IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/2043019.html
   My bibliography  Save this article

Large-Scale and Refined Green Space Identification-Based Sustainable Urban Renewal Mode Assessment

Author

Listed:
  • Rong Guo
  • Xiaoya Song
  • Peiran Li
  • Guangming Wu
  • Zhiling Guo

Abstract

Urban sustainable renewal has received extensive attention in a wide range of fields, including urban planning, urban management, energy management, and transportation. Given that environmental resource conservation is critical to urban sustainability renewal, this study highlighted the imbalance among green space, urban development, and transportation accessibility. Here, a novel node-place-green model is presented to measure sustainable urban development; meanwhile, deep learning is utilized to identify and extract the green space to measure the environmental index. Based on the generated node, place, and green value, urban developing status could be classified into nine modes for further analysis of transportation, urban function, and ecological construction. The experimental results of Harbin reveal the feasibility of the proposed method in providing specific guidelines for urban planning and policies on sustainable development.

Suggested Citation

  • Rong Guo & Xiaoya Song & Peiran Li & Guangming Wu & Zhiling Guo, 2020. "Large-Scale and Refined Green Space Identification-Based Sustainable Urban Renewal Mode Assessment," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-12, September.
  • Handle: RePEc:hin:jnlmpe:2043019
    DOI: 10.1155/2020/2043019
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2020/2043019.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2020/2043019.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2020/2043019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chang Wang & Siyuan Wang & Yilun Cao & Haojun Yan & Yunyuan Li, 2023. "The Social Equity of Urban Parks in High-Density Urban Areas: A Case Study in the Core Area of Beijing," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    2. Lee, Chien-Chiang & Wang, Fuhao & Chang, Yu-Fang, 2023. "Towards net-zero emissions: Can green bond policy promote green innovation and green space?," Energy Economics, Elsevier, vol. 121(C).
    3. Aleksandra Jadach-Sepioło & Katarzyna Olejniczak-Szuster & Michał Dziadkiewicz, 2021. "Does Environment Matter in Smart Revitalization Strategies? Management towards Sustainable Urban Regeneration Programs in Poland," Energies, MDPI, vol. 14(15), pages 1-16, July.

    More about this item

    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:hin:jnlmpe:2043019. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.