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<p>The development of human settlements (HS) in coastal cities is an integral component and a vital pathway toward building a strong marine power. It is also an essential requirement for achieving the coordinated development of HS systems in these cities. In this study, we constructed an indicator system to analyze the coupling coordination degree (CCD) of HS systems in coastal cities in the Bohai Rim region of China (CCBRR). This study is based on five systems and employs methods such as the entropy weight method, CCD model, spatial trend surface analysis, and geographic detector to examine comprehensively the spatial and temporal patterns of CCD in 17 CCBRR during the period 2011–2022, as well as to explore their influencing factors. The findings are as follows: (1) Temporally, the CCD is high and exhibits a slow increasing trend, with distinct stage characteristics. (2) Spatially, the distribution of CCD reveals a “one core, many strengths” structural pattern. (3) Moreover, socioeconomic factors are the dominant force driving the CCD of the internal HS systems in the CCBRR. (4) Finally, we constructed a coupling coordination driving mechanism for HS in the CCBRR with the aim of providing scientific references and path choices for the high-quality and coordinated development of the CCBRR along with the implementation of the new quality productive forces regionalization.</p>

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Spatio-temporal pattern and driving mechanism of the coupling coordination of human settlements systems

  • 期刊论文

  • 发表日期：

    2026年3月18日

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  • Xueming Li,
  • Meishuo Du,
  • Linlin Feng,
  • Shenzhen Tian,
  • Jun Yang

摘要

The development of human settlements (HS) in coastal cities is an integral component and a vital pathway toward building a strong marine power. It is also an essential requirement for achieving the coordinated development of HS systems in these cities. In this study, we constructed an indicator system to analyze the coupling coordination degree (CCD) of HS systems in coastal cities in the Bohai Rim region of China (CCBRR). This study is based on five systems and employs methods such as the entropy weight method, CCD model, spatial trend surface analysis, and geographic detector to examine comprehensively the spatial and temporal patterns of CCD in 17 CCBRR during the period 2011–2022, as well as to explore their influencing factors. The findings are as follows: (1) Temporally, the CCD is high and exhibits a slow increasing trend, with distinct stage characteristics. (2) Spatially, the distribution of CCD reveals a “one core, many strengths” structural pattern. (3) Moreover, socioeconomic factors are the dominant force driving the CCD of the internal HS systems in the CCBRR. (4) Finally, we constructed a coupling coordination driving mechanism for HS in the CCBRR with the aim of providing scientific references and path choices for the high-quality and coordinated development of the CCBRR along with the implementation of the new quality productive forces regionalization.