An analysis of agglomeration structure for Beijing, Tianjin, and Hebei based on spatial-temporal big data

Ying Tian , Changcheng Kan , Xiangyu Li , Anrong Dang

Computational Urban Science ›› 2024, Vol. 4 ›› Issue (1) : 11

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Computational Urban Science ›› 2024, Vol. 4 ›› Issue (1) : 11 DOI: 10.1007/s43762-024-00122-4
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An analysis of agglomeration structure for Beijing, Tianjin, and Hebei based on spatial-temporal big data

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Abstract

The Beijing-Tianjin-Hebei integration plan rose to the status of a national-level strategy in 2014. This paper provides a deep analysis of the Beijing-Tianjin-Hebei area’s inter-city commuter big data. This research analyzed the overview of spatial structure, polycentric structure, hierarchical structure and clustering characteristics of the BTH based on network analysis methods. It reveals that the inter-city commuter network exhibits clear polycentric characteristics, with Beijing acting as the central hub. The degree of network correlation between cities in Tianjin and Hebei is notably low, indicating that the flow of people primarily revolves around Beijing, while interactions between other cities remain limited. Therefore, it is necessary to further decentralize Beijing's non-capital core functions. The level of connectedness among the areas surrounding the Bohai Rim is not very high, and it has not developed the coastal advantage. The cooperation could be strengthed among the cities within Bohai Rim. The polycentric structure has initially taken shape, but it exhibits obvious polarization characteristics. It is necessary to strengthen the interaction of talents between cities to form secondary central units in BTH.

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Ying Tian, Changcheng Kan, Xiangyu Li, Anrong Dang. An analysis of agglomeration structure for Beijing, Tianjin, and Hebei based on spatial-temporal big data. Computational Urban Science, 2024, 4(1): 11 DOI:10.1007/s43762-024-00122-4

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the Key Project of the National Natural Science Foundation of China,(Grant No. 52130804)

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