IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i5p3977-d1076727.html
   My bibliography  Save this article

Multi-Objective Optimization of Land Use in the Beijing–Tianjin–Hebei Region of China Based on the GMOP-PLUS Coupling Model

Author

Listed:
  • Fandi Meng

    (College of Land and Resources, Hebei Agricultural University, Baoding 071000, China)

  • Zhi Zhou

    (College of Land and Resources, Hebei Agricultural University, Baoding 071000, China)

  • Pengtao Zhang

    (College of Land and Resources, Hebei Agricultural University, Baoding 071000, China)

Abstract

The changeable patterns and contractions of land use have become increasingly significant in recent years as the economy and society have rapidly developed. Subsequently, land use change simulation has become a focal point in the study of land use patterns and change processes. Four development scenarios in 2030, including business-as-usual, ecological protection, economic development, and sustainable development scenarios, are proposed to realize the sustainable development of land use in Beijing–Tianjin–Hebei in the context of a low-carbon economy and ecological security. Then, a feasible multi-objective land use optimization scheme suitable for the region’s long-term development was identified through comparative analysis. The GMOP-PLUS model analyzed changes in ecological and economic benefits and carbon emissions by optimizing the quantitative structure and spatial layout of land use in different scenarios. The cultivated land area in the four scenarios decreased, while the construction land area increased for all scenarios other than the ecological protection and sustainable development scenarios. Moreover, the target development of the sustainable development scenario was the most balanced, with carbon emissions and economic benefits reduced by 49.77 million tons and CNY 0.73 billion compared with the business-as-usual scenario, respectively. Meanwhile, the ecological benefits increased by CNY 0.03 billion, and the economic benefits increased by 1.54 times compared with those in 2020. Therefore, the sustainable development scenario was more in line with the needs of Beijing, Tianjin, and Hebei for high-quality economic and ecological development, aiming towards a low-carbon goal. This work provides a theoretical basis for Beijing–Tianjin–Hebei territorial spatial planning and more perspectives for the study of sustainable land use through the obtained results.

