基于交通大数据网络的中国城市群空间识别和结构特征研究  

Spatial identification and structural characteristics of Chineseurban agglomerations based on traffic big data network

作　　者：封志明[1,3] 游世情 游珍 FENG Zhiming;YOU Shiqing;YOU Zhen(Resource Utilization and Environmental Remediation Laboratory,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;School of Geography and Information Engineering,China University of Geosciences,Wuhan 430074,China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院地理科学与资源研究所资源利用与环境修复实验室,北京100101 [2]中国地质大学(武汉)地理与信息工程学院,武汉430074 [3]中国科学院大学资源与环境学院,北京100049

出　　处：《地理研究》2023年第7期1729-1742,共14页Geographical Research

基　　金：国家社会科学基金重大项目(18ZDA131)。

摘　　要：城市群空间范围识别和结构特征分析是城市群研究的热点和基础性工作。交通网络既是人地关系地域系统演化的重要驱动因子,也是城市群空间形态的重要支撑。本文以中国地级市为研究对象,基于多源交通大数据构建了交通综合OD矩阵,通过主成分迭代分解算法提取了城市群空间范围,结合城市连通度和影响力两个指标分析了城市群结构特征,最后对城市群内部连通度和外向联系度进行了评估。研究表明:①中国存在21个城市群;②城市群呈现单核、双核、多核和弱核等多种空间结构类型,单核结构为主要类型;③城市群的核心城市对其他城市有不同的交通辐射能力,在城市群发展过程中起到了不等的交通带动作用;④不同连通度等级的城市群在中国版图上呈现“弓型”结构,中高连通度城市群对称分布其中;⑤城市群的外部交通连通强度两极分化严重,东部地区城市群占据了城市间交通流量的近52%,西部地区城市群仅占16%。研究认为,城市群交通发展的区域差异及其内部差异较为显著,与城市群发展规划也有一定的不同,要结合实际情况做好发展培育、促进融合和优化结构等方面的规划工作,促进区域协调发展。Urban agglomeration spatial scope identification and structural feature analysis are the hot topic and the basic work of urban agglomeration research.Transportation network is not only a major driving factor for the evolution of regional system of man-land relationship,but also an important support for the spatial form of urban agglomerations.In this paper,we first took cities at the prefecture level in China as the research object,then constructed the traffic comprehensive OD matrix based on the multi-source traffic big data,and further extracted the spatial scope of the urban agglomerations through the principal component iterative decomposition algorithm.Based on the scope,we studied the structural characteristics of urban agglomerations in combination with the city connectivity and influence score.Finally,the internal connectivity and external connectivity of urban agglomerations were calculated and evaluated.The results showed that:(1)there were 21 urban agglomerations in China.(2)Urban agglomerations presented various types of spatial structures,such as single core,double core,multiple core and weak core,with single-core structure type being the main type.(3)Core cities of the urban agglomerations in different regions had different traffic radiation capacity to other cities,and played different driving roles of transportation in the development of the urban agglomerations.(4)Urban agglomerations with different connectivity levels presented a"bow"structure on the map of China,in which urban agglomerations with medium and high connectivity were symmetrically distributed.(5)The external traffic connectivity intensity of urban agglomerations was severely polarized in China.Urban agglomerations in the eastern region accounted for nearly 52%of the inter-city traffic flow,while those in the western region accounted for only 16%.This study concludes that the regional differences in traffic development,as well as the internal differences between cities inside urban agglomerations are more significant,which are also

关 键 词：城市群 交通大数据网络 范围识别 结构特征 中国 

分 类 号：U12[交通运输工程] P208[天文地球—地图制图学与地理信息工程]