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Spatial-Temporal Changes and Simulation of Land Use in Metropolitan Areas: A Case of the Zhengzhou Metropolitan Area, China

Author

Listed:
  • Xiuyan Zhao

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education, Henan University, Kaifeng 475001, China
    College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Changhong Miao

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education, Henan University, Kaifeng 475001, China
    College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

Abstract
Metropolitan areas are the main spatial units sustaining development. Investigating internal factor changes in metropolitan areas are of great significance for improving the quality of development in these areas. As an emerging national central city of China, Zhengzhou has experienced rapid urban expansion and urbanization. In this study, principal component analysis and the model and Geodetector model were used to comprehensively analyze the influencing factors of land use change in Zhengzhou from 1980 to 2015. Based on the CA–Markov model, we improved the accuracy of multi-criteria evaluation of suitability factors and simulated land use change in 2015. The results show that land use conversions in the study area between 1980 and 2015 were frequent, with the areas of farmland, woodland, grassland, water, and unused land decreasing by 5.00%, 17.12%, 21.59%, 18.31%, and 94.48%, respectively, while construction land increased by 53.61%. The key influences on land use change are the urbanization and growth of residential or non-agricultural populations. In 2035, the area of farmland in the study area will decrease by 11.09% compared with that in 2015 and construction land will increase by 38.94%, while the area of other land use types will not significantly change. Zhengzhou, as the center city, forms a diamond-shaped core development area of Zhengzhou–Kaifeng–Xinxiang–Jiaozuo, while Xuchang is considered an independent sub-center uniting the surrounding cities for expansion. With its radiation power of unipolar core development for many years and the developmental momentum of Zhengzhou–Kaifeng integration, Zhengzhou city jointly drives the economic development of the surrounding cities. The protection of farmland and control of the expansion of construction land are the major challenges for the Zhengzhou metropolitan area to achieve sustainable development.

Suggested Citation

  • Xiuyan Zhao & Changhong Miao, 2022. "Spatial-Temporal Changes and Simulation of Land Use in Metropolitan Areas: A Case of the Zhengzhou Metropolitan Area, China," IJERPH, MDPI, vol. 19(21), pages 1-27, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:14089-:d:956529
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    References listed on IDEAS

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    1. R White & G Engelen, 1993. "Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns," Environment and Planning A, , vol. 25(8), pages 1175-1199, August.
    2. Ernest F. Asamoah & Linda J. Beaumont & Joseph M. Maina, 2021. "Climate and land-use changes reduce the benefits of terrestrial protected areas," Nature Climate Change, Nature, vol. 11(12), pages 1105-1110, December.
    3. Huiran Han & Chengfeng Yang & Jinping Song, 2015. "Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China," Sustainability, MDPI, vol. 7(4), pages 1-20, April.
    4. Li, Feixue & Li, Zhifeng & Chen, Honghua & Chen, Zhenjie & Li, Manchun, 2020. "An agent-based learning-embedded model (ABM-learning) for urban land use planning: A case study of residential land growth simulation in Shenzhen, China," Land Use Policy, Elsevier, vol. 95(C).
    5. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Land use change and driving factors in rural China during the period 1995-2015," Land Use Policy, Elsevier, vol. 99(C).
    6. Ge Shi & Nan Jiang & Lianqiu Yao, 2018. "Land Use and Cover Change during the Rapid Economic Growth Period from 1990 to 2010: A Case Study of Shanghai," Sustainability, MDPI, vol. 10(2), pages 1-15, February.
    7. Guan, DongJie & Li, HaiFeng & Inohae, Takuro & Su, Weici & Nagaie, Tadashi & Hokao, Kazunori, 2011. "Modeling urban land use change by the integration of cellular automaton and Markov model," Ecological Modelling, Elsevier, vol. 222(20), pages 3761-3772.
    8. Man Li & JunJie Wu & Xiangzheng Deng, 2013. "Identifying Drivers of Land Use Change in China: A Spatial Multinomial Logit Model Analysis," Land Economics, University of Wisconsin Press, vol. 89(4), pages 632-654.
    9. Yongqiang Sun & Yan Li & Jing Gao & Yan Yan, 2022. "Spatial and Temporal Patterns of Urban Land Use Structure in Small Towns in China," Land, MDPI, vol. 11(8), pages 1-16, August.
    10. Karen C. Seto & Robert K. Kaufmann, 2003. "Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data," Land Economics, University of Wisconsin Press, vol. 79(1), pages 106-121.
    11. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    12. Haiyan Zhang & Michinori Uwasu & Keishiro Hara & Helmut Yabar, 2011. "Sustainable Urban Development and Land Use Change—A Case Study of the Yangtze River Delta in China," Sustainability, MDPI, vol. 3(7), pages 1-16, July.
    13. Huisheng Yu & Ge Song & Tong Li & Yanjun Liu, 2020. "Spatial Pattern Characteristics and Influencing Factors of Green Use Efficiency of Urban Construction Land in Jilin Province," Complexity, Hindawi, vol. 2020, pages 1-12, July.
    14. Jun Yang & Weiling Liu & Yonghua Li & Xueming Li & Quansheng Ge, 2018. "Simulating Intraurban Land Use Dynamics under Multiple Scenarios Based on Fuzzy Cellular Automata: A Case Study of Jinzhou District, Dalian," Complexity, Hindawi, vol. 2018, pages 1-17, August.
    15. Xu, Feng & Wang, Zhanqi & Chi, Guangqing & Zhang, Zhexi, 2020. "The impacts of population and agglomeration development on land use intensity: New evidence behind urbanization in China," Land Use Policy, Elsevier, vol. 95(C).
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