陕西师范大学学报（自然科学版）2026，Vol.54Issue(3)：25-37,13.DOI:10.15983/j.cnki.jsnu.2026302
基于"路段-站点-城市"多级尺度的高速公路交通流空间交互格局研究
Spatial interaction patterns of expressway traffic flows based on a multi-scale dimension of sections,stations,and cities:a case study of Guangdong province
摘要
Abstract
Based on social sensing theory,multi-source data from the online toll collection system(OTC)are used and methods such as graph theory modeling,complex networks,and function analysis are employed to explore the spatial interaction patterns of expressway traffic flow from the"section-station-city"scale.The results indicate that:1)Section flow as a"flow process"which provides a micro perspective on the decay process of perceived distance and the spatial organization of traffic.At the section scale,densely trafficked sections of expressways in Guangdong province belong to the network area of"two loops,four horizontals and seven radials",particularly concentrated on national expressways.Power functions have a high degree of explanatory power for the distance decay law of passenger and freight flows on expressways,and the aggregation level of motor vehicles in the Pearl River Delta urban agglomeration decreases with increasing vehicle size,with small vehicles(cars,light trucks)having the highest degree of aggregation.2)Compared to section flow,as a"flow result",station flow intuitively exhibits the characteristics of expressways serving short-distance transportation.Core station flows exhibit spatial proximity and primarily appear in short-cluster forms.Boundary station flows can be categorized into three interaction relationships:Guangdong-Guangxi,Guangdong-Hunan and Guangdong-Jiangxi,and Guangdong-Fujian.3)In contrast to station flow,city flow offers a macro perspective on perceived urban spatial interactions.Based on city flow,the study examines the current development status of the"five major urban agglomerations"in Guangdong province.It reveals that internal traffic connections within the urban agglomeration on the west bank of the Pearl River are relatively loose.Conversely,the core urban agglomerations of Guangzhou and Shenzhen exhibit a trend of integrated traffic development.This study elucidates the methods and model correlations for mining multi-scale traffic flow big data,summarizes the perceptual differences in socio-economic phenomena under different scales of interaction patterns,and extends the methods and theoretical research of social perception from the perspective of scale differences.关键词
社会感知理论/空间交互/交通大数据/交通复杂网络/高速公路流/广东省Key words
social sensing theory/spatial interaction/traffic big data/traffic complex network/expressway flows/Guangdong province分类
管理科学引用本文复制引用
杨昀昊,李苑君,吴旗韬,丁浒,赵耀龙,罗庆..基于"路段-站点-城市"多级尺度的高速公路交通流空间交互格局研究[J].陕西师范大学学报（自然科学版）,2026,54(3):25-37,13.基金项目
国家自然科学基金(42071165,42301200) （42071165,42301200）
广东省科学院打造综合产业技术创新中心行动资金(2023GDASZH-2023010101) （2023GDASZH-2023010101）
