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Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

Research Article

Research on the Development Trend of Guanghan Railway Freight Transport Based on GM (1,1) Model

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342669,
        author={Huiyang  Chen},
        title={Research on the Development Trend of Guanghan Railway Freight Transport Based on GM (1,1) Model},
        proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2024},
        month={2},
        keywords={freight volume; influencing factors; gm (1 1) model},
        doi={10.4108/eai.17-11-2023.2342669}
    }
    
  • Huiyang Chen
    Year: 2024
    Research on the Development Trend of Guanghan Railway Freight Transport Based on GM (1,1) Model
    ICEMME
    EAI
    DOI: 10.4108/eai.17-11-2023.2342669
Huiyang Chen1,*
  • 1: Southwest Jiaotong University
*Contact email: 523079465@qq.com

Abstract

Railway transportation occupies a leading position in our country's economic construction, especially the city plays an irreplaceable important role in the transportation of bulk goods and long-distance goods, is an important part of our economic development.In this paper, the development trend of freight transport in Guanghan railway station is taken as the research object. Firstly, the advantages and influencing factors of the development of freight transport in Guanghan railway station are analyzed, and then the GM (1,1) model is used to forecast the 2023-20272027, the residual analysis shows that the average relative error is 0.99% , less than 1% , which indicates that the prediction result is effective. Finally, on this basis, the paper puts forward the relevant countermeasures and suggestions for the key influencing factors of the development trend of Guanghan freight station.

Keywords
freight volume; influencing factors; gm (1 1) model
Published
2024-02-27
Publisher
EAI
http://dx.doi.org/10.4108/eai.17-11-2023.2342669
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