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Spatial Pattern and Evolution of Urban System Based on Gravity Model and Whole Network Analysis in the Huaihe River Basin of China

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Listed:
  • Yong Fan
  • Shengdi Zhang
  • Zongyi He
  • Biao He
  • Haicong Yu
  • Xiaoxiao Ye
  • Hao Yang
  • Xiangmin Zhang
  • Zhifeng Chi

Abstract

The spatial pattern and evolution of urban system have been hot research issues in the field of urban research. In this paper, the network analysis method based on the gravity model and the related measurements were used to reveal the properties of the spatial pattern and evolution of the urban system in the HRB (Huaihe River Basin) of China. The findings of this study are as follows: During the period from 2006 to 2014, the economic contact between the HRB cities has been strengthened, but the differences between cities have been expanding. In general, the HRB cities have not yet formed a close network structure, and a trend of economic integration has not been found. This paper expresses the spatial pattern and evolution of urban system in an intuitive way and helps to explain the evolution mechanism of urban system. The method was confirmed by empirical research. Because of the operational and visual expression, this method has broad application prospects in the urban system research.

Suggested Citation

  • Yong Fan & Shengdi Zhang & Zongyi He & Biao He & Haicong Yu & Xiaoxiao Ye & Hao Yang & Xiangmin Zhang & Zhifeng Chi, 2018. "Spatial Pattern and Evolution of Urban System Based on Gravity Model and Whole Network Analysis in the Huaihe River Basin of China," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-11, June.
  • Handle: RePEc:hin:jnddns:3698071
    DOI: 10.1155/2018/3698071
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    Cited by:

    1. Nir Kaplan & Itzhak Omer, 2022. "Multiscale Accessibility—A New Perspective of Space Structuration," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    2. Guojie Ma & Jinxing Hu & Riquan Zhang, 2023. "Spatial-Temporal Distribution and Coupling Relationship of High-Speed Railway and Economic Networks in Metropolitan Areas of China," Land, MDPI, vol. 12(6), pages 1-23, June.

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