Suggested Citation

  • Fandi Meng & Zhi Zhou & Pengtao Zhang, 2023. "Multi-Objective Optimization of Land Use in the Beijing–Tianjin–Hebei Region of China Based on the GMOP-PLUS Coupling Model," Sustainability, MDPI, vol. 15(5), pages 1-22, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:3977-:d:1076727
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/5/3977/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/5/3977/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Haiyue Fu & Shuchang Zhao & Chuan Liao, 2022. "Spatial governance of Beijing-Tianjin-Hebei urban agglomeration towards low-carbon transition," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 14(4), pages 774-798, August.
    3. Rongtian Zhang & Jianfei Lu, 2021. "Simulation of Land Use Pattern Evolution from a Multi-Scenario Perspective: A Case Study of Suzhou City in Anhui Province, China," IJERPH, MDPI, vol. 18(3), pages 1-12, January.
    4. Yang, Yuanyuan & Bao, Wenkai & Liu, Yansui, 2020. "Scenario simulation of land system change in the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 96(C).
    5. Mery Biswas & Suranjana Banerji & Deblina Mitra, 2020. "Land-use–land-cover change detection and application of Markov model: A case study of Eastern part of Kolkata," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 4341-4360, June.
    6. Haiyue Fu & Shuchang Zhao & Chuan Liao, 2022. "Spatial governance of Beijing-Tianjin-Hebei urban agglomeration towards low-carbon transition," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 14(4), pages 774-798, August.
    7. Leizhou Zhu & Yaping Huang, 2022. "Multi-Scenario Simulation of Ecosystem Service Value in Wuhan Metropolitan Area Based on PLUS-GMOP Model," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    8. Shannon M. Sterling & Agnès Ducharne & Jan Polcher, 2013. "The impact of global land-cover change on the terrestrial water cycle," Nature Climate Change, Nature, vol. 3(4), pages 385-390, April.
    9. Changchang Liu & Chuxiong Deng & Zhongwu Li & Yaojun Liu & Shuyuan Wang, 2022. "Optimization of Spatial Pattern of Land Use: Progress, Frontiers, and Prospects," IJERPH, MDPI, vol. 19(10), pages 1-22, May.
    10. Yongjun Du & Xiaolong Li & Xinlin He & Xiaoqian Li & Guang Yang & Dongbo Li & Wenhe Xu & Xiang Qiao & Chen Li & Lu Sui, 2022. "Multi-Scenario Simulation and Trade-Off Analysis of Ecological Service Value in the Manas River Basin Based on Land Use Optimization in China," IJERPH, MDPI, vol. 19(10), pages 1-31, May.
    11. Lei Gao & Brett A. Bryan, 2017. "Finding pathways to national-scale land-sector sustainability," Nature, Nature, vol. 544(7649), pages 217-222, April.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Changchang Liu & Chuxiong Deng & Zhongwu Li & Yaojun Liu & Shuyuan Wang, 2022. "Optimization of Spatial Pattern of Land Use: Progress, Frontiers, and Prospects," IJERPH, MDPI, vol. 19(10), pages 1-22, May.
    3. Yiting Zuo & Jie Cheng & Meichen Fu, 2022. "Analysis of Land Use Change and the Role of Policy Dimensions in Ecologically Complex Areas: A Case Study in Chongqing," Land, MDPI, vol. 11(5), pages 1-27, April.
    4. Bingkui Qiu & Yan Tu & Guoliang Ou & Min Zhou & Yifan Zhu & Shuhan Liu & Haoyang Ma, 2023. "Optimal Modeling of Sustainable Land Use Planning under Uncertain at a Watershed Level: Interval Stochastic Fuzzy Linear Programming with Chance Constraints," Land, MDPI, vol. 12(5), pages 1-21, May.
    5. Ashenafi Mehari & Paolo Vincenzo Genovese, 2023. "A Land Use Planning Literature Review: Literature Path, Planning Contexts, Optimization Methods, and Bibliometric Methods," Land, MDPI, vol. 12(11), pages 1-41, October.
    6. Dimas de Barros Santiago & Humberto Alves Barbosa & Washington Luiz Félix Correia Filho & José Francisco de Oliveira-Júnior & Franklin Paredes-Trejo & Catarina de Oliveira Buriti, 2022. "Variability of Water Use Efficiency Associated with Climate Change in the Extreme West of Bahia," Sustainability, MDPI, vol. 14(23), pages 1-13, November.
    7. Qinghe Zhao & Shengyan Ding & Xiaoyu Ji & Zhendong Hong & Mengwen Lu & Peng Wang, 2021. "Relative Contribution of the Xiaolangdi Dam to Runoff Changes in the Lower Yellow River," Land, MDPI, vol. 10(5), pages 1-21, May.
    8. Matthew D. Senyshen & Dongmei Chen, 2023. "The Impact of Land Cover Change on Surface Water Temperature of Small Lakes in Eastern Ontario from 1985 to 2020," Land, MDPI, vol. 12(3), pages 1-18, February.
    9. Marcello Schiavina & Michele Melchiorri & Christina Corbane & Aneta J. Florczyk & Sergio Freire & Martino Pesaresi & Thomas Kemper, 2019. "Multi-Scale Estimation of Land Use Efficiency (SDG 11.3.1) across 25 Years Using Global Open and Free Data," Sustainability, MDPI, vol. 11(20), pages 1-25, October.
    10. Furui Xi & Gang Lin & Yanan Zhao & Xiang Li & Zhiyu Chen & Chenglong Cao, 2023. "Land Use Optimization and Carbon Storage Estimation in the Yellow River Basin, China," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    11. Ming Zhang & Xiaojie Liu & Dan Yan, 2023. "Land Use Conflicts Assessment in Xiamen, China under Multiple Scenarios," Land, MDPI, vol. 12(2), pages 1-16, February.
    12. Cao, R. & Huang, G.H. & Chen, J.P. & Li, Y.P. & He, C.Y., 2021. "A chance-constrained urban agglomeration energy model for cooperative carbon emission management," Energy, Elsevier, vol. 223(C).
    13. Kristin Linnerud & Erling Holden & Morten Simonsen, 2021. "Closing the sustainable development gap: A global study of goal interactions," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 738-753, July.
    14. Keith R. Skene, 2021. "No goal is an island: the implications of systems theory for the Sustainable Development Goals," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 9993-10012, July.
    15. Jing Yao & Xiaoxiang Zhang & Alan T. Murray, 2018. "Spatial Optimization for Land-use Allocation," International Regional Science Review, , vol. 41(6), pages 579-600, November.
    16. Weixing Lin & Changqiao Hong & Yinkang Zhou, 2020. "Multi-Scale Evaluation of Suzhou City’s Sustainable Development Level Based on the Sustainable Development Goals Framework," Sustainability, MDPI, vol. 12(3), pages 1-28, January.
    17. Yang Zhang & Nazhalati Naerkezi & Yun Zhang & Bo Wang, 2024. "Multi-Scenario Land Use/Cover Change and Its Impact on Carbon Storage Based on the Coupled GMOP-PLUS-InVEST Model in the Hexi Corridor, China," Sustainability, MDPI, vol. 16(4), pages 1-22, February.
    18. Cong Zhang & Xiaojun Yao & Guoyu Wang & Huian Jin & Te Sha & Xinde Chu & Juan Zhang & Juan Cao, 2022. "Temporal and Spatial Variation of Land Use and Vegetation in the Three–North Shelter Forest Program Area from 2000 to 2020," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    19. Dilayda Soylu Pekpostalci & Rifat Tur & Ali Danandeh Mehr & Mohammad Amin Vazifekhah Ghaffari & Dominika Dąbrowska & Vahid Nourani, 2023. "Drought Monitoring and Forecasting across Turkey: A Contemporary Review," Sustainability, MDPI, vol. 15(7), pages 1-23, March.
    20. Wei Guo & Yongjia Teng & Yueguan Yan & Chuanwu Zhao & Wanqiu Zhang & Xianglin Ji, 2022. "Simulation of Land Use and Carbon Storage Evolution in Multi-Scenario: A Case Study in Beijing-Tianjin-Hebei Urban Agglomeration, China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.

    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:15:y:2023:i:5:p:3977-:d:1076727. 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.