• DocumentCode
    479717
  • Title

    Study on logistics demand prediction of Beijing exurbs based on improved grey prediction model

  • Author

    Huang, Jingyun ; Ji, Shouwen ; Wang, Xiaohua ; Wang, Wei

  • Author_Institution
    Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1371
  • Lastpage
    1376
  • Abstract
    With the sustainable development of economy, Beijing logistics industry develops fast. At the same time, the logistics demand of Beijing exurbs grows continuously, and it brings an opportunity for the logistics development of exurbs. Based on the analysis of the logistics development status and logistics demand of the Beijing exurbs, using gray model for quantitative prediction is put forward in the paper. Then a new initial value grey increment model of Beijing exurbs is established, and Huairou district is taken for example to make real example analysis. The result of real example analysis shows that gray model is efficient for a mid-short term prediction of logistics volume, which will provide forceful evidence for planning logistics development of Beijing exurbs.
  • Keywords
    grey systems; logistics; sustainable development; Beijing; grey prediction model; logistics demand prediction; logistics industry; sustainable development; Aerospace industry; Construction industry; Economic forecasting; Economic indicators; Industrial economics; Logistics; Manufacturing industries; Modems; Predictive models; Sustainable development; Beijing exurbs; Logistics demand; New initial value grey increment mode;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2012-4
  • Electronic_ISBN
    978-1-4244-2013-1
  • Type

    conf

  • DOI
    10.1109/SOLI.2008.4686614
  • Filename
    4686614