IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i7p1003-d853824.html

Land Use Optimization for Coastal Urban Agglomerations Based on Economic and Ecological Gravitational Linkages and Accessibility

Author

Listed:
  • Tingting Pan

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing 210093, China)

  • Fengqin Yan

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Fenzhen Su

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing 210093, China)

  • Vincent Lyne

    (IMAS-Hobart, University of Tasmania, Hobart, TAS 7004, Australia)

  • Chaodong Zhou

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Urban agglomerations (UA) are attracting increasing research attention as a global emergent phenomenon, whereby regional collaborative linkages between cities attracts and agglomerates development. However, these studies also acknowledge that ecological values may be negatively impacted by re-development, ecological fragmentation, and proximity or downstream impacts. Sustainable development, therefore, requires balancing forces from economic attraction and ecological repulsion. Forces similar to economic ones may also operate in attracting ecological enhancement towards higher-valued ecological regions; however, research regarding the role of the self-collaborative gravity-like forces shaping UA is limited in land use optimization. To assist planners, this study developed a new multi-objective land use optimization of UA that explored the intensity of economic ties and ecological gradients using the multi-objective NSGA-II algorithm. In this model, economic linkage intensity (ELI) and accessibility were used to calculate a modified GDP (gross domestic product), while the NDVI (normalized difference vegetation index) was used for the modified ESV (ecosystem services value). Spatial allocation with implicit economic accessibility relationships was enhanced through a two-step mutation operator, including a “gravity flip” spatial orientation factor. Compared to the standard NSGA-II algorithm, models of future land use of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) in 2030 have shown that the modified GDP value in our model increased by 7.41%, while the conversion rate of high-density vegetation reduced by 7.92%. The results highlighted the importance of linkage and accessibility factors in enhancing the clustering of cities. In tandem, the modified ESV also enhances ecosystem services contributions of higher value vegetated land through decentralized built-up developments. The proposed model provides managers with a comprehensive and efficient land use solution model that accounts for intrinsic linkage factors shaping the development of compact urban agglomerations.

