IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13528-d1236829.html
   My bibliography  Save this article

Evaluating and Analyzing Urban Renewal and Transformation Potential Based on AET Models: A Case Study of Shenzhen City

Author

Listed:
  • Kaizhong Yao

    (School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049, China
    These authors contributed equally to this work.)

  • Yuefeng Lu

    (School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049, China
    State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Xiwen Li

    (Haikou Marine Geological Survey Center, China Geological Survey, Haikou 570100, China)

  • Huaizhao Ruan

    (Hefei Zhongzhi Software Co., Ltd., Hefei 230031, China)

  • Feng Gao

    (Shenzhen Natural Resources and Real Estate Assessment and Development Research Center, Shenzhen 518034, China)

  • Shiwei Shao

    (Hefei Zhongzhi Software Co., Ltd., Hefei 230031, China
    These authors contributed equally to this work.)

  • Ying Sun

    (School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049, China)

  • Yanru Liu

    (School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049, China)

  • Jing Li

    (School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049, China)

Abstract

With the development of the urban economy and population growth, the demand for urban construction land continues to rise. Addressing the challenges of land protection and ecological security calls for the exploration of new approaches. This study emphasizes a sustainable solution by emphasizing in-depth exploration of existing land resources, moving away from the traditional “expanding the pie” model of urban development. Specifically, we selected land parcels in Shenzhen city from 2010 to 2020 that met the criteria for urban renewal and transformation as evaluation units, further categorized into residential, industrial, and commercial land for transformation. From multiple perspectives, including geological conditions, building conditions, agglomeration, social factors, and the degree of completeness of public facilities, we constructed an evaluation system comprising 23 indicators to quantify the potential for urban renewal of these units. Through the AET (AHP-EWM-TOPSIS) model analysis for assessing the potential of urban renewal and transformation, we classified the transformation parcels into different potential levels based on the optimized solutions from the model. Finally, we validated the results using the planned land units implemented in Shenzhen from 2010 to 2020, achieving an accuracy of 81% in matching the spatial distribution of potential levels with the actual situation. The comprehensive evaluation results from the model provide a basis for optimizing and enhancing sustainable urban renewal. This research contributes to the formulation of informed decisions and strategic urban development planning, enabling a more cautious and resource-efficient approach to address the challenges of urban expansion.

Suggested Citation

  • Kaizhong Yao & Yuefeng Lu & Xiwen Li & Huaizhao Ruan & Feng Gao & Shiwei Shao & Ying Sun & Yanru Liu & Jing Li, 2023. "Evaluating and Analyzing Urban Renewal and Transformation Potential Based on AET Models: A Case Study of Shenzhen City," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13528-:d:1236829
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13528/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/18/13528/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lawrence J. Vale, 2018. "Cities of stars: urban renewal, public housing regeneration, and the community empowerment possibility of governance constellations," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 22(4), pages 431-460, October.
    2. Manganelli, Benedetto & Tataranna, Sabina & Pontrandolfi, Piergiuseppe, 2020. "A model to support the decision-making in urban regeneration," Land Use Policy, Elsevier, vol. 99(C).
    3. Le Zhang & Xiaoxiao Xu & Yanlong Guo, 2022. "Comprehensive Evaluation of the Implementation Effect of Commercial Street Quality Improvement Based on AHP-Entropy Weight Method—Taking Hefei Shuanggang Old Street as an Example," Land, MDPI, vol. 11(11), pages 1-19, November.
    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. Figueiredo, Yohani Dominik dos Santos & Prim, Marcia Aparecida & Dandolini, Gertrudes Aparecida, 2022. "Urban regeneration in the light of social innovation: A systematic integrative literature review," Land Use Policy, Elsevier, vol. 113(C).
    2. repec:eur:ejserj:622 is not listed on IDEAS
    3. Fangyun Xie & Guiwen Liu & Taozhi Zhuang, 2021. "A Comprehensive Review of Urban Regeneration Governance for Developing Appropriate Governance Arrangements," Land, MDPI, vol. 10(5), pages 1-28, May.
    4. Zhen Liu & Ziyuan Chi & Mohamed Osmani & Peter Demian, 2021. "Blockchain and Building Information Management (BIM) for Sustainable Building Development within the Context of Smart Cities," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    5. Yun-Myong Yi & Tae-Hyoung Tommy Gim, 2018. "What Makes an Old Market Sustainable? An Empirical Analysis on the Economic and Leisure Performances of Traditional Retail Markets in Seoul," Sustainability, MDPI, vol. 10(6), pages 1-22, May.
    6. Zheng, Wei-Quan & Cheung, Sze-Man & Zhu, Bo-Wei & Xiong, Lei & Tzeng, Gwo-Hshiung, 2024. "A hybrid multi-attribute decision-making model for the systematic evaluation of exoticism-themed retail spaces from the perspective of consumer experience," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    7. Lak, Azadeh & Sharifi, Ayyoob & Khazaei, Mohsen & Aghamolaei, Reihaneh, 2021. "Towards a framework for driving sustainable urban regeneration with ecosystem services," Land Use Policy, Elsevier, vol. 111(C).
    8. Jue Wang & Yi Yang & Huan Huang & Fan Wang, 2022. "Stakeholder Management in Government-Led Urban Regeneration: A Case Study of the Eastern Suburbs in Chengdu, China," Sustainability, MDPI, vol. 14(7), pages 1-17, April.

    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:18:p:13528-:d:1236829. 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.