 传统的土地利用分析在整合多样化的数据源方面面临着挑战.
- 准确预测未来的土地使用对于可持续的城市发展至关重要.
- 评估城市发展的适宜性需要复杂的建模技术.
研究的目的:
- 探索物联网 (IoT) 技术在土地规划中的应用.
- 使用ANN-CA模型开发城市发展适宜性评估的指标系统.
- 准确预测未来的土地使用模式,并支持城市规划决策.
主要方法:
- 使用物联网技术收集和总结数据.
- 应用人工神经网络-细胞自动机 (ANN-CA) 模型,使用"双重评估"概念.
- 使用模拟准确度,错误分析和卡帕系数对模型的评估.
主要成果:
- 集成的物联网和ANN-CA模型有效地分析了土地使用的演变和城市发展的适用性.
- 通过优化模型参数和数据处理实现了高准确度的土地利用预测结果.
- 城市发展适度的空间差异被确定,中心地区更有利.
结论:
- 物联网和ANN-CA的结合为土地利用分析和城市规划提供了强大的工具.
- 该模型为可持续城市发展提供了有价值的参考和支持.
- 调查结果指导决策者进行规划,以实现有序的城市发展和繁荣.
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