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Measuring directional urban spatial interaction in China: A migration perspective

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  • Fangzhou Li
  • Zhiming Feng
  • Peng Li
  • Zhen You

Abstract

The study of urban spatial interaction is closely linked to that of economic geography, urban planning, regional development, and so on. Currently, this topic is generating a great deal of interest among researchers who are striving to find accurate ways to measure urban spatial interaction. Classical spatial interaction models lack theoretical guidance and require complicated parameter-adjusting processes. The radiation model, however, as proposed by Simini et al. with rigorous formula derivation, can simulate directional urban spatial interaction. We applied the radiation model in China to simulate the directional migration number among 337 nationwide research units, comprising 4 municipalities and 333 prefecture-level cities. We then analyzed the overall situation in Chinese cities, the interaction intensity hierarchy, and the prime urban agglomerations from the perspective of migration. This was done to ascertain China’s urban spatial interaction and regional development from 2000 to 2010 to reveal ground realities.

Suggested Citation

  • Fangzhou Li & Zhiming Feng & Peng Li & Zhen You, 2017. "Measuring directional urban spatial interaction in China: A migration perspective," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-19, January.
    • Handle: RePEc:plo:pone00:0171107
    DOI: 10.1371/journal.pone.0171107
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    Cited by:

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    2. Xia, Chang & Zhang, Anqi & Wang, Haijun & Zhang, Boen & Zhang, Yan, 2019. "Bidirectional urban flows in rapidly urbanizing metropolitan areas and their macro and micro impacts on urban growth: A case study of the Yangtze River middle reaches megalopolis, China," Land Use Policy, Elsevier, vol. 82(C), pages 158-168.
    3. Xubei Luo & Nong Zhu, 2022. "Migration, Agglomeration and Attractiveness of Cities in China," Working Papers hal-03606056, HAL.
    4. Kalandi Charan Pradhan & K. Narayanan, 2019. "Intensity of labour migration and its determinants: insights from Indian semi-arid villages," Asia-Pacific Journal of Regional Science, Springer, vol. 3(3), pages 955-994, October.
    5. Mengyao Ren & Yaoyu Lin & Meihan Jin & Zhongyuan Duan & Yongxi Gong & Yu Liu, 2020. "Examining the effect of land-use function complementarity on intra-urban spatial interactions using metro smart card records," Transportation, Springer, vol. 47(4), pages 1607-1629, August.
    6. Zhen You & Zhiming Feng & Yalin Lei & Yanzhao Yang & Fangzhou Li, 2017. "Regional Features and National Differences in Population Distribution in China’s Border Regions (2000–2015)," Sustainability, MDPI, vol. 9(3), pages 1-14, February.

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