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Social Sensing of the Imbalance of Urban and Regional Development in China Through the Population Migration Network around Spring Festival

Author

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  • Ruoxin Zhu

    (Chair of Cartography, Technical University of Munich, 80333 Munich, Germany)

  • Diao Lin

    (Chair of Cartography, Technical University of Munich, 80333 Munich, Germany)

  • Yujing Wang

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
    Key laboratory of Geographic Information Systems, Ministry of Education, Wuhan University, Wuhan 430079, China)

  • Michael Jendryke

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China)

  • Rui Xin

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Jian Yang

    (School of Geospatial Information, Information Engineering University, Zhengzhou 450052, China)

  • Jianzhong Guo

    (College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Liqiu Meng

    (Chair of Cartography, Technical University of Munich, 80333 Munich, Germany)

Abstract

Regional development differences are a universal problem in the economic development process of countries around the world. In recent decades, China has experienced rapid urban development since the implementation of the reform and opening-up policy. However, development differs across regions, triggering the migration of laborers from underdeveloped areas to developed areas. The interaction between regional development differences and Spring Festival has formed the world’s largest cyclical migration phenomenon, Spring Festival travel. Studying the migration pattern from public spatiotemporal behavior can contribute to understanding the differences in regional development. This paper proposes a geospatial network analytical framework to quantitatively characterize the imbalance of urban/regional development based on Spring Festival travel from the perspectives of complex network science and geospatial science. Firstly, the urban development difference is explored based on the intercity population flow difference ratio, PageRank algorithm, and attractiveness index. Secondly, the community detection method and rich-club coefficient are applied to further observe the spatial interactions between cities. Finally, the regional importance index and attractiveness index are used to reveal the regional development imbalance. The methods and findings can be used for urban planning, poverty alleviation, and population studies.

Suggested Citation

  • Ruoxin Zhu & Diao Lin & Yujing Wang & Michael Jendryke & Rui Xin & Jian Yang & Jianzhong Guo & Liqiu Meng, 2020. "Social Sensing of the Imbalance of Urban and Regional Development in China Through the Population Migration Network around Spring Festival," Sustainability, MDPI, vol. 12(8), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:8:p:3457-:d:349582
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    References listed on IDEAS

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    1. Zhishan Ma & Susu Zhang & Sidong Zhao, 2021. "Study on the Spatial Pattern of Migration Population in Egypt and Its Flow Field Characteristics from the Perspective of “Source-Flow-Sink”," Sustainability, MDPI, vol. 13(1), pages 1-27, January.
    2. Chia-Li Lin, 2022. "Evaluating the urban sustainable development strategies and common suited paths considering various stakeholders," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 14033-14073, December.

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