IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i8p1257-d1453303.html
   My bibliography  Save this article

A New Framework of Land Use Simulation for Land Use Benefit Optimization Based on GMOP-PLUS Model—A Case Study of Haikou

Author

Listed:
  • Hui Fu

    (School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China)

  • Yaowen Liang

    (School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China)

  • Jie Chen

    (School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China)

  • Ling Zhu

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Guang Fu

    (School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China)

Abstract

Multi-scenario simulation and prediction of land use can provide guidance for the optimization of land use patterns. Combining the GMOP model with the PLUS model can better evaluate the influence of different land use strategies on the comprehensive benefits of land use and improve the scientificity of the simulation results. This study takes Haikou City as the research area. As the political, economic, and cultural center of Hainan Province, it is the highest urbanization area in Hainan Province and also the vane of the urban development of Hainan Province. Its development experience and model play an important leading role in the surrounding cities. The land use data of 2010, 2015, and 2020 were selected, and the spatiotemporal pattern of land use under the 2035 Business As Usual scenario (BAU), Economic Development scenario (ED), and Economic and Ecological Balanced Development scenario (EEB) was simulated based on the GMOP-PLUS model. The results show that: (1) The prediction results generally show the trend of the decrease in cultivated land and forest land and the increase in construction land, among which the expansion capacity of construction land is the strongest, and the forest land is more occupied, but the increase and decrease in land use types are different under different scenarios. (2) The three simulation scenarios all show the trend of economic benefit improvement and ecological benefit decline, which indicates that the primary objective of Haikou City’s future development remains focused on economic construction, with the potential compromise of ecological functions to accommodate urban expansion. (3) The comprehensive benefits of the region in the EEB scenario are significantly higher than those in the BAU and ED scenarios. The optimized land use structure is more balanced, the scale of urban expansion is limited, and the loss of important ecological land is reduced to a minimum, which is more in line with the current concept of sustainable development. The study can serve as a reference for the coordinated development of urban planning, land use management, and ecological environment in Haikou.

Suggested Citation

  • Hui Fu & Yaowen Liang & Jie Chen & Ling Zhu & Guang Fu, 2024. "A New Framework of Land Use Simulation for Land Use Benefit Optimization Based on GMOP-PLUS Model—A Case Study of Haikou," Land, MDPI, vol. 13(8), pages 1-22, August.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1257-:d:1453303
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/8/1257/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/8/1257/
    Download Restriction: no
    ---><---

    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:jlands:v:13:y:2024:i:8:p:1257-:d:1453303. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.