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The Assessment of Land Suitability for Urban Expansion and Renewal for Coastal Urban Agglomerations: A Pilot Study of the Guangdong-Hong Kong-Macao Greater Bay Area

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  • Tingting Pan

    (Donghai Academy & Zhejiang Ocean Development Think Tank Alliance, Ningbo University, Ningbo 325211, China
    Zhejiang Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research, Ningbo University, Ningbo 325211, China
    Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 325211, 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 100101, 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 100101, China)

  • Liang Xu

    (School of Earth Sciences, Zhejiang University, Hangzhou 310058, China)

Abstract

Effectively and rationally allocating land resources, while coordinating urban expansion with internal renewal strategies, is crucial for achieving high-quality regional development in coastal urban agglomerations. Land-use suitability assessment (LSA) is a key method for coastal land-use planning, but it is primarily used to delineate ecological redlines or areas for urban expansion, often overlooking the spatial analysis needed for urban renewal. This is particularly critical in coastal urban agglomerations facing land scarcity and ecological fragility. Here, we combined land use and the Analytical Hierarchical Process (to consider stakeholder priorities) in a Minimum cumulative resistance model (MCRM) to determine suitable coastal urban growth and renewal based on a suite of 12 indicators relevant to development intensity and stock space. Application to the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) indicates a dominance of the Ecological Buffer Zone (70.5%), and the available stock space in the GBA comprises only 9.2% of the total area. Our modeling framework tailored different development strategies for different cities: Huizhou and Zhaoqing had space for urban expansion to varying degrees, while other cities were found to be suitable for urban renewal due to low stock space and high development intensity. Our modeling approach, incorporating stakeholder input and objective evaluation of geographic land-use information, can assist planners in improving ecological security while promoting high-quality developments in coastal areas.

Suggested Citation

  • Tingting Pan & Fengqin Yan & Fenzhen Su & Liang Xu, 2024. "The Assessment of Land Suitability for Urban Expansion and Renewal for Coastal Urban Agglomerations: A Pilot Study of the Guangdong-Hong Kong-Macao Greater Bay Area," Land, MDPI, vol. 13(11), pages 1-17, October.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:11:p:1729-:d:1504056
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    References listed on IDEAS

    as
    1. Li, Feng & Ye, Yaping & Song, Bowen & Wang, Rusong, 2015. "Evaluation of urban suitable ecological land based on the minimum cumulative resistance model: A case study from Changzhou, China," Ecological Modelling, Elsevier, vol. 318(C), pages 194-203.
    2. Tingting Pan & Yu Zhang & Fengqin Yan & Fenzhen Su, 2023. "Collaborative Optimal Allocation of Urban Land Guide by Land Ecological Suitability: A Case Study of Guangdong–Hong Kong–Macao Greater Bay Area," Land, MDPI, vol. 12(4), pages 1-17, March.
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    4. Asabere, Stephen Boahen & Acheampong, Ransford A. & Ashiagbor, George & Beckers, Sandra Carola & Keck, Markus & Erasmi, Stefan & Schanze, Jochen & Sauer, Daniela, 2020. "Urbanization, land use transformation and spatio-environmental impacts: Analyses of trends and implications in major metropolitan regions of Ghana," Land Use Policy, Elsevier, vol. 96(C).
    5. Wenting Zhang & Bo Li, 2021. "Research on an Analytical Framework for Urban Spatial Structural and Functional Optimisation: A Case Study of Beijing City, China," Land, MDPI, vol. 10(1), pages 1-19, January.
    6. Mokarram, Marzieh & Mirsoleimani, Abbas, 2018. "Using Fuzzy-AHP and order weight average (OWA) methods for land suitability determination for citrus cultivation in ArcGIS (Case study: Fars province, Iran)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 506-518.
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