Proceedings of the 2017 International Conference on Society Science (ICoSS 2017)

Research on Express Demand Forecasting of Beijing

Authors
Sihua Wu
Corresponding Author
Sihua Wu
Available Online April 2017.
DOI
10.2991/icoss-17.2017.8How to use a DOI?
Keywords
Express; Demand forecasting; Logistic model; Grey prediction model; Beijing
Abstract

With the development of the national economy and the promotion of electronic commerce, as an important part of the logistics industry, express industry has become an important part of the national economy. This article gets Express traffic in Beijing through access to information and analyzes the influencing factors. Comparing characteristics of trend extrapolation, Marco forecasting method and gray model forecasting method, this article predicts the demand for express delivery business in Beijing by trend extrapolation and gray model forecasting method.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 International Conference on Society Science (ICoSS 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2017
ISBN
978-94-6252-339-5
ISSN
2352-5398
DOI
10.2991/icoss-17.2017.8How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Sihua Wu
PY  - 2017/04
DA  - 2017/04
TI  - Research on Express Demand Forecasting of Beijing
BT  - Proceedings of the 2017 International Conference on Society Science (ICoSS 2017)
PB  - Atlantis Press
SP  - 40
EP  - 43
SN  - 2352-5398
UR  - https://doi.org/10.2991/icoss-17.2017.8
DO  - 10.2991/icoss-17.2017.8
ID  - Wu2017/04
ER  -