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Optimal competition strategy analysis of China Railway Express based on evolutionary game theory

In the context of the Belt and Road Initiative, China Railway Express achieved rapid development. Determining how to achieve effective marking and determining how to adopt the optimal competitive strategy are the main challenges for CR Express operators. By choosing long-distance transportation as t...

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Detalles Bibliográficos
Autores principales: Feng, Fenling, Li, Xiaojie, Liang, Junkai, Liu, Yang, Liu, Chengguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932592/
https://www.ncbi.nlm.nih.gov/pubmed/35302993
http://dx.doi.org/10.1371/journal.pone.0256326
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author Feng, Fenling
Li, Xiaojie
Liang, Junkai
Liu, Yang
Liu, Chengguang
author_facet Feng, Fenling
Li, Xiaojie
Liang, Junkai
Liu, Yang
Liu, Chengguang
author_sort Feng, Fenling
collection PubMed
description In the context of the Belt and Road Initiative, China Railway Express achieved rapid development. Determining how to achieve effective marking and determining how to adopt the optimal competitive strategy are the main challenges for CR Express operators. By choosing long-distance transportation as the research object, this research established a competitive model between CR Express and maritime transportation based on game theory. First, we determined the participants of this competition. By dividing common goods into the categories of high-value and high-time-sensitiveness, high-value and low-time-sensitiveness, low-value and high-time-sensitiveness, and low-value and low-time-sensitiveness, the model was used to simulate four situations and to obtain optimal strategies for operators. For CR Express, it was always effective to adopt a service optimizing strategy to improve the service level and earn market share. For maritime transportation, this strategy was effective only for high-value and low-time-sensitiveness goods as well as low value and low-time-sensitiveness goods. Therefore, transportation service suppliers should make competitive strategies based on different good types, and it is effective to use differentiation strategies to earn market share and improve competitiveness only for suitable types of goods.
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spelling pubmed-89325922022-03-19 Optimal competition strategy analysis of China Railway Express based on evolutionary game theory Feng, Fenling Li, Xiaojie Liang, Junkai Liu, Yang Liu, Chengguang PLoS One Research Article In the context of the Belt and Road Initiative, China Railway Express achieved rapid development. Determining how to achieve effective marking and determining how to adopt the optimal competitive strategy are the main challenges for CR Express operators. By choosing long-distance transportation as the research object, this research established a competitive model between CR Express and maritime transportation based on game theory. First, we determined the participants of this competition. By dividing common goods into the categories of high-value and high-time-sensitiveness, high-value and low-time-sensitiveness, low-value and high-time-sensitiveness, and low-value and low-time-sensitiveness, the model was used to simulate four situations and to obtain optimal strategies for operators. For CR Express, it was always effective to adopt a service optimizing strategy to improve the service level and earn market share. For maritime transportation, this strategy was effective only for high-value and low-time-sensitiveness goods as well as low value and low-time-sensitiveness goods. Therefore, transportation service suppliers should make competitive strategies based on different good types, and it is effective to use differentiation strategies to earn market share and improve competitiveness only for suitable types of goods. Public Library of Science 2022-03-18 /pmc/articles/PMC8932592/ /pubmed/35302993 http://dx.doi.org/10.1371/journal.pone.0256326 Text en © 2022 Feng et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Feng, Fenling
Li, Xiaojie
Liang, Junkai
Liu, Yang
Liu, Chengguang
Optimal competition strategy analysis of China Railway Express based on evolutionary game theory
title Optimal competition strategy analysis of China Railway Express based on evolutionary game theory
title_full Optimal competition strategy analysis of China Railway Express based on evolutionary game theory
title_fullStr Optimal competition strategy analysis of China Railway Express based on evolutionary game theory
title_full_unstemmed Optimal competition strategy analysis of China Railway Express based on evolutionary game theory
