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

Research Article

Comprehensive Evaluation of Intensive Land Use Level in Major Cities

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345403,
        author={Wei  Cai and Xichao  Zhao and Xinxin  Zhang and Ruyi  Ke},
        title={Comprehensive Evaluation of Intensive Land Use Level in Major Cities},
        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={intensive urban land use; entropy; topsis model; coordination factor},
        doi={10.4108/eai.15-12-2023.2345403}
    }
    
  • Wei Cai
    Xichao Zhao
    Xinxin Zhang
    Ruyi Ke
    Year: 2024
    Comprehensive Evaluation of Intensive Land Use Level in Major Cities
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345403
Wei Cai1, Xichao Zhao2,*, Xinxin Zhang3, Ruyi Ke1
  • 1: East China University of Technology
  • 2: Guangxi College of Finance and Economics
  • 3: Jiangxi V&T College of Communications
*Contact email: 582881737@qq.com

Abstract

This paper takes 69 major cities with geographical features in China as the research object, and analyzes the intensive use of land in different cities, which can be divided into four types: highest level, higher level, general level, lower level and lowest level. The level of urban land intensive use and its economic development level in China can be summarized as the relationship between urban economic development level and corresponding level of its land intensive use. In this paper, the entropy conception, TOPSIS evaluation model and coordination coefficient analysis methods are used to build an evaluation model, analyze the basic level of land intensive use in major cities in China. This paper concludes the methods and models applicable to different cities with different levels of land intensive use.