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Exploring the Spatial Pattern and Influencing Factors of Land Carrying Capacity in Wuhan

Author

Listed:
  • Nana Yang

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)

  • Jiansong Li

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)

  • Binbin Lu

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)

  • Minghai Luo

    (Monitoring of Wuhan Geographical Conditions group in Wuhan Geomatics Institute, Wuhan 430079, China)

  • Linze Li

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
    School of Public Health, University of Maryland, College Park, MD 20742-2611, USA)

Abstract

Land carrying capacity is an important factor for urban sustainable development. It provides essential insights into land resource allocation and management. In this article, we propose a framework to evaluate land carrying capacity with multiple data sources from the first geographical census and socioeconomic statistics. In particular, an index, Land Resource Pressure ( LRP ), is proposed to evaluate the land carrying capacity, and a case study was carried out in Wuhan. The LRP of Wuhan was calculated on 250 m * 250 m grids, and showed a circularly declining pattern from central to outer areas. We collected its influencing factors in terms of nature resources, economy, transportation and urban construction, and then analyzed its causes via geographically weighted (GW) models. Firstly, pair-wise correlations between LRP and each influencing factor were explored via the GW correlation coefficients. These local estimates provide an important precursor for the following quantitative analysis via the GW regression (GWR) technique. The GWR coefficient estimates interpret the influences on LRP in a localized view. Results show that per capita gross domestic product (PerGDP ) showed a higher absolute estimate among all factors, which proves that PerGDP has a relieving effect on LRP , especially in the southwestern areas. Overall, this study provides a technical framework to evaluate land carrying capacity with multi-source data sets and explore its localized influences via GW models, which could provide practical guidance for similar studies in other cities.

Suggested Citation

  • Nana Yang & Jiansong Li & Binbin Lu & Minghai Luo & Linze Li, 2019. "Exploring the Spatial Pattern and Influencing Factors of Land Carrying Capacity in Wuhan," Sustainability, MDPI, vol. 11(10), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2786-:d:231450
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    References listed on IDEAS

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    Cited by:

    1. Yang Tang & Yongbo Yuan & Qingyu Zhong, 2021. "Evaluation of Land Comprehensive Carrying Capacity and Spatio-Temporal Analysis of the Harbin-Changchun Urban Agglomeration," IJERPH, MDPI, vol. 18(2), pages 1-19, January.
    2. Wenzhu Luo & Liyin Shen & Lingyu Zhang & Xia Liao & Conghui Meng & Chi Jin, 2022. "A Load-Carrier Perspective Method for Evaluating Land Resources Carrying Capacity," IJERPH, MDPI, vol. 19(9), pages 1-21, May.
    3. Huimin Ji & Yunlong Peng & Wowo Ding, 2019. "A Quantitative Study of Geometric Characteristics of Urban Space Based on the Correlation with Microclimate," Sustainability, MDPI, vol. 11(18), pages 1-13, September.
    4. Alexandre B. Gonçalves, 2021. "Spatial Analysis and Geographic Information Systems as Tools for Sustainability Research," Sustainability, MDPI, vol. 13(2), pages 1-3, January.
    5. Huicong Jia & Fang Chen & Donghua Pan, 2019. "Disaster Chain Analysis of Avalanche and Landslide and the River Blocking Dam of the Yarlung Zangbo River in Milin County of Tibet on 17 and 29 October 2018," IJERPH, MDPI, vol. 16(23), pages 1-12, November.
    6. Jia Gao & Rongrong Zhao & Yuxin Zhan, 2022. "Land Comprehensive Carrying Capacity of Major Grain-Producing Areas in Northeast China: Spatial–Temporal Evolution, Obstacle Factors and Regulatory Policies," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    7. Xinhao Min & Yanning Wang & Jun Chen, 2022. "Resource Carrying Capacity Evaluation Based on Fuzzy Evaluation: Validation Using Karst Landscape Region in Southwest China," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    8. Daxue KAN & Weichiao HUANG, 2019. "Empirical Study of the Impact of Outward Foreign Direct Investment on Water Footprint Benefit in China," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    9. Zhimin Zhang & Guoli Ou & Ayman Elshkaki & Ruilin Liu, 2022. "Evaluation of Regional Carrying Capacity under Economic-Social-Resource-Environment Complex System: A Case Study of the Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    10. Wei Zhou & Ayman Elshkaki & Shuai Zhong & Lei Shen, 2021. "Study on Relative Carrying Capacity of Land Resources and Its Zoning in 31 Provinces of China," Sustainability, MDPI, vol. 13(3), pages 1-13, January.
    11. Yingying Zhang & Yigang Wei & Jian Zhang, 2021. "Overpopulation and urban sustainable development—population carrying capacity in Shanghai based on probability-satisfaction evaluation method," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3318-3337, March.
    12. 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.

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