Abstract

The urban network is an important method of spatial optimization, and measuring the development level of the urban network is a prerequisite for spatial optimization. Combining geographic information system (GIS) spatial analysis, social network analysis, and multidimensional scaling models, we explored the evolution of the urban network spatial structure in the Yangtze River Delta from 1990 to 2017 and proposed corresponding optimization measures. The results showed that the urban network spatial structure of the Yangtze River Delta has evolved from a single-center cluster with Shanghai as its core to a multi-center network with Shanghai as its core and Nanjing, Hangzhou, and Hefei as secondary cores. The density of the urban network has gradually expanded, but the strength of the connection between edge cities such as Chizhou, Suqian, and Quzhou and the core cities needs to be further improved. We found that the evolution of the urban network spatial structure has been driven by preferential attachment, path dependence, and differences in economic and industrial development. Finally, we propose optimizing the urban network spatial structure by strengthening the driving ability of the core cities, clarifying urban functions and development directions, and establishing a unified coordination mechanism. This paper enriches and deepens our understanding of the characteristics of the city network in the Yangtze River Delta, and provides a reference for the optimization of the urban network spatial structure.

Highlights

  • Since the 1970s, production segmentation, multinational corporations, outsourcing, and innovations in information technology have promoted the evolution of the spatial structure and development of urban networks [1,2]

  • The development of urban networks reflects the evolution of the spatial structure to a certain extent, and measuring the level of urban network development is a prerequisite for spatial optimization

  • The urban network is an important method of spatial optimization, and measuring the development level of the urban network is a prerequisite for spatial optimization [24]

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Summary

Introduction

Since the 1970s, production segmentation, multinational corporations, outsourcing, and innovations in information technology have promoted the evolution of the spatial structure and development of urban networks [1,2]. Similar to some countries in North America and Europe, a series of policies to promote regional integration and spatial network development such as the Yangtze River Delta Integration and Guangdong–Hong Kong–Macao Greater Bay Area have been implemented in China [12,13,14]. These phenomena reflect the importance of strengthening urban network construction as a channel for spatial optimization and high-quality urban development.

Research Background
Study Area
Data Sources and Network Construction
Interlocking Network Model
Degree Centrality
Network Density
Modularity
Multidimensional Scaling
Quadratic Assignment Procedure
Spatial Connection Identification
Community Division of Urban Network Spatial Structure
Evolution Mode of the Urban Network Spatial Structure
Single-Center Agglomeration Mode
Point-Axis Diffusion Mode
Core-Periphery Mode
Multi-Center Network Mode
Index Selection and Relationship Regression Model Construction
Potential Determinants of Urban Networks
Urban Network Spatial Structure Optimization Measures
Findings
Conclusions
Full Text
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