IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i18p10458-d639402.html
   My bibliography  Save this article

Spatial Pattern Simulation of Land Use Based on FLUS Model under Ecological Protection: A Case Study of Hengyang City

Author

Listed:
  • Chuchu Zhang

    (College of Geography and Tourism, Hengyang Normal University, Hengyang 421002, China)

  • Peng Wang

    (College of Geography and Tourism, Hengyang Normal University, Hengyang 421002, China)

  • Pingsheng Xiong

    (College of Geography and Tourism, Hengyang Normal University, Hengyang 421002, China)

  • Chunhong Li

    (College of Geography and Tourism, Hengyang Normal University, Hengyang 421002, China)

  • Bin Quan

    (College of Geography and Tourism, Hengyang Normal University, Hengyang 421002, China)

Abstract

With rapid economic development in China, the excessive expansion of cities has led to the imbalance of land use structure, and then the ecological regulation function of the land ecosystem experiences problems, which has become an obstacle to sustainable development. Therefore, in order to protect the ecological environment, regulate urban development and pursue the maximization of ecological benefits, it is necessary to analyze, simulate and predict land use change. In this study, Hengyang City was taken as the study area, and based on the current land use data of Hengyang City in 2010, 2015, and 2018, the land use type transfer during 2010–2015 and 2015–2018 was analyzed. Then, starting from 2010, the FLUS model was used to simulate the spatial distribution of land use in 2015 and 2018, and then the spatial distribution of land use in Hengyang City in 2025 was predicted with the Markov prediction method under the premise of ecological protection priority. The results show that the change in ecological land in Hengyang City is mainly distributed in the surrounding and marginal areas, because the topography of Hengyang City is a basin. Changes in land type in Hengyang City in 2015 were subtle and difficult to observe. However, in 2018, the transformation of non-ecological land into ecological land was obvious, and the distribution area of ecological land expanded significantly. The Kappa index of the results simulated by the FLUS model based on neural network is above 0.72, and overall accuracy is above 0.9, which is highly consistent with the actual situation. It is reasonable and convincing to predict the spatial distribution of land use in the context of ecological protection. The predicted results can be useful for urban planning and land use distribution and provide a reference for relevant decision-makers.

