Customers’ preferences for freight service attributes of China Railway Express

Journal Article (2020)
Author(s)

L. Li (Southwest Jiaotong University, TU Delft - Transport and Planning)

J Rezaei (TU Delft - Transport and Logistics)

L.A. Tavasszy (TU Delft - Transport and Planning, TU Delft - Transport and Logistics)

B Wiegmans (TU Delft - Transport and Planning)

Jingwei Guo (Henan Polytechnic University)

Yinying Tang (Southwest Jiaotong University)

Qiyuan Peng (Southwest Jiaotong University)

Research Group
Transport and Logistics
Copyright
© 2020 L. Li, J. Rezaei, Lorant Tavasszy, B. Wiegmans, Jingwei Guo, Yinying Tang, Qiyuan Peng
DOI related publication
https://doi.org/10.1016/j.tra.2020.10.019
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 L. Li, J. Rezaei, Lorant Tavasszy, B. Wiegmans, Jingwei Guo, Yinying Tang, Qiyuan Peng
Research Group
Transport and Logistics
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
142
Pages (from-to)
225-236
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Abstract

China Railway Express (CRE) is one of the most important constituent parts of the Belt and Road Initiative. Freight demand analysis is fundamental as a basis for the operational strategy of CRE and the investment policy along the CRE-routes. Most of the existing relevant literature has focused on the organization of the train operations of CRE, with little research related to demand analysis. This paper contributes to filling this gap by estimating customers’ demand preferences for rail freight service attributes, by using a novel multi-criteria decision-analysis (MCDA) method namely Best-Worst Method (BWM). To this end, a BWM survey was conducted in China to capture customers’ preferences for the main attributes that define the transport service offered by CRE. Two variants of BWM, the linear and the Bayesian, are employed for the analysis. Reliability is suggested as the most important attribute for CRE to focus on, to gain customers. We also conduct a cluster analysis based on the results, which helps the CRE operator to identify homogeneous customer segments, and to optimize the use of CRE's resources with a differentiated pricing strategy.

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