Abstract

On 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.

Highlights

  • Since the late 20th century, as globalization and informatization has accelerated and grown, the network society began to rise

  • Research on regional spatial structures has transformed from the central place model of rating scale to the city network model of factor relations [1,2,3]

  • The traffic flow data adopted in this paper were sourced from daily traffic flow on expressways of Jiangsu Province in 2014

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Summary

Introduction

Since the late 20th century, as globalization and informatization has accelerated and grown, the network society began to rise. Researching the spatial structures, organization models, and evolution process of inter-city connection using factor flows of different types and scales, from the network perspectives, could effectively elucidate the operating mechanism of a city. This type of research can clarify a city status within the present urban systems, which has become a frontier subject in urban geography. Obtaining factor flow data of different types and scales enriches empirical research on the spatial structures of city networks This empirical research encompasses transport and information infrastructure, enterprise organizations, and social cultural relationships.

Data Source and Processing
Community Detection
Macro-Spatial Patterns of City Networks
Hierarchical Structure of Cities
Hierarchical Structure of Spatial Linkage Frequency
Identification of City Communities Based on Network Connection
Spatial Connection Patterns of City Communities
Conclusions
Findings
Outlook
Full Text
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