Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China

Research Article

The Spatiotemporal Coupling Coordination Model Between Socioeconomic Activity and Eco-environment and Climate Factors: Case Study of Guangdong-Hong Kong-Macao Greater Bay Area, China

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  • @INPROCEEDINGS{10.4108/eai.8-12-2023.2344786,
        author={Yun  Tang and Yuanyuan  Wang},
        title={The Spatiotemporal Coupling Coordination Model Between Socioeconomic Activity and Eco-environment and Climate Factors: Case Study of Guangdong-Hong Kong-Macao Greater Bay Area, China},
        proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2024},
        month={4},
        keywords={urbanization development; coupling coordination degree; eco-environment; climate change},
        doi={10.4108/eai.8-12-2023.2344786}
    }
    
  • Yun Tang
    Yuanyuan Wang
    Year: 2024
    The Spatiotemporal Coupling Coordination Model Between Socioeconomic Activity and Eco-environment and Climate Factors: Case Study of Guangdong-Hong Kong-Macao Greater Bay Area, China
    MSIEID
    EAI
    DOI: 10.4108/eai.8-12-2023.2344786
Yun Tang1,*, Yuanyuan Wang2
  • 1: Huainan Normal University
  • 2: Design and Research Co, LTD
*Contact email: tangyun23@whu.edu.cn

Abstract

Urbanization demands high-quality coordinated development of human-earth relationship. Although a large number of studies have explored the long-term and large-scale coupling effects of urbanization and eco-environment, there is a lack of fine-scale research. Therefore, this paper constructs a coupling coordination model in urban agglomeration based on multi-source remote sensing images, aiming to explore the relationship between climate factors, human activity and vegetation changes of Guangdong-Hong Kong-Macao Greater Bay Area during the period of 2001 to 2018. The results show that the coupling coordination degree in the urban core area showed a slight downward trend, while the high-intensity human activity areas around the urban core area showed an upward trend. The climate factors, human activity and vegetation changes of the urban agglomerations have not reached a highly coordinated coupling stage and high quality coordination. The annual analysis and assessment realize monitoring and comparative analysis of the coordinated development degree of human-earth relationship in urban agglomerations, and provide theoretical support for urban agglomeration development planning.