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Land Spatial Development Based on Carrying Capacity, Land Development Potential, and Efficiency of Urban Agglomerations in China

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  • Zhenbo Wang

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

The Chinese government is undergoing a major reform. The current core task of new Ministry of Natural Resources (MNR) is to establish a national territorial spatial planning system (NTSPS). Urban agglomeration has become a main body in NTSPS. China’s new urbanization strategy identified 19 key development areas of urban agglomerations (UA), but the land development path is not clear. Due to the lack of research on the land development intensity evaluation (LDIE) of urban agglomerations, this study applied a GIS-based, multi-criteria method for LDIE to the Shandong Peninsular urban agglomeration (SPUA). Evaluation indices were determined for three factors (development intensity, supporting capacity, and utilization efficiency) that comprise the discriminant model of the three-dimensional matrix method, which was used to establish the method for this topic and demonstrate the accuracy of the land spatial development intensity. This empirical study on the SPUA indicated that, overall, the average indices for development intensity, supporting capacity, and utilization efficiency in the study area are 0.40, 0.34, and 0.55, respectively. Using the three-dimensional matrix discrimination model, three zones of development intensity were identified: key, stable, and restricted development zones. The threshold values for construction land growth in the eight cities of the SPUA were obtained. The findings provide a theoretical reference and guide for the practical application of LDIE as well as a scientific basis for sustainable land development and utilization.

Suggested Citation

  • Zhenbo Wang, 2018. "Land Spatial Development Based on Carrying Capacity, Land Development Potential, and Efficiency of Urban Agglomerations in China," Sustainability, MDPI, vol. 10(12), pages 1-15, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4701-:d:189444
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    References listed on IDEAS

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    Cited by:

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    2. Zhipeng Yang & Shijun Wang & Meng Guo & Junfeng Tian & Yingjie Zhang, 2021. "Spatiotemporal Differentiation of Territorial Space Development Intensity and Its Habitat Quality Response in Northeast China," Land, MDPI, vol. 10(6), pages 1-20, May.
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    5. Jiuyi Li, 2022. "Evaluation Methods for Water Resource Suitability in Territorial Spatial Planning: A Case Study of Baiyin City in a Semi-Arid Region," IJERPH, MDPI, vol. 19(19), pages 1-20, October.
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    7. Siliang Guo & Heng Ma, 2022. "Can the Spatial Function Division of Urbanization Promote Regional Coordinated Development? Evidence from the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 14(12), pages 1-28, June.
    8. Mingyang Nan & Jun Chen, 2022. "Research Progress, Hotspots and Trends of Land Use under the Background of Ecological Civilization in China: Visual Analysis Based on the CNKI Database," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    9. Yirui Zhao & Tongsheng Li & Julin Li & Mengwei Song, 2022. "Study of Township Construction Land Carrying Capacity and Spatial Pattern Matching in Loess Plateau Hilly and Gully Region: A Case of Xifeng in China," IJERPH, MDPI, vol. 19(23), pages 1-18, December.
    10. Keqiang Wang & Guoxiang Li & Hongmei Liu, 2020. "Location choice of industrial land reduction in Metropolitan Area: Evidence from Shanghai in China," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1837-1859, December.
    11. Haijun Bao & Chengcheng Wang & Lu Han & Shaohua Wu & Liming Lou & Baogen Xu & Yanfang Liu, 2020. "Resources and Environmental Pressure, Carrying Capacity, And Governance: A Case Study of Yangtze River Economic Belt," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    12. Hefeng Wang & Yuan Cao & Xiaohu Wu & Ao Zhao & Yi Xie, 2022. "Estimation and Potential Analysis of Land Population Carrying Capacity in Shanghai Metropolis," IJERPH, MDPI, vol. 19(14), pages 1-20, July.

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