Freight Demand Analysis 

Shuang LIU 

School of Economics and Management, Chongqing Jiaotong University, Chongqing, CHINA 

Abstract: In the current, the level of China's economic development is still lagging behind and urban devel-opment is not balanced in all aspects of the situation, so Urban logistics demand analysis has an important so-cial and economic significance. In this paper, we use multiple linear regression forecasting method, exponen-tial smoothing forecasting method and grey forecasting method to forecast the changing trend of freight vo-lume from 2000 to 2014. By comparing three kinds of forecasting methods, the forecasting accuracy is sorted as follow: multiple linear regression forecasting method > grey prediction method > exponential smoothing method. 

Keywords: Freight demand analysis; Multiple regression; Exponential smoothing; Grey prediction