Research on the City Network Structure in the Yellow River Basin in China Based on Two-Way Time Distance Gravity Model and Social Network Analysis Method Article Swipe
Duo Chai
,
Dong Zhang
,
Yonghao Sun
,
Shan Yang
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1155/2020/6680954
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1155/2020/6680954
Modern cities form city networks through complex social ties. City network research is widely applied to guide regional planning, infrastructure construction, and resource allocation. China put forward the Yellow River Basin Development Strategy in 2019, but no research has been conducted on regional social connections among cities. Based on the gravity model modified by two-way “time distance” between cities, this is the first study to empirically examine the intensity and structure of the entire city network in the Yellow River basin using the social network analysis method and ArcGIS software. The connection rules of the cross-city transfer of city officials in the basin are also investigated to illustrate the official ties between cities. The results suggest that the intensity of two-way connections between cities is generally low in the Yellow River basin and there is a positive correlation between city network development level and regional economic development level. The development gap between cities on the north and south banks is larger than that between the east and west regions, and some cities in the middle and upper reaches of the river are marginalized in the network. The status of the central cities in the Yellow River basin is distinct, but their connecting and leading abilities are not strong, showing an inverted T-shaped spatial distribution. The subgroups of city networks have strong internal connections, while the connection among subgroups is weak and the development shows a partitioned and fragmented pattern, making it difficult to form linkages among the upper, middle, and lower reaches. The “beaded chain” spatial development strategy can be adopted in the river basin planning, giving priority to strengthening the links within subgroups of cities and among adjacent subgroups, building central city chains, and reinforcing the overall basin management.
Related Topics
Concepts
China
Structural basin
Geography
Resource (disambiguation)
Social network analysis
Drainage basin
Social network (sociolinguistics)
Gravity model of trade
Economic geography
Regional science
Network structure
Connection (principal bundle)
Business
Computer science
Geology
Cartography
Social media
Paleontology
Machine learning
Structural engineering
Engineering
Computer network
Archaeology
International trade
World Wide Web
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2020/6680954
- https://downloads.hindawi.com/journals/complexity/2020/6680954.pdf
- OA Status
- gold
- Cited By
- 17
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3117559611
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3117559611Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2020/6680954Digital Object Identifier
- Title
-
Research on the City Network Structure in the Yellow River Basin in China Based on Two-Way Time Distance Gravity Model and Social Network Analysis MethodWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-12-22Full publication date if available
- Authors
-
Duo Chai, Dong Zhang, Yonghao Sun, Shan YangList of authors in order
- Landing page
-
https://doi.org/10.1155/2020/6680954Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/complexity/2020/6680954.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://downloads.hindawi.com/journals/complexity/2020/6680954.pdfDirect OA link when available
- Concepts
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China, Structural basin, Geography, Resource (disambiguation), Social network analysis, Drainage basin, Social network (sociolinguistics), Gravity model of trade, Economic geography, Regional science, Network structure, Connection (principal bundle), Business, Computer science, Geology, Cartography, Social media, Paleontology, Machine learning, Structural engineering, Engineering, Computer network, Archaeology, International trade, World Wide WebTop concepts (fields/topics) attached by OpenAlex
- Cited by
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17Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 2, 2023: 8, 2022: 3, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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