指示城市规模的长距离相关性
Yunfei Li1,2, Deniz Ural1, Jan W Kantelhardt3
1Urban Transformations, Potsdam Institute for Climate Impact Research - PIK, Member of Leibniz Association, Potsdam 14412, Germany.
PNAS nexus
|September 6, 2024
概括
城市大小的相关性延伸到整个国家,揭示了远程空间组织. 这项城市网络分析通过展示城市增长或衰退如何影响遥远的城市地区,从而影响发展政策.
科学领域:
- 城市研究是城市研究.
- 空间分析是一种空间分析.
- 网络科学 网络科学
背景情况:
- 城市系统在区域/国家规模上表现出功能组织.
- 了解城市大小分布是很好的,但空间组织的洞察力是概念性的.
- 需要对远距离城市大小相关性的实证分析.
研究的目的:
- 实证地分析城市大小 (面积) 之间的长距离相关性.
- 研究城市系统的空间组织.
- 评估城市之间的互动规模.
主要方法:
- 定义城市集群.
- 使用沃罗诺伊细胞获得邻里网络.
- 在最短路径上应用波动分析.
主要成果:
- 大多数欧洲国家在城市大小方面都显示出长距离的相关性.
- 一些国家表现出反相关性.
- 一个以中央位置理论为灵感的模型显示了正相关性,除非空间失序率很高.
结论:
- 城市互动延伸到全国范围的长距离.
- 城市发展或衰退可能会产生相当大的远程影响.
- 调查结果与城市规划和政策制定有关.
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