Suggested Citation

  • Tingting Pan & Fengqin Yan & Fenzhen Su & Vincent Lyne & Chaodong Zhou, 2022. "Land Use Optimization for Coastal Urban Agglomerations Based on Economic and Ecological Gravitational Linkages and Accessibility," Land, MDPI, vol. 11(7), pages 1-18, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:7:p:1003-:d:853824
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/7/1003/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/7/1003/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Md. Mostafizur Rahman & György Szabó, 2021. "A Geospatial Approach to Measure Social Benefits in Urban Land Use Optimization Problem," Land, MDPI, vol. 10(12), pages 1-23, December.
    2. 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.
    3. Gao, Xin & Zhang, Anlu & Sun, Zhanli, 2020. "How regional economic integration influence on urban land use efficiency？ A case study of Wuhan metropolitan area, China," Land Use Policy, Elsevier, vol. 90(C).
    4. Daniel Caparros‐Midwood & Stuart Barr & Richard Dawson, 2017. "Spatial Optimization of Future Urban Development with Regards to Climate Risk and Sustainability Objectives," Risk Analysis, John Wiley & Sons, vol. 37(11), pages 2164-2181, November.
    5. Liping Liu, 2020. "Use Case Optimization," World Scientific Book Chapters, in: REQUIREMENTS MODELING AND CODING An Object-Oriented Approach, chapter 11, pages 255-278, World Scientific Publishing Co. Pte. Ltd..
    6. Shiqi Huang & Furui Xi & Yiming Chen & Ming Gao & Xu Pan & Ci Ren, 2021. "Land Use Optimization and Simulation of Low-Carbon-Oriented—A Case Study of Jinhua, China," Land, MDPI, vol. 10(10), pages 1-18, September.
    7. Bowen Chen & Changyan Wu & Xianjin Huang & Xuefeng Yang, 2020. "Examining the Relationship between Urban Land Expansion and Economic Linkage Using Coupling Analysis: A Case Study of the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    8. Dan Su & Xiaoqian Fang & Qing Wu & Yu Cao, 2022. "Exploring the Spatiotemporal Integration Evolution of the Urban Agglomeration through City Networks," Land, MDPI, vol. 11(4), pages 1-18, 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. Libiao Bai & Xinyu Zhou & Yuanyuan Tian & Lan Wei, 2024. "Evaluation for the Development of Urban Agglomeration Integration: A Case Study of Pearl River Delta," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 171(3), pages 877-904, February.
    2. Na Lu & Tiantian Shan & Wen Li & Xuan Liu & Weidong Wang, 2025. "Does the Digital Economy Promote Green Land Use Efficiency?," Sustainability, MDPI, vol. 17(16), pages 1-22, August.
    3. Zhen Wang & Xupeng Zhang & Chaozheng Zhang & Qing Yang, 2022. "How Regional Integration Affects Urban Green Development Efficiency: Evidence from Urban Agglomeration in the Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    4. Shang, Hua & Jiang, Li & Di, Yuhang, 2024. "Spatial connection strength and endogenous and exogenous interactive driving factors of carbon efficiency in China's metropolitan areas with higher energy consumption," Energy, Elsevier, vol. 311(C).
    5. Xujing Yu & Liping Shan & Yuzhe Wu, 2021. "Land Use Optimization in a Resource-Exhausted City Based on Simulation of the F-E-W Nexus," Land, MDPI, vol. 10(10), pages 1-22, September.
    6. Zhang, Shuyu & Wei, Fei & Zhang, Yanji & Li, Yayu & Zhu, Lingjia & Guo, Huagui, 2025. "Unequal partnerships: Asymmetrical effects of urban economic linkages on land-use efficiency in 284 cities, China," Land Use Policy, Elsevier, vol. 155(C).
    7. Jinmeng Lee & Xiaojun Yin & Honghui Zhu, 2024. "Spatial Optimization of Land Use Allocation Based on the Trade-off of Carbon Mitigation and Economic Benefits: A Study in Tianshan North Slope Urban Agglomeration," Land, MDPI, vol. 13(6), pages 1-18, June.
    8. Xinxin Fu & Xiaofeng Wang & Jitao Zhou & Jiahao Ma, 2021. "Optimizing the Production-Living-Ecological Space for Reducing the Ecosystem Services Deficit," Land, MDPI, vol. 10(10), pages 1-17, September.
    9. Ke Huang & Martin Dallimer & Lindsay C. Stringer & Anlu Zhang & Ting Zhang, 2021. "Does Economic Agglomeration Lead to Efficient Rural to Urban Land Conversion? An Examination of China’s Metropolitan Area Development Strategy," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    10. Lisha Pan & Hangang Hu & Xin Jing & Yang Chen & Guan Li & Zhongguo Xu & Yuefei Zhuo & Xueqi Wang, 2022. "The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China," Land, MDPI, vol. 11(6), pages 1-16, June.
    11. Ma, Wen & Fang, Zhuoqiong & Zhang, Xiangfeng, 2023. "Comparative analysis of structural characteristics of China's 18 typical urban agglomerations based on flows of various elements," Ecological Modelling, Elsevier, vol. 479(C).
    12. Jiawei Zheng & Yaping Huang & Shiwei Lu & Yueheng Huang & Leizhou Zhu, 2025. "Delineating Functional Metropolitan Areas in China: A Method Based on the Tri-Dimensional PET Coupling Model," Land, MDPI, vol. 14(9), pages 1-21, September.
    13. Kopczewska, Katarzyna, 2025. "The role of urban greening in limiting land take in case of population growth: Evidence for Europe 2005–2018," Land Use Policy, Elsevier, vol. 158(C).
    14. Li, Xiaoshun & Ji, Haitao & Chen, Xin & Liu, Xizhao & Geng, Yiwei & Deng, Bixia & Li, Fan, 2025. "A mechanics-based theoretical framework of urban sprawl force: A case study in Nanjing, Wuxi, and Yangzhou, China," Land Use Policy, Elsevier, vol. 150(C).
    15. Bin Duan & Xuanming Ji, 2021. "Can Carbon Finance Optimize Land Use Efficiency? The Example of China’s Carbon Emissions Trading Policy," Land, MDPI, vol. 10(9), pages 1-18, September.
    16. 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.
    17. Xinhai Lu & Zhenxing Shi & Jia Li & Junhao Dong & Mingjie Song & Jiao Hou, 2022. "Research on the Impact of Factor Flow on Urban Land Use Efficiency from the Perspective of Urbanization," Land, MDPI, vol. 11(3), pages 1-17, March.
    18. Chao Wang & Jianing Wang & Le Ma & Mingming Jia & Jiaying Chen & Zhenfeng Shao & Nengcheng Chen, 2024. "Prediction Modeling and Driving Factor Analysis of Spatial Distribution of CO 2 Emissions from Urban Land in the Yangtze River Economic Belt, China," Land, MDPI, vol. 13(9), pages 1-21, September.
    19. Aurel Pera, 2020. "Assessing Sustainability Behavior and Environmental Performance of Urban Systems: A Systematic Review," Sustainability, MDPI, vol. 12(17), pages 1-19, September.
    20. Yingjie Gao & Yating Yang & Boyang Wu & Shengnan Zhao & Lingyun Fan, 2026. "Synergistic evolution and transition mechanism of urban resilience and efficiency in the Yangtze River Delta urban agglomeration, China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-19, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:11:y:2022:i:7:p:1003-:d:853824. 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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.