研究多维收缩的时空模式和黄河流域城市的驱动力
Guangrui Xing1, Dongfeng Wang2, Wanxin Cai3
1College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, 450046, Henan, China.
Scientific reports
|July 2, 2025
概括
中国黄河流域 (YRB) 的城市收缩显示出显著的空间差异和越来越多的人口,经济,社会和空间的影响. 随机森林分析发现了推动这种现象的关键因素.
科学领域:
- 城市和区域规划 城市和区域规划
- 经济地理 经济地理
- 环境科学 环境科学
背景情况:
- 中国快速的工业化和城市化需要了解城市发展动态.
- 黄河流域 (YRB) 在生态保护和高质量发展方面面临挑战,城市收缩是一个关键但未被充分研究的问题.
- 现有的研究还没有充分解决YRB内的城市收缩的多维特征和影响因素.
研究的目的:
- 构建一个全面的城市收缩评估指数系统在YRB.
- 分析YRB的62个城市城市城市缩的时空演变特征.
- 确定和量化影响城市收缩的关键因素在YRB.
主要方法:
- 开发了一个多维评估指数系统 (人口,经济,社会,空间).
- 采用法和分析层次过程来确定重量.
- 使用了收缩模型,转移矩阵,探索空间数据分析和随机森林 (RF) 回归.
主要成果:
- 在YRB的城市收缩显示出显著的空间差异化和集中发展的趋势.
- 人口,经济和社会缩主要是轻微到中度,而空间和全面的缩是高到严重的.
- 射频回归显示出高准确度,鉴定出来的因素解释了城市缩的60.66%.
结论:
- 在YRB的城市缩是一个复杂的,多维现象,影响越来越大.
- 了解这些动态对于解决城市发展不平衡和促进高质量的区域发展至关重要.
- 这项研究为区域城市收缩研究和政策制定提供了至关重要的参考.
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