Please enter verification code
Confirm
Research on Logistics Demand Forecasting and Transportation Structure of Beijing Based on Grey Prediction Model
Science Journal of Applied Mathematics and Statistics
Volume 3, Issue 3, June 2015, Pages: 144-152
Received: Apr. 23, 2015; Accepted: May 6, 2015; Published: Jun. 1, 2015
Views 4375      Downloads 113
Authors
Jie Zhu, School of Information, Beijing Wuzi University, Beijing, China
Hong Zhang, School of Information, Beijing Wuzi University, Beijing, China
Li Zhou, School of Information, Beijing Wuzi University, Beijing, China
Article Tools
Follow on us
Abstract
This paper analyzes the present situation of Beijing logistics development, starting from the total economic output, economic structure, economic location and other aspects, basic economic situation of Beijing is analyzed. From the transportation infrastructure construction present situation, the current status of development of logistics industry, logistics enterprises are analyzed in terms of status and problems of Beijing logistics development; then further analysis of Beijing logistics development environment, all of these indicate that it is very necessary for Beijing logistics demand forecast. Using the econometric model to analyze and forecast the total demand analysis of Beijing logistics, discusses the influencing factors of Beijing logistics demand, thus the construction of index system of logistics demand forecast, and selects freight, freight turnover as a quantitative index to measure the total quantity of logistics demand, using the Eviews model and the analysis, obtains the Beijing logistics demand presents the fast growth to the situation in the future five years.
Keywords
Logistics Demand Forecasting, Econometric Model, The Grey Prediction Model
To cite this article
Jie Zhu, Hong Zhang, Li Zhou, Research on Logistics Demand Forecasting and Transportation Structure of Beijing Based on Grey Prediction Model, Science Journal of Applied Mathematics and Statistics. Vol. 3, No. 3, 2015, pp. 144-152. doi: 10.11648/j.sjams.20150303.17
References
[1]
Cai Xiaoli,Analysis and forecast of regional logistics demand [J]; logistics technology, 2004 (12)
[2]
Zhang Fengrong, Jin Junwu; the application of grey system model in the prediction of logistics amount of goods.[J]; 2003 (06) of industrial technology economy
[3]
Cao Mingxia; Study on the grey incidence analysis model and its application [D]; Nanjing University of Aeronautics & Astronautics 2007
[4]
Chen Changying. Research on analysis and forecast of logistics demand in Guangxi [D]; Wuhan University of Technology 2010
[5]
Zhang Lixue; Study on the prediction method of city logistics demand [D]; Southeast University; 2006
[6]
Sun Minwei, Shao Jianli; Study on the establishment of a modern logistics system of statistical indicators [J]; 2007 (20) of modern business
[7]
Gong Shusheng, Liu Kaiming; Analysis of the development situation of logistics in China [J] China circulation economy; 2003 (01).
[8]
Chandyan; Wang Wenke; Hunan Province logistics demand forecast [A]; "two types of social construction and management of" HunanInnovation Forum [C] 2008
[9]
Yang Fan; Analysis of the influence of Chinese modern logistics industry on regional economy [D]; Jilin University 2011
[10]
Zhao Qilan; Wang Jia Qiong; Liu Hongzhi; analysis of the logistics development needs and potential demand;[J]; China soft science 2004
[11]
Wang Xiaoyuan, Li Jun. The grey GM (1,1) model is applied to Forecasting Regional Logistics Scale, Journal of Wuhan University of Technology, 2005 (06)
[12]
Cai Dingping; logistics statistics [M] 2010.03
[13]
Chen Yana, Ju Songdong; regional logistics demand analysis -- Taking the Yangtze River Delta region of Nantong as an example [J]; Journal of Beijing Jiaotong University (SOCIAL SCIENCE EDITION) 2005 (04)
[14]
Cao Juan; the discussion on the construction of modern logistics system of statistical indicators of [J]; logistics engineering and management, 2010 (1)
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186