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How to Measure Urban Land Use Intensity? A Perspective of Multi-Objective Decision in Wuhan Urban Agglomeration, China

Author

Listed:
  • Jun Yang

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China)

  • Gui Jin

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China
    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Xianjin Huang

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China)

  • Kun Chen

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China)

  • Hao Meng

    (School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China)

Abstract

Urban land intensive use is an important part of regional planning and plays an important role in the sustainable development of cities. However, the research on how to measure urban land use intensity is still controversial. This paper gives a perspective of multi-objective decision to explore the criterion of urban land use intensity in the process of urbanization. The theory of factor substitution was applied to analyze the mechanism of urban land intensive use in different urbanization stage. Additionally, the matching degree model (MDM), curve estimation model, and multi-objective programming model were employed in the case study of Wuhan urban agglomeration to give a multi-objective decision on urban land intensive use. The results show that the level of urban land intensive use lagging behind the level of urbanization development in more than 60% of the counties. When the level of urbanization is less than 30%, 30–70% and greater than 70%, the optimal intensity of urban land use characterized by fixed investments of unit land is 2.6252, 4.6132, and 6.7648 million RMB respectively. Based on optimal intensity, the counties in Wuhan urban agglomeration were divided into key development zone and optimized development zone. Finally, different management strategies were designed for different zones for urban land intensive use.

Suggested Citation

  • Jun Yang & Gui Jin & Xianjin Huang & Kun Chen & Hao Meng, 2018. "How to Measure Urban Land Use Intensity? A Perspective of Multi-Objective Decision in Wuhan Urban Agglomeration, China," Sustainability, MDPI, vol. 10(11), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:3874-:d:178159
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    References listed on IDEAS

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    Cited by:

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    2. Qian Qian & Haiyan Liu & Xinqi Zheng, 2019. "A Regional Sustainable Intensive Land Use Evaluation Based on Ecological Constraints: A Case Study in Jinan City," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
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    4. Qiaowen Lin & Lu Zhang & Bingkui Qiu & Yi Zhao & Chao Wei, 2021. "Spatiotemporal Analysis of Land Use Patterns on Carbon Emissions in China," Land, MDPI, vol. 10(2), pages 1-13, February.
    5. Huxiao Zhu & Xiangjun Ou & Zhen Yang & Yiwen Yang & Hongxin Ren & Le Tang, 2022. "Spatiotemporal Dynamics and Driving Forces of Land Urbanization in the Yangtze River Delta Urban Agglomeration," Land, MDPI, vol. 11(8), pages 1-21, August.
    6. Jingyi Wang & Kaisi Sun & Jiupai Ni & Deti Xie, 2020. "Evaluation and Factor Analysis of the Intensive Use of Urban Land Based on Technical Efficiency Measurement—A Case Study of 38 Districts and Counties in Chongqing, China," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    7. Li, Lei & Ma, Shaojun & Zheng, Yilin & Xiao, Xinyue, 2022. "Integrated regional development: Comparison of urban agglomeration policies in China," Land Use Policy, Elsevier, vol. 114(C).
    8. Siqi Yi & Yong Zhou & Qing Li, 2022. "A New Perspective for Urban Development Boundary Delineation Based on the MCR Model and CA-Markov Model," Land, MDPI, vol. 11(3), pages 1-16, March.

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