北京测绘2026，Vol.40Issue(9)：1247-1252,6.DOI:10.19580/j.cnki.1007-3000.2025100032
基于GIS的北京市多尺度道路网络空间分异特征
Spatial differentiation characteristics of multi-scale road networks in Beijing based on GIS
摘要
Abstract
Taking Beijing as the study area,this research first assigned differentiated weights to roads of varying hierarchical levels using line density and kernel density estimation methods to develop four distinct road network density calculation meth-ods.Hot spot analysis and spatial autocorrelation analysis were then applied to examine both the spatial differentiation charac-teristics of Beijing's road network across multiple scales and the comparative performance of the four density calculation methods.Results demonstrate that Beijing's road network exhibits pronounced spatial differentiation:road network density decreases gradually from the central urban area towards the urban periphery,and the southeastern region has a markedly higher density than the northwestern region.Hot spot areas are clustered in the central urban area,while cold spot areas are distributed along the city's northwestern boundary;the overall clustering pattern remains largely insensitive to variations in study scale.The global Moran's I value is above 0.970,indicating significant positive spatial autocorrelation.Three agglomeration patterns are identified:high-high agglomeration,low-low agglomeration,and non-significant agglomera-tion.Furthermore,the spatial agglomeration effect intensifies as the study scale becomes smaller.Comparative analysis of the four road network density metrics demonstrates that the weighted road network kernel density provides a more refined characterization of the fine-grained spatial distribution of Beijing's road network.关键词
空间特征/路网密度/空间自相关/热点分析/多尺度Key words
spatial characteristics/road density/spatial autocorrelation/hotspot analysis/multi-scale分类
天文与地球科学引用本文复制引用
曾晓莹..基于GIS的北京市多尺度道路网络空间分异特征[J].北京测绘,2026,40(9):1247-1252,6.基金项目
中国交通教育研究会教育科学研究课题(JT2022YB312) （JT2022YB312）