Suggested Citation

  • Chuchu Zhang & Peng Wang & Pingsheng Xiong & Chunhong Li & Bin Quan, 2021. "Spatial Pattern Simulation of Land Use Based on FLUS Model under Ecological Protection: A Case Study of Hengyang City," Sustainability, MDPI, vol. 13(18), pages 1-18, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10458-:d:639402
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/18/10458/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/18/10458/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaoe Ding & Minrui Zheng & Xinqi Zheng, 2021. "The Application of Genetic Algorithm in Land Use Optimization Research: A Review," Land, MDPI, vol. 10(5), pages 1-21, May.
    2. Binbin Chang & Lei Chen, 2021. "Land Economic Efficiency and Improvement of Environmental Pollution in the Process of Sustainable Urbanization: Case of Eastern China," Land, MDPI, vol. 10(8), pages 1-23, August.
    3. Zhang, Honghui & Zeng, Yongnian & Jin, Xiaobin & Shu, Bangrong & Zhou, Yinkang & Yang, Xuhong, 2016. "Simulating multi-objective land use optimization allocation using Multi-agent system—A case study in Changsha, China," Ecological Modelling, Elsevier, vol. 320(C), pages 334-347.
    4. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    5. Richard Atkinson, 1958. "A markov model for discrimination learning," Psychometrika, Springer;The Psychometric Society, vol. 23(4), pages 309-322, December.
    6. Xuanming Ji & Kun Wang & Tao Ji & Yihua Zhang & Kun Wang, 2020. "Coupling Analysis of Urban Land Use Benefits: A Case Study of Xiamen City," Land, MDPI, vol. 9(5), pages 1-20, May.
    7. Junfang Yuan & Zhengfu Bian & Qingwu Yan & Yuanqing Pan, 2019. "Spatio-Temporal Distributions of the Land Use Efficiency Coupling Coordination Degree in Mining Cities of Western China," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiang Li & Zhaoshun Liu & Shujie Li & Yingxue Li, 2022. "Multi-Scenario Simulation Analysis of Land Use Impacts on Habitat Quality in Tianjin Based on the PLUS Model Coupled with the InVEST Model," Sustainability, MDPI, vol. 14(11), pages 1-18, June.
    2. Min Pei & Xiaohuang Liu & Jinjie Wang & Jiufen Liu & Xiaofeng Zhao & Hongyu Li & Ran Wang & Xinping Luo & Liyuan Xing & Chao Wang & Honghui Zhao, 2023. "Spatiotemporal Characteristics and Habitat Quality Analysis in the Temperate Desert Sub-Region of Ordos Plateau, China," Land, MDPI, vol. 12(7), pages 1-21, July.
    3. Zhiwei Deng & Bin Quan, 2022. "Intensity Characteristics and Multi-Scenario Projection of Land Use and Land Cover Change in Hengyang, China," IJERPH, MDPI, vol. 19(14), pages 1-18, July.
    4. Jingeng Huo & Zhenqin Shi & Wenbo Zhu & Hua Xue & Xin Chen, 2022. "A Multi-Scenario Simulation and Optimization of Land Use with a Markov–FLUS Coupling Model: A Case Study in Xiong’an New Area, China," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    5. Shuo Yang & Hao Su, 2022. "Multi-Scenario Simulation of Ecosystem Service Values in the Guanzhong Plain Urban Agglomeration, China," Sustainability, MDPI, vol. 14(14), pages 1-23, July.
    6. Xiaoping Zhou & Xiaotian Li & Xiaokun Gu, 2023. "How Does Urban-Rural Capital Flow Affect Rural Reconstruction near Metropolitan Areas? Evidence from Shanghai, China," Land, MDPI, vol. 12(3), pages 1-16, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Binbin Chang & Lei Chen, 2021. "Land Economic Efficiency and Improvement of Environmental Pollution in the Process of Sustainable Urbanization: Case of Eastern China," Land, MDPI, vol. 10(8), pages 1-23, August.
    2. Weiping Zhang & Peiji Shi & Huali Tong, 2022. "Research on Construction Land Use Benefit and the Coupling Coordination Relationship Based on a Three-Dimensional Frame Model—A Case Study in the Lanzhou-Xining Urban Agglomeration," Land, MDPI, vol. 11(4), pages 1-16, March.
    3. Yedong Chen & Jiang Chang & Zixuan Li & Li Ming & Cankun Li & Cheng Li, 2023. "Coupling Coordination and Spatiotemporal Analysis of Urban Compactness and Land-Use Efficiency in Resource-Based Areas: A Case Study of Shanxi Province, China," Land, MDPI, vol. 12(9), pages 1-23, August.
    4. Yin Ma & Minrui Zheng & Xinqi Zheng & Yi Huang & Feng Xu & Xiaoli Wang & Jiantao Liu & Yongqiang Lv & Wenchao Liu, 2023. "Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review," Land, MDPI, vol. 12(4), pages 1-21, April.
    5. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    6. Xuanming Ji & Kun Wang & Tao Ji & Yihua Zhang & Kun Wang, 2020. "Coupling Analysis of Urban Land Use Benefits: A Case Study of Xiamen City," Land, MDPI, vol. 9(5), pages 1-20, May.
    7. Yingkai Tang & Kun Wang & Xuanming Ji & He Xu & Yangqing Xiao, 2021. "Assessment and Spatial-Temporal Evolution Analysis of Urban Land Use Efficiency under Green Development Orientation: Case of the Yangtze River Delta Urban Agglomerations," Land, MDPI, vol. 10(7), pages 1-19, July.
    8. Shu Wang & Fenglian Liu, 2023. "Spatiotemporal Evolution of Land Use Efficiency in Southwest Mountain Area of China: A Case Study of Yunnan Province," Agriculture, MDPI, vol. 13(7), pages 1-24, July.
    9. Yanjun Meng & Kun Wang & Yuanyuan Lin, 2021. "The Role of Land Use Transition on Industrial Pollution Reduction in the Context of Innovation-Driven: The Case of 30 Provinces in China," Land, MDPI, vol. 10(4), pages 1-20, April.
    10. Kun Wang & Yingkai Tang & Yaozhi Chen & Longwen Shang & Xuanming Ji & Mengchao Yao & Ping Wang, 2020. "The Coupling and Coordinated Development from Urban Land Using Benefits and Urbanization Level: Case Study from Fujian Province (China)," IJERPH, MDPI, vol. 17(16), pages 1-18, August.
    11. Han Chen & Chunyu Meng & Qilin Cao, 2022. "Measurement and Influencing Factors of Low Carbon Urban Land Use Efficiency—Based on Non-Radial Directional Distance Function," Land, MDPI, vol. 11(7), pages 1-16, July.
    12. Houtian Tang & Yuanlai Wu & Jinxiu Chen & Liuxin Deng & Minjie Zeng, 2022. "How Does Change in Rural Residential Land Affect Cultivated Land Use Efficiency? An Empirical Study Based on 42 Cities in the Middle Reaches of the Yangtze River," Land, MDPI, vol. 11(12), pages 1-20, December.
    13. Fei Shi & Yuanyuan Lu & Longgao Chen & Wei-Ling Hsu, 2023. "Evaluation of the Sustainable Use of Land Resources in the Cities along the Jiangsu Section of the Beijing–Hangzhou Grand Canal," Land, MDPI, vol. 12(6), pages 1-20, June.
    14. Peijia Wang & Ping Wang, 2022. "Spatio-Temporal Evolution of Land Use Transition in the Background of Carbon Emission Trading Scheme Implementation: An Economic–Environmental Perspective," Land, MDPI, vol. 11(3), pages 1-21, March.
    15. Qunxi Gong & Gengxuan Guo & Sipan Li & Xuedong Liang, 2021. "Examining the Coupling Coordinated Relationship between Urban Industrial Co-Agglomeration and Intensive Land Use," Land, MDPI, vol. 10(5), pages 1-12, May.
    16. Xufeng Cui & Sheng Yang & Guanghong Zhang & Bin Liang & Fei Li, 2020. "An Exploration of a Synthetic Construction Land Use Quality Evaluation Based on Economic-Social-Ecological Coupling Perspective: A Case Study in Major Chinese Cities," IJERPH, MDPI, vol. 17(10), pages 1-16, May.
    17. Yang Zheng & Linlin Cheng & Yifang Wang, 2022. "Measuring the Spatial Conflict of Resource-Based Cities and Its Coupling Coordination Relationship with Land Use," Land, MDPI, vol. 11(9), pages 1-16, September.
    18. Ruimin Yin & Zhanqi Wang & Ji Chai & Yunxiao Gao & Feng Xu, 2022. "The Evolution and Response of Space Utilization Efficiency and Carbon Emissions: A Comparative Analysis of Spaces and Regions," Land, MDPI, vol. 11(3), pages 1-21, March.
    19. Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
    20. Chengkun Huang & Feiyang Lin & Deping Chu & Lanlan Wang & Jiawei Liao & Junqian Wu, 2021. "Coupling Relationship and Interactive Response between Intensive Land Use and Tourism Industry Development in China’s Major Tourist Cities," Land, MDPI, vol. 10(7), pages 1-17, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10458-:d:639402. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.