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OA
Spatial interaction patterns of expressway traffic flows based on a multi-scale dimension of sections,stations,and cities:a case study of Guangdong province
基于社会感知理论,利用高速公路联网收费大数据,通过图论建模、复杂网络和函数解析等方法,从"路段-站点-城市"尺度探索高速公路交通流的空间交互格局.结果表明:1)路段流作为"流动过程",提供了感知距离衰减过程和交通空间组织规律的微观视角.路段尺度下,广东省高速公路交通流密集路段属于路网"两环四横七射"区域,尤其集中在国家级高速公路.幂函数对高速公路客货流距离衰减规律均具有较高的解释度,高速公路机动车在经济社会发展核心区域的聚集程度随车型规模增大而递减,小型车(小汽车、轻型货车)聚集程度最高.2)较之路段流,站点流作为"流动结果",直观展现了高速公路服务于短程运输的特点.核心站点流具有空间邻近指向特征,且主要以短簇形态出现;边界站点流可划分出粤桂、粤湘和粤赣、粤闽三类交互关联.3)较之站点流,城市流提供了感知城市空间相互作用的宏观视角.基于城市流透视广东省"五大都市圈"发展现状,珠江西岸都市圈内部交通联系较为松散;广州、深圳两大核心都市圈具有交通融合发展的趋势.该研究梳理了多尺度交通流大数据的挖掘方法和模型关联,归纳了不同尺度交互格局下社会经济现象的感知差异,从尺度差异视角拓展了社会感知方法和理论研究.
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.
杨昀昊;李苑君;吴旗韬;丁浒;赵耀龙;罗庆
广东省科学院 广州地理研究所,广东 广州 510070广东省科学院 广州地理研究所,广东 广州 510070广东省科学院 广州地理研究所,广东 广州 510070华南师范大学 地理科学学院,广东 广州 510631华南师范大学 地理科学学院,广东 广州 510631武汉工程大学 数理学院,湖北 武汉 430205
管理科学
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
social sensing theoryspatial interactiontraffic big datatraffic complex networkexpressway flowsGuangdong province
《陕西师范大学学报(自然科学版)》 2026 (3)
25-37,13
国家自然科学基金(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)
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