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
Link To Document