Research on Analysis and Forecast of Truck Market in China
- https://doi.org/10.2991/lemcs-15.2015.35How to use a DOI?
- Truck; Auto market prediction; Model
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
- © 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/).
Cite this article
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 - https://doi.org/10.2991/lemcs-15.2015.35 ID - Liu2015/07 ER -