Science Journal of Applied Mathematics and Statistics

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Research on Logistics Demand Forecasting and Transportation Structure of Beijing Based on Grey Prediction Model

Received: 23 April 2015    Accepted: 06 May 2015    Published: 01 June 2015
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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.

DOI 10.11648/j.sjams.20150303.17
Published in Science Journal of Applied Mathematics and Statistics (Volume 3, Issue 3, June 2015)
Page(s) 144-152
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Logistics Demand Forecasting, Econometric Model, The Grey Prediction Model

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)
Author Information
  • School of Information, Beijing Wuzi University, Beijing, China

  • School of Information, Beijing Wuzi University, Beijing, China

  • School of Information, Beijing Wuzi University, Beijing, China

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  • APA Style

    Jie Zhu, Hong Zhang, Li Zhou. (2015). Research on Logistics Demand Forecasting and Transportation Structure of Beijing Based on Grey Prediction Model. Science Journal of Applied Mathematics and Statistics, 3(3), 144-152. https://doi.org/10.11648/j.sjams.20150303.17

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    ACS Style

    Jie Zhu; Hong Zhang; Li Zhou. Research on Logistics Demand Forecasting and Transportation Structure of Beijing Based on Grey Prediction Model. Sci. J. Appl. Math. Stat. 2015, 3(3), 144-152. doi: 10.11648/j.sjams.20150303.17

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    AMA Style

    Jie Zhu, Hong Zhang, Li Zhou. Research on Logistics Demand Forecasting and Transportation Structure of Beijing Based on Grey Prediction Model. Sci J Appl Math Stat. 2015;3(3):144-152. doi: 10.11648/j.sjams.20150303.17

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  • @article{10.11648/j.sjams.20150303.17,
      author = {Jie Zhu and Hong Zhang and Li Zhou},
      title = {Research on Logistics Demand Forecasting and Transportation Structure of Beijing Based on Grey Prediction Model},
      journal = {Science Journal of Applied Mathematics and Statistics},
      volume = {3},
      number = {3},
      pages = {144-152},
      doi = {10.11648/j.sjams.20150303.17},
      url = {https://doi.org/10.11648/j.sjams.20150303.17},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.sjams.20150303.17},
      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.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Research on Logistics Demand Forecasting and Transportation Structure of Beijing Based on Grey Prediction Model
    AU  - Jie Zhu
    AU  - Hong Zhang
    AU  - Li Zhou
    Y1  - 2015/06/01
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    DO  - 10.11648/j.sjams.20150303.17
    T2  - Science Journal of Applied Mathematics and Statistics
    JF  - Science Journal of Applied Mathematics and Statistics
    JO  - Science Journal of Applied Mathematics and Statistics
    SP  - 144
    EP  - 152
    PB  - Science Publishing Group
    SN  - 2376-9513
    UR  - https://doi.org/10.11648/j.sjams.20150303.17
    AB  - 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.
    VL  - 3
    IS  - 3
    ER  - 

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