An analysis of agglomeration structure for Beijing, Tianjin, and Hebei based on spatial-temporal big data
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, hierarch...
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Format: | Article |
Language: | English |
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Springer
2024-04-01
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Series: | Computational Urban Science |
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Online Access: | https://doi.org/10.1007/s43762-024-00122-4 |
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author | Ying Tian Changcheng Kan Xiangyu Li Anrong Dang |
author_facet | Ying Tian Changcheng Kan Xiangyu Li Anrong Dang |
author_sort | Ying Tian |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-24T07:19:06Z |
format | Article |
id | doaj.art-fc9c4357659e4c53a4fcf0d9f739db30 |
institution | Directory Open Access Journal |
issn | 2730-6852 |
language | English |
last_indexed | 2024-04-24T07:19:06Z |
publishDate | 2024-04-01 |
publisher | Springer |
record_format | Article |
series | Computational Urban Science |
spelling | doaj.art-fc9c4357659e4c53a4fcf0d9f739db302024-04-21T11:12:09ZengSpringerComputational Urban Science2730-68522024-04-014111610.1007/s43762-024-00122-4An analysis of agglomeration structure for Beijing, Tianjin, and Hebei based on spatial-temporal big dataYing Tian0Changcheng Kan1Xiangyu Li2Anrong Dang3School of Architecture, Tsinghua UniversityBaidu.com Times Technology (Beijing)Co. LtdSchool of Architecture, Tsinghua UniversitySchool of Architecture, Tsinghua UniversityAbstract 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.https://doi.org/10.1007/s43762-024-00122-4Beijing-Tianjin-Hebei agglomerationInter-city commuteNetworkUrban agglomeration structureMulti-center pattern |
spellingShingle | 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 Beijing-Tianjin-Hebei agglomeration Inter-city commute Network Urban agglomeration structure Multi-center pattern |
title | An analysis of agglomeration structure for Beijing, Tianjin, and Hebei based on spatial-temporal big data |
title_full | An analysis of agglomeration structure for Beijing, Tianjin, and Hebei based on spatial-temporal big data |
title_fullStr | An analysis of agglomeration structure for Beijing, Tianjin, and Hebei based on spatial-temporal big data |
title_full_unstemmed | An analysis of agglomeration structure for Beijing, Tianjin, and Hebei based on spatial-temporal big data |
title_short | An analysis of agglomeration structure for Beijing, Tianjin, and Hebei based on spatial-temporal big data |
title_sort | analysis of agglomeration structure for beijing tianjin and hebei based on spatial temporal big data |
topic | Beijing-Tianjin-Hebei agglomeration Inter-city commute Network Urban agglomeration structure Multi-center pattern |
url | https://doi.org/10.1007/s43762-024-00122-4 |
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