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A Multi-Attribute Approach for Low-Carbon and Intensive Land Use of Jinan, China

Author

Listed:
  • Qingling Yu

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Jing Li

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Xinhai Lu

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Liyu Wang

    (Jinan City Planning and Design Institute, Jinan 250013, China)

Abstract

This paper establishes an evaluation system based on the low-carbon intensive land use in Jinan city from 2010 to 2017 and uses a multi-attribute approach named grey fuzzy integral to build the evaluation model. In this model, based on the Mobius transformation coefficient of subjective and objective weights of index factors and the interaction degree between index factors, 2-additive fuzzy measures can be obtained; therefore, evaluation of low-carbon and intensive land use in Jinan city is processed by combining the grey correlation degree and Choquet fuzzy integral. The results show that in the study period, land input intensity, land use degree, land output benefit and land sustainability in Jinan city all show a good upward trend, but the low-carbon land use level of has been in a declining state. Although there is a good development trend of low-carbon and intensive land use in Jinan, the state is not stable. A Low-carbon and intensive land use pattern will not be achieved completely overnight, and it is bound to be a dynamic game process.

Suggested Citation

  • Qingling Yu & Jing Li & Xinhai Lu & Liyu Wang, 2023. "A Multi-Attribute Approach for Low-Carbon and Intensive Land Use of Jinan, China," Land, MDPI, vol. 12(6), pages 1-22, June.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:6:p:1197-:d:1166442
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    References listed on IDEAS

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    1. Lei, Jiaojiao & Liu, Xuelu & Wang, Lina & Li, Xiaodan & Ma, Jin & Zhang, Lide & Yang, Haiyu, 2026. "Study on the relationship between intensive land use and ecosystem service value in Gansu Province," Ecological Modelling, Elsevier, vol. 511(C).

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