A Study on Influencing Factors of Railway Freight Volume Based on Grey Relational Analysis and Decision Support
DOI:
https://doi.org/10.64229/828ce164Keywords:
Grey Correlation Analysis, Railway Freight Volume, Railway Freight EfficiencyAbstract
The aim of this study is to explore the influencing factors of railroad freight volume and their degree of association through gray correlation analysis method to provide decision support for railroad freight management and planning. First, data on railroad freight volume and data on possible influencing factors were collected from 2013 to 2022. Subsequently, gray correlation analysis was used to analyze and calculate the connection between each influencing factor and freight volume, and the degree of association of each factor on freight volume was derived. The results of the study show that among the selected influencing factors, there is a strong correlation between the number of people employed in the railroad transportation industry and the freight volume, and these factors may have an important impact on the volume of railroad freight. Through the analysis in this study, we identified specific influencing factors with high correlation and proposed corresponding improvement measures, such as suggestions for policy adjustment, investment increase or optimal resource allocation for certain factors.
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Copyright (c) 2025 Guangxin Wang, Hanwen Zhang (Author)
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