Research on Express Demand Forecasting of Beijing

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/).

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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  -