IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i10p6143-d818487.html
   My bibliography  Save this article

Green Construction Grade Evaluation of Large Channels Based on Uncertain AHP-Multidimensional Cloud Model

Author

Listed:
  • Qiang Ma

    (Construction Administration of the Second Phase Project of Zhaokou Irrigation District of the Yellow River in Henan Province, Kaifeng 475000, China)

  • Linfang Lu

    (Construction Administration of the Second Phase Project of Zhaokou Irrigation District of the Yellow River in Henan Province, Kaifeng 475000, China)

  • Qingfu Li

    (School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Zhipeng Wang

    (School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450001, China)

Abstract

(1) Background. With the increasing national investment in infrastructure in recent years, water conservancy construction has been developed rapidly, which has greatly improved people’s living standards, but at the same time, the damage to the environment and the waste of resources caused by construction is becoming more and more obvious. In the prospect of sustainable development, the application of a complete set of green construction evaluation system is imminent. (2) Methods. This paper takes the green construction of large channels as the research object, takes the Green Building Evaluation Standard (GB/T 50378-2019) as the guideline, takes the control items of “safety and durability, health and comfort, resource saving, environmental livability, improvement and innovation” in the Standard as the construction reference system, and combines the construction characteristics of water conservancy projects. It determines the evaluation index and carries out green construction grade evaluation by uncertain AHP (hierarchical analysis)-multidimensional cloud model. (3) Results. The green construction grade evaluation of large channels was carried out with the example, and the final green construction grade evaluation result of “three stars” was obtained. (4) Conclusions. The evaluation results are consistent with the traditional AHP (hierarchical analysis)-cloud model, but the evaluation model proposed in this paper takes into account the fuzziness, randomness and correlation among the evaluation factors, which is more in line with the actual situation. It plays a guiding role for the green construction of large channels.

Suggested Citation

  • Qiang Ma & Linfang Lu & Qingfu Li & Zhipeng Wang, 2022. "Green Construction Grade Evaluation of Large Channels Based on Uncertain AHP-Multidimensional Cloud Model," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6143-:d:818487
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/10/6143/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/10/6143/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ying Sun & Jianzhong Xu, 2021. "Evaluation Model and Empirical Research on the Green Innovation Capability of Manufacturing Enterprises from the Perspective of Ecological Niche," Sustainability, MDPI, vol. 13(21), pages 1-21, October.
    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. Yongmao Xiao & Renqing Zhao & Wei Yan & Xiaoyong Zhu, 2022. "Analysis and Evaluation of Energy Consumption and Carbon Emission Levels of Products Produced by Different Kinds of Equipment Based on Green Development Concept," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    2. Tingting Li & Dan Zhao & Guiyun Liu & Yuhong Wang, 2022. "How to Evaluate College Students’ Green Innovation Ability—A Method Combining BWM and Modified Fuzzy TOPSIS," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    3. Yanna Zhu & Gang He & Keyu Bao, 2022. "Driving Path and System Simulation of Green Innovation Capability of Science and Technology Enterprises in Yangtze River Delta," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    4. Hao Zhang & Xin Sun & Kailong Dong & Lianghui Sui & Min Wang & Qiong Hong, 2022. "Green Innovation in Regional Logistics: Level Evaluation and Spatial Analysis," IJERPH, MDPI, vol. 20(1), pages 1-20, December.
    5. Mengjuan Zhang & Mingxing Li & Hongzheng Sun & Fredrick Oteng Agyeman & Hira Salah ud din Khan & Zedong Zhang, 2022. "Investigation of Nexus between Knowledge Learning and Enterprise Green Innovation Based on Meta-Analysis with a Focus on China," Energies, MDPI, vol. 15(4), pages 1-22, February.
    6. Geraldo Cardoso de Oliveira Neto & Roberto Rodrigues Leite & Wagner Cezar Lucato & Rosangela Maria Vanalle & Marlene Amorim & João Carlos Oliveira Matias & Vikas Kumar, 2022. "Overcoming Barriers to the Implementation of Cleaner Production in Small Enterprises in the Mechanics Industry: Exploring Economic Gains and Contributions for Sustainable Development Goals," Sustainability, MDPI, vol. 14(5), pages 1-14, March.

    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:14:y:2022:i:10:p:6143-:d:818487. 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.