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基于高速公路流的区域城市网络空间组织模式——以江苏省为例 被引量:31

Uncovering spatial organization patterns of regional city networks from expressway traffic flow data: A case study of Jiangsu province, China
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摘要 在"流空间"理论的影响下,强调要素连接性和空间关联性的城市网络成为指示区域空间关系的核心视角,探讨城市网络空间结构将能为区域发展政策制定提供科学依据。以江苏省2014年日平均的高速公路流数据为依托,刻画城市网络的宏观格局与层级特征,利用社区发现算法对城市网络进行空间剖分并挖掘潜在的关联结构。研究发现:(1)江苏城市网络宏观格局的空间构造呈现出类似围棋的"金角、银边、草肚皮"的分散性特征,可大致辨别内部发育出多个不同的子网络系统;(2)城市节点和联系轴线具有明显的层级结构,城市等级的重要性与节点本身的社会经济属性、地理区位等具有一定的空间耦合性,轴线层级与地理距离具有明显的空间交互叠加作用;(3)社区发现算法对网络的空间剖分共识别出包括苏锡常社区、宁镇扬泰社区、通盐社区、连云港社区、宿淮社区和徐州社区等6个在空间上相连且边界清晰的"城市社区",具有一体化效应、邻域效应、行政区效应、袭夺效应和置换效应等五个具有典型性的区域效应;(4)依据社区间的空间交互作用,可凝练出双核—多核交叉型、双核—单核交叉型、单核—多核交叉型、单核—单核集中型、双核—多点分岔型、单核—多点分散型和多核—多点分散型等7类空间关联结构。 Under the influence of the "space of flows" theory, city network with the emphasis on element connectivity and spatial relevancy has become the core perspective to indicate the regional spatial interaction. This means that researchers focus more on spatial structures of city networks, which can provide scientific basis for the policy making on regional development.Based on the average daily variation expressway traffic flow data in 2014, this article depicts the macro-patterns of city networks and its hierarchical structures, and then uses the community detection algorithm to segment the city networks and mining its potential spatial correlation structures. The results show that:(1) The characteristics of macro-patterns of city networks are dispersive, which are similar to the "gold corner, silver edge, grass belly" in Go Game, and this means that there are several sub-network systems developed in Jiangsu province.(2) The city nodes and linkage axes have presented the obvious hierarchical structures. On the one hand, the importance of the city ranks has a spatial coupling with their socioeconomic attributes and geographical locations to certain extent; On the other hand, the hierarchical characteristics of the linkage axes have obvious spatial interaction with the geographical distance.(3) Using the community detection algorithm to mining the city network in Jiangsu, six "city communities" with spatial connection and clear boundaries are identified.The communities include the Suzhou-Wuxi-Changzhou community, Nanjing-ZhenjiangYangzhou-Taizhou community, Nantong-Yancheng community, Lianyungang community,Suqian-Huai'an community and Xuzhou community. The spatial metaphors of the communities can be concluded in the five aspects. Firstly, trans-prefectural linkages can be formed through spatial integrated effects of metropolis regions. Secondly, cities are located in the marginal neighborhood areas in different communities and have a close connectivity, which enable themselves to be absorbe
作者 柯文前 陈伟 杨青 KE Wenqian;CHEN Wei;YANG Qing(Institute of Geography,Fujian Normal University,Fuzhou 350007,China;Key Laboratory of Humid Subtropical Eco-geographical Process,Fujian Normal University,Ministry of Education,Fuzhou 350007,China;Key Laboratory of Regional Sustainable Development Modeling,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China;College of Geography Science,Nanjing Normal University,Nanjing 210023,China)
出处 《地理研究》 CSSCI CSCD 北大核心 2018年第9期1832-1847,共16页 Geographical Research
基金 国家自然科学基金项目(41601165 41430635 41571379) 中国博士后科学基金资助项目(2016M590588) 福建省自然科学基金项目(2016J05093)
关键词 城市网络 区域划分 交通流 社区发现 江苏省 city network regional division traffic flow community detection Jiangsu province
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