IDEAS home Printed from https://ideas.repec.org/a/hin/complx/1013861.html
   My bibliography  Save this article

Considering the Carbon Penalty Rates to Optimize the Urban Distribution Model in Time-Varying Network

Author

Listed:
  • Yuanyuan Ji
  • Shoufeng Ji
  • Tingting Ji
  • Fanlin Meng

Abstract

The existing urban distribution model does not consider both the environmental influence and time-varying factors. This paper studies the urban distribution optimization model considering both time-varying network factors and carbon emission factors and constructs the single period time-varying network urban distribution optimization model and cross-period time-varying network urban distribution optimization model. In this paper, the time-varying network in urban distribution is mathematically described and calculated. By considering the carbon penalty rate, the distribution optimization model is analyzed to formulate the optimal urban distribution scheme for enterprises. An improved variable neighborhood search (VNS) heuristic algorithm is designed to solve the model. The numerical example demonstrates that the higher the carbon emission cost, the greater the carbon penalty rate. When the carbon emission cost increases by 50%, the total cost of the distribution scheme considering carbon emission is saved by 1.21%. The numerical analysis also finds that only when the unit carbon emission cost is higher than 2.937, the carbon penalty rate will stimulate enterprises to reduce emissions.

Suggested Citation

  • Yuanyuan Ji & Shoufeng Ji & Tingting Ji & Fanlin Meng, 2022. "Considering the Carbon Penalty Rates to Optimize the Urban Distribution Model in Time-Varying Network," Complexity, Hindawi, vol. 2022, pages 1-17, June.
  • Handle: RePEc:hin:complx:1013861
    DOI: 10.1155/2022/1013861
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2022/1013861.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2022/1013861.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/1013861?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
    ---><---

    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:complx:1013861. 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.