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Analysis on the imbalance of population flow network during the Spring Festival travel rush in China in 2015

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  • Yanpeng Gao
  • Xiaofei Xu
  • Ye Wei

Abstract

This paper analyzes the imbalance of interprovincial population flow during the Spring Festival travel rush in China, using big data obtained through Baidu Migration, in terms of population flow during the festival and the normalized unbalanced coefficients of edge and node method for analysis, from which the following findings emerge: (1). The imbalance in population flow network during the Spring Festival travel rush is significant, with unbalanced coefficients and relevant frequencies of the population flow network in the Eastern and Western Regions being significantly higher than in other regions. The unbalanced coefficients in the Central Region are lower, followed by corresponding frequencies, while the unbalanced coefficients in the Northeast Region are evenly distributed with the lowest frequencies. The population flow toward the West and Northwest are relatively concentrated, while the population flow toward the South and Southwest are relatively scattered. (2). The regional imbalance during the Spring Festival travel rush has characteristics of spatial agglomeration, where a strongly-connected Southeast Subsystem and a weakly-connected Western Subsystem are formed; there is a significant leverage effect in Guangdong Province, which greatly affects the regional imbalance. Three characteristics emerge in the distribution of regional population flow—the outflow, inflow, and outflow along the Eastern, Central and Western strips/lines, respectively. The paper emphasizes the importance of researching imbalance issues, clarifies the difference between the imbalance of the population flow network and the imbalance involved in previous population research fields, and discusses the Spring Festival Effect in terms of population flow and deficiencies in research.

Suggested Citation

  • Yanpeng Gao & Xiaofei Xu & Ye Wei, 2021. "Analysis on the imbalance of population flow network during the Spring Festival travel rush in China in 2015," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-17, April.
  • Handle: RePEc:plo:pone00:0249520
    DOI: 10.1371/journal.pone.0249520
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    References listed on IDEAS

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    1. Lessmann, Christian, 2014. "Spatial inequality and development — Is there an inverted-U relationship?," Journal of Development Economics, Elsevier, vol. 106(C), pages 35-51.
    2. Zai Liang & Zhongdong Ma, 2004. "China's Floating Population: New Evidence from the 2000 Census," Population and Development Review, The Population Council, Inc., vol. 30(3), pages 467-488, September.
    3. Jun Yang & Andong Guo & Xueming Li & Tai Huang, 2018. "Study of the Impact of a High-Speed Railway Opening on China’s Accessibility Pattern and Spatial Equality," Sustainability, MDPI, vol. 10(8), pages 1-13, August.
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    Cited by:

    1. Dian Shao & Weiting Xiong, 2022. "Does High Spatial Density Imply High Population Density? Spatial Mechanism of Population Density Distribution Based on Population–Space Imbalance," Sustainability, MDPI, vol. 14(10), pages 1-22, May.

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