Evolution and Optimization of Urban Network Spatial Structure: A Case Study of Financial Enterprise Network in Yangtze River Delta, China

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 expl...

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Main Authors: Yizhen Zhang, Tao Wang, Agus Supriyadi, Kun Zhang, Zhi Tang
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/9/10/611
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author Yizhen Zhang
Tao Wang
Agus Supriyadi
Kun Zhang
Zhi Tang
author_facet Yizhen Zhang
Tao Wang
Agus Supriyadi
Kun Zhang
Zhi Tang
author_sort Yizhen Zhang
collection DOAJ
description 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.
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spelling doaj.art-fe8ddb691f5043068776f52177512dfb2023-11-20T17:57:40ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-10-0191061110.3390/ijgi9100611Evolution and Optimization of Urban Network Spatial Structure: A Case Study of Financial Enterprise Network in Yangtze River Delta, ChinaYizhen Zhang0Tao Wang1Agus Supriyadi2Kun Zhang3Zhi Tang4School of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaCollege of Tourism, Huaqiao University, Quanzhou 362021, ChinaSchool of Urban and Regional Science, East China Normal University, Shanghai 200062, ChinaThe 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.https://www.mdpi.com/2220-9964/9/10/611urban networkspatial optimizationfinancial enterpriseGISYangtze River DeltaChina
spellingShingle Yizhen Zhang
Tao Wang
Agus Supriyadi
Kun Zhang
Zhi Tang
Evolution and Optimization of Urban Network Spatial Structure: A Case Study of Financial Enterprise Network in Yangtze River Delta, China
ISPRS International Journal of Geo-Information
urban network
spatial optimization
financial enterprise
GIS
Yangtze River Delta
China
title Evolution and Optimization of Urban Network Spatial Structure: A Case Study of Financial Enterprise Network in Yangtze River Delta, China
title_full Evolution and Optimization of Urban Network Spatial Structure: A Case Study of Financial Enterprise Network in Yangtze River Delta, China
title_fullStr Evolution and Optimization of Urban Network Spatial Structure: A Case Study of Financial Enterprise Network in Yangtze River Delta, China
title_full_unstemmed Evolution and Optimization of Urban Network Spatial Structure: A Case Study of Financial Enterprise Network in Yangtze River Delta, China
title_short Evolution and Optimization of Urban Network Spatial Structure: A Case Study of Financial Enterprise Network in Yangtze River Delta, China
title_sort evolution and optimization of urban network spatial structure a case study of financial enterprise network in yangtze river delta china
topic urban network
spatial optimization
financial enterprise
GIS
Yangtze River Delta
China
url https://www.mdpi.com/2220-9964/9/10/611
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