Research on Feight Volume Prediction in Sichuan and Chongqing based on Multiple Regression and Exponential Smoothing Method
DOI:
https://doi.org/10.54097/5l0uk2x7Keywords:
Freight volume; Regression analysis; Time series analysis; Forecast.Abstract
As the starting point of the national "One Belt One Road" development and the important economic belt of the Yangtze River in the central and western regions of the country, the Sichuan-Chongqing region is of great significance to study the influencing factors of its logistics. Freight volume is an important indicator for measuring the level of logistics development in a country or region. This article will use SPSS software to analyze the freight volume data of Sichuan-Chongqing region from 2005 to 2019, and use the quadratic exponential smoothing method to model. It is predicted that the freight volume of Sichuan-Chongqing region will continue to grow in the next five years, with a growth rate of approximately Is 5%. In 2024, the freight volume in Sichuan and Chongqing will reach 3.6 billion tons.
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