京津冀地区城镇人口的空间自相关函数分析研究

付萌; 陈彦光

doi:10.13959/j.issn.1003-2398.2026.02.007

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人文地理 ›› 2026, Vol. 41 ›› Issue (2) : 59-69. DOI: 10.13959/j.issn.1003-2398.2026.02.007

人口

京津冀地区城镇人口的空间自相关函数分析研究

付萌, 陈彦光

作者信息 +

SPATIAL AUTOCORRELATION FUNCTION ANALYSIS OF URBAN POPULATION IN THE BEIJING-TIANJIN-HEBEI REGION

FU Meng, CHEN Yan-guang

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摘要

京津冀城镇体系研究成就显著，但其空间关联特征及其演化机理仍有待揭示。本文基于公路距离和2000—2020年县级人口普查数据，运用空间自相关函数图谱方法，探索了京津冀空间自相关格局及其变化趋势。结果表明：其一，区域城镇人口空间自相关有三个特征距离：190公里、300公里和500公里。其二，人口累积自相关显著而密度自相关不显著。其三，研究期内人口空间自相关程度增强，但自相关格局无显著变化。由此得出结论：第一，190公里范围内人口关联程度高；300公里范围内人口倾向于空间集聚；最大关联范围约为500公里。第二，区域人口自相关变化主要表现在“量”、而非“质”。第三，区域整体城际人口关联偏弱，未出现显著的大城市人口扩散过程，且边缘小城市之间尚未形成有效关联。京津冀城镇体系的整体性有待加强。本文可为京津冀空间相互作用研究及空间规划提供参考，研究方法可为学界同行开展空间分析提供启发。

Abstract

Significant progress has been made in studying the Beijing-Tianjin-Hebei urban system, yet its spatial correlation characteristics and evolution mechanisms remain insufficiently understood. This paper examines spatial autocorrelation patterns of urban population using road distance and county-level census data from 2000 to 2020, with spatial autocorrelation function graphs as the main method. Results show that: there are three characteristic correlation distances, 190 km, 300 km, and 500 km. Urban population exhibits strong cumulative autocorrelation, while density autocorrelation is weak. Over the study period, the strength of spatial autocorrelation gradually increased, but the overall pattern remained stable. Specifically, there is high population correlation within 190 km, spatial clustering within 300 km, and a maximum correlation range around 500 km. Despite intensifying correlations, no qualitative changes in autocorrelation dynamics are observed. The analysis further reveals weak intercity population correlation across the region, with no evident diffusion from large cities and limited interaction among smaller peripheral cities. The study emphasizes the need to enhance the integrity of the Beijing-Tianjin-Hebei urban system. These insights can inform further research on spatial interaction and planning in the region, with the research methods offering inspiration for spatial analysis endeavors among academic colleagues.

导出引用

付萌, 陈彦光. 京津冀地区城镇人口的空间自相关函数分析研究[J]. 人文地理. 2026, 41(2): 59-69 https://doi.org/10.13959/j.issn.1003-2398.2026.02.007

FU Meng, CHEN Yan-guang. SPATIAL AUTOCORRELATION FUNCTION ANALYSIS OF URBAN POPULATION IN THE BEIJING-TIANJIN-HEBEI REGION[J]. HUMAN GEOGRAPHY. 2026, 41(2): 59-69 https://doi.org/10.13959/j.issn.1003-2398.2026.02.007

中图分类号： K901.8

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