Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

Study on the Evolution of the Spatial and Temporal Patterns of the Three Livelihoods in Qinghai Province and Their Driving Mechanisms

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345383,
        author={Wenyi  Guo and Haifeng  Zhang and Yalong  Zhang and Yanyan  Cao},
        title={Study on the Evolution of the Spatial and Temporal Patterns of the Three Livelihoods in Qinghai Province and Their Driving Mechanisms},
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={three living spaces; spatial and temporal evolution; driving mechanism; qinghai province},
        doi={10.4108/eai.15-12-2023.2345383}
    }
    
  • Wenyi Guo
    Haifeng Zhang
    Yalong Zhang
    Yanyan Cao
    Year: 2024
    Study on the Evolution of the Spatial and Temporal Patterns of the Three Livelihoods in Qinghai Province and Their Driving Mechanisms
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345383
Wenyi Guo1, Haifeng Zhang1,*, Yalong Zhang1, Yanyan Cao1
  • 1: Qinghai Normal University
*Contact email: haifzhang@126.com

Abstract

Under the background of sustainable development and utilization of national land space, scientific cognition of the relationship between the quantitative increase and decrease of the "three living things" space and the evolution of the pattern under the long time series of the region is a prerequisite for realizing the coordination between socio-economic development and ecological protection. In this paper, the quantitative changes, spatial pattern evolution and driving mechanism of the "three living things" space in Qinghai Province from 1980 to 2020 are studied by using the land-use dynamics, land-use transfer matrix, and the traceability analysis based on land-use transfer flow.