IDEAS home Printed from https://ideas.repec.org/a/ids/ijetma/v25y2022i1-2p95-107.html
   My bibliography  Save this article

Quantitative evaluation of landscape architecture environmental benefits based on multi-criteria decision-making

Author

Listed:
  • Shuhua Wang

Abstract

Aiming at the problems of large spatial accuracy error and long evaluation time in the quantitative evaluation of environmental benefits of landscape architecture, a new research method for quantitative evaluation of environmental benefits of landscape architecture is proposed. The grey relational analysis method is used to calculate the weights of environmental benefit evaluation indexes and establish an evaluation index system. The multi-dimensional decision-making method is applied to the construction of the environmental benefit decision matrix. After the index weights are clarified, the weighted decision matrix is established to calculate the distance of the standard solutions of different environmental benefit evaluation indexes to obtain the quantitative assessment results of environmental benefits. Comparative experiments show that the spatial accuracy error is no more than 4%, the change curve of the environmental benefit evaluation index is relatively close to the average change curve, and the benefit evaluation time is less than 2 s.

Suggested Citation

  • Shuhua Wang, 2022. "Quantitative evaluation of landscape architecture environmental benefits based on multi-criteria decision-making," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 25(1/2), pages 95-107.
    • Handle: RePEc:ids:ijetma:v:25:y:2022:i:1/2:p:95-107
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=120728
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijetma:v:25:y:2022:i:1/2:p:95-107. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=11 .

    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.