Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

June 13, 2023


Pages


DOI

Article

Railroad freight service quality evaluation system based on a logistic regression model


Authors

Zheng Zhao Affiliation:
Chengdu Industrial Vocational Technology College College of Rail Transportation, Chengdu, 610000, China


Abstract

Scientific evaluation of railroad freight service quality is important to adapt to the development demand of railroad freight under the new situation, improve the quality of railroad freight service and promote the quantity of railroad freight. In this paper, we analyze and summarize the current situation of freight service quality management standards and service quality evaluation at home and abroad, combine the development history of China’s railroad freight service and business process situation, put forward the current problems of railroad freight service quality, establish a comprehensive evaluation system of railroad freight service quality based on Logistic regression model, introduce the concept of customer perception into the evaluation of railroad freight service quality, construct a railroad freight service quality customer satisfaction evaluation model, establish a quantitative model of railroad freight service quality evaluation, build a railroad freight service quality customer satisfaction index evaluation system, according to the establishment of a comprehensive index evaluation table, it can realize the customer satisfaction index evaluation of railroad freight stations and freight products at the level of head office, railroad bureau and customers, and put forward opinions and suggestions to improve the quality of railroad freight service.


Keywords

Logistic regression, Railroad freight transport, Service quality, Comprehensive evaluation, Quantitative model, 62J05


Citation

Zhao, Z. (2023). Railroad freight service quality evaluation system based on a logistic regression model. Applied Mathematics and Nonlinear Sciences, 8(1). https://doi.org/10.2478/amns.2023.1.00389
3 Total citations
0.35 FWCI
1 Recent citations
(2 years)
33 References
Open Access Yes
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