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Evaluation of Urban Intensive Land Use Degree with GEE Support: A Case Study in the Pearl River Delta Region, China

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  • Yiqun Shang

    (Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China
    School of Information Engineering, China University of Geosciences, Beijing 100083, China)

  • Dongya Liu

    (School of Information Engineering, China University of Geosciences, Beijing 100083, China)

  • Yi Chen

    (School of Accounting, Shandong University of Finance and Economics, Jinan 250014, China)

Abstract

Evaluation of intensive land use (ILU) over long time series is essential for the rational use of land and urban development. We propose a novel framework for analyzing ILU in the Pearl River Delta (PRD) region of China. First, we used Google Earth Engine (GEE) to obtain cities’ built-up land information. Second, we calculated the ILU degree and constructed an evaluation index system based on the Pressure–State–Response (PSR) theoretical framework. Third, we employed Geodetector to determine the dominant influencing factors on ILU. The findings are as follows: (1) It is accurate and effective to extract land use data using GEE. From 2000 to 2020, all cities’ built-up areas increased, but the increases differed by city. (2) While the ILU level in all cities has increased over the past 20 years, the ILU level in each city varies. Specifically, Shenzhen had the highest ILU degree in 2020, followed by core cities such as Guangzhou, Dongguan, and Zhuhai, while cities on the PRD region’s periphery, such as Zhaoqing and Jiangmen, had relatively low ILU levels. (3) In terms of time, the dominant factors influencing ILU in the PRD region have shifted over the past two decades. During this period, however, two factors (economic density and disposable income per capita) have always played a dominant role. This suggests that improving economic output efficiency and the city’s economic strength is a feasible way to raise the ILU level at this time.

Suggested Citation

  • Yiqun Shang & Dongya Liu & Yi Chen, 2022. "Evaluation of Urban Intensive Land Use Degree with GEE Support: A Case Study in the Pearl River Delta Region, China," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13284-:d:943626
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    References listed on IDEAS

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    1. He, Yongxiu & Pang, Yuexia & Zhang, Qi & Jiao, Zhe & Chen, Qian, 2018. "Comprehensive evaluation of regional clean energy development levels based on principal component analysis and rough set theory," Renewable Energy, Elsevier, vol. 122(C), pages 643-653.
    2. Yunyang Ji & Xiaoxin Guo & Shihu Zhong & Lina Wu, 2020. "Land Financialization, Uncoordinated Development of Population Urbanization and Land Urbanization, and Economic Growth: Evidence from China," Land, MDPI, vol. 9(12), pages 1-22, November.
    3. Dong-jun Liu & Li Li, 2015. "Application Study of Comprehensive Forecasting Model Based on Entropy Weighting Method on Trend of PM 2.5 Concentration in Guangzhou, China," IJERPH, MDPI, vol. 12(6), pages 1-15, June.
    4. Liangliang Zhou & Yishao Shi & Xiangyang Cao, 2019. "Evaluation of Land Intensive Use in Shanghai Pilot Free Trade Zone," Land, MDPI, vol. 8(6), pages 1-16, May.
    5. Xu, Gang & Yang, Yong-ping & Lu, Shi-yuan & Li, Le & Song, Xiaona, 2011. "Comprehensive evaluation of coal-fired power plants based on grey relational analysis and analytic hierarchy process," Energy Policy, Elsevier, vol. 39(5), pages 2343-2351, May.
    6. Xiaoteng Cen & Cifang Wu & Xiaoshi Xing & Ming Fang & Zhuoma Garang & Yizhou Wu, 2015. "Coupling Intensive Land Use and Landscape Ecological Security for Urban Sustainability: An Integrated Socioeconomic Data and Spatial Metrics Analysis in Hangzhou City," Sustainability, MDPI, vol. 7(2), pages 1-24, January.
    7. Hui Jin & Xinyi Qian & Tachia Chin & Hejie Zhang, 2020. "A Global Assessment of Sustainable Development Based on Modification of the Human Development Index via the Entropy Method," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
    8. 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.
    9. Jiaxin Lu & Weijun Wang & Yingchao Zhang & Song Cheng, 2017. "Multi-Objective Optimal Design of Stand-Alone Hybrid Energy System Using Entropy Weight Method Based on HOMER," Energies, MDPI, vol. 10(10), pages 1-17, October.
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