<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Scientific evaluation of railroad freight service quality is important to adapt to the development demand of railroad freight under the new situation, improve...

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

Published Online: Jun 13, 2023

Page range: -

Received: Jul 27, 2022

Accepted: Dec 16, 2022

DOI: https://doi.org/10.2478/amns.2023.1.00389

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

© 2023 Zheng Zhao, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Published Online: Jun 13, 2023

Page range: -

Received: Jul 27, 2022

Accepted: Dec 16, 2022

DOI: https://doi.org/10.2478/amns.2023.1.00389

KeywordsLogistic regression, Railroad freight transport, Service quality, Comprehensive evaluation, Quantitative model

© 2023 Zheng Zhao, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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