Scholarlink

This article conducted a study on the demand for road logistics in Wuhan city based on the grey prediction model. Firstly, data analysis was carried out on the current situation of road logistics demand in Wuhan, including freight volume of road, railway and air cargo. Then, the GM (1,1) model in grey prediction was introduced. Finally, combining with the economic development situation and statistical yearbook data of Wuhan city, as well as the advantages of the GM (1,1) model, the model was used to predict the freight volume in Wuhan city and put forward measures and strategies for the development of Wuhan's logistics industry.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Wuhan Highway Logistics Demand Forecast Based on Gray Prediction Model

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Xinrui Du,
  • Xudong Deng,
  • Yong Wang

摘要

This article conducted a study on the demand for road logistics in Wuhan city based on the grey prediction model. Firstly, data analysis was carried out on the current situation of road logistics demand in Wuhan, including freight volume of road, railway and air cargo. Then, the GM (1,1) model in grey prediction was introduced. Finally, combining with the economic development situation and statistical yearbook data of Wuhan city, as well as the advantages of the GM (1,1) model, the model was used to predict the freight volume in Wuhan city and put forward measures and strategies for the development of Wuhan's logistics industry.