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
Link To Document :
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