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Uncovering Spatial Structures of Regional City Networks from Expressway Traffic Flow Data: A Case Study from Jiangsu Province, China
Ke, Wenqian1,2; Chen, Wei3,4; Yu, Zhaoyuan5,6
2017-09-01
Source PublicationSUSTAINABILITY
ISSN2071-1050
Volume9Issue:9Pages:16
Corresponding AuthorChen, Wei(geochw@163.com)
AbstractOn the basis of the "space of flows" theory, city networks emphasizing factor connectivity and spatial connection have become a core perspective for regional spatial relationships. They provide a context for discussing the spatial structures of city networks and a scientific basis for making regional development policies. Relying on expressway traffic flow data from Jiangsu Province in 2014, this study describes macro-spatial patterns and hierarchical structures of city networks, and uses the Walktrap algorithm of community detection to execute space divisions and elucidate potential spatial connection structures in the city networks. In comparison with other algorithms, the Walktrap algorithm demonstrates significant adaptation and stability to the short expressway traffic flows with the characteristics of strong network density and sparse node distribution. The results indicate that the macro-spatial patterns of Jiangsu's city networks have clear regional differences. The cities with relatively dense spatial linkages are distributed along the Yangtze River banks, and many different sub-network systems have also developed internally. Cities and linkage axles have clear hierarchical structures. City hierarchies have certain spatial couplings with the cities' intrinsic social economic attributes and geographical locations. The linkage axles hierarchy has clear spatial interactions and superposition with geographical distance. The community detection algorithm identified six spatially connected "city communities", the Suzhou-Wuxi-Changzhou Community (SWCC), the Nanjing-Zhenjiang-Yangzhou-Taizhou Community (NZYTC), the Nantong-Yancheng Community (NYC), the Lianyungang Community (LYGC), the Huai'an-Suqian Community (HSC), and the Xuzhou Community (XZC). The community spatial metaphors had four aspects. First, trans-prefectural linkages were formed through spatially integrated effects of metropolis regions. Second, some communities share the same boundaries with their prefecture level administrative units; this reveals that significant administrative regional economies still exist in contemporary Jiangsu. Third, several cities located in the marginal areas of prefectures and captured by the powerful center cities in neighboring prefectures have been absorbed into the communities of neighboring prefectures. Fourth, the two cities Jiangyin and Jingjiang, divided into different administrative districts, have switched status opposite city community divisions.
Keywordcity network regional division traffic flow community detection Jiangsu Province China
DOI10.3390/su9091541
WOS KeywordCOMMUNITY STRUCTURE ; COMPLEX NETWORKS ; URBAN SYSTEM ; GLOBALIZATION ; INFORMATION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41601165] ; National Natural Science Foundation of China[41430635] ; National Natural Science Foundation of China[41571379] ; National Natural Science Foundation of Fujian Province, China[2016J05093] ; China Postdoctoral Science Foundation[2016M590588]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of Fujian Province, China ; China Postdoctoral Science Foundation
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences ; Environmental Studies
WOS IDWOS:000411621200048
PublisherMDPI AG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/62051
Collection中国科学院地理科学与资源研究所
Corresponding AuthorChen, Wei
Affiliation1.Fujian Normal Univ, Inst Geog, Fuzhou 350007, Fujian, Peoples R China
2.Fujian Normal Univ, Minist Educ, Key Lab Humid Subtrop Ecogeog Proc, Fuzhou 350007, Fujian, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Sch Resources & Environm, Beijing 100049, Peoples R China
5.Nanjing Normal Univ, Coll Geog Sci, Nanjing 210023, Jiangsu, Peoples R China
6.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Ke, Wenqian,Chen, Wei,Yu, Zhaoyuan. Uncovering Spatial Structures of Regional City Networks from Expressway Traffic Flow Data: A Case Study from Jiangsu Province, China[J]. SUSTAINABILITY,2017,9(9):16.
APA Ke, Wenqian,Chen, Wei,&Yu, Zhaoyuan.(2017).Uncovering Spatial Structures of Regional City Networks from Expressway Traffic Flow Data: A Case Study from Jiangsu Province, China.SUSTAINABILITY,9(9),16.
MLA Ke, Wenqian,et al."Uncovering Spatial Structures of Regional City Networks from Expressway Traffic Flow Data: A Case Study from Jiangsu Province, China".SUSTAINABILITY 9.9(2017):16.
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