IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/2413459.html
   My bibliography  Save this article

Urban Regional Logistics Distribution Path Planning Considering Road Characteristics

Author

Listed:
  • Chuanxiang Ren
  • Xiaoqi Wang
  • Ge Gao
  • Juntao Li

Abstract

Generally, road characteristics (such as the longitudinal slope and pavement damage) have an important effect on logistics distribution path, not only the vehicle fuel economy and driving safety but also the benefits and efficiency of logistics companies. It is necessary to explore the influence of road characteristics on logistics distribution path planning. First, a road characteristics evaluation value is defined to quantify road characteristics. With the application of analytic hierarchy process (AHP), the road characteristics evaluation index system with three criteria and eleven indices was built, and then the calculation of the road characteristics evaluation value is proposed based on the fuzzy comprehensive evaluation method. Secondly, a mathematical model of logistics distribution path planning is proposed, in which road characteristics and distance are comprehensively considered. Thirdly, an adaptive genetic algorithm (AGA) is presented with customized crossover operator for the solution of the mathematical model. Finally, through simulation by a real example, the influences of road characteristics and distance on the optimal distribution path are discussed, and the results show the model considering the road characteristics and distance comprehensively achieves superior distribution paths to that considering the distance or road characteristics only.

Suggested Citation

  • Chuanxiang Ren & Xiaoqi Wang & Ge Gao & Juntao Li, 2020. "Urban Regional Logistics Distribution Path Planning Considering Road Characteristics," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-15, June.
    • Handle: RePEc:hin:jnddns:2413459
    DOI: 10.1155/2020/2413459
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2020/2413459.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/DDNS/2020/2413459.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2020/2413459?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:jnddns:2413459. 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.