• DocumentCode
    675023
  • Title

    Development prediction of modern logistics industry in Henan province and its dynamic analysis

  • Author

    Yimin Huang ; Hongwei Liu ; Ershi Qi ; Qiuxiang Li

  • Author_Institution
    Coll. of Manage. & Econ., Tianjin Univ., Tianjin, China
  • fYear
    2013
  • fDate
    15-17 Nov. 2013
  • Firstpage
    194
  • Lastpage
    199
  • Abstract
    In order to scientific grasp the characteristics and trend of the logistics industry development in Henan province, in this paper, we have constructed a group of grey predictive model and a group of buffer operator model of the logistics industry in Henan province and have made comparative analysis of model predictive accuracy, and done the dynamic analysis of the logistics industry development, selecting high predictive accuracy models to forecast the future development trend of logistics industry in the next ten years. Results show that the modern logistics industry in Henan province has been a steady growth in overall, the main growth points of the logistics industry development in Henan province are roadway miles (km), roadway (one hundred million ton/km), freight turnover (one hundred million ton/km) and waterway(one hundred million ton), and the growth points for the future development of logistics industry in Henan province are the roadway freight volume, roadway passenger volume and waterway freight volume.
  • Keywords
    economics; forecasting theory; grey systems; logistics; transportation; Henan province; buffer operator model; dynamic analysis; freight turnover; grey predictive model; modern logistics industry development prediction; roadway freight volume; roadway miles; roadway passenger volume; waterway freight volume; Accuracy; Analytical models; Economics; Industries; Logistics; Predictive models; Rail transportation; Henan province; dynamic analysis; logistic; prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2013 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2166-9430
  • Print_ISBN
    978-1-4673-5247-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2013.6714764
  • Filename
    6714764