Research on Analysis and Forecast of Truck Market in China

DOI

10.2991/lemcs-15.2015.35How to use a DOI?

Keywords

Truck; Auto market prediction; Model

Abstract

For the modern enterprises, it is significant to develop production according to the market demand, and there is no exception to the auto companies. The article tries to establish a statistical model to predict the number of the truck ownership and provide references for truck manufacturers to make production plans. Thus, the situation of China’s truck market is introduced; the analysis of the overall trend of changes of the China’s truck market holdings is made; and the concept and classification of forecasting methods are introduced. For the prediction of the future of China’s truck market, researchers use quantitative and qualitative analysis, combining the advantages of both methods. Firstly, researchers find the relevant factors that affect laden car ownership through qualitative analysis. Secondly, on the further quantitative analysis, researchers determine main factors of the mileage of highways, infrastructure investment in fixed assets and amount of social consumption expenditure, etc. Thirdly, by the use of the above analysis results, multivariate regression model models are made, which is also the key part of the article. The last but not the least, analysis and comparison of the advantages and disadvantages of model are made eventually

Copyright

© 2015, 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  - Xingfeng Liu
AU  - Zhongxia Zheng
AU  - Tiansong Zhou
PY  - 2015/07
DA  - 2015/07
TI  - Research on Analysis and Forecast of Truck Market in China
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 177
EP  - 185
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.35
DO  - 10.2991/lemcs-15.2015.35
ID  - Liu2015/07
ER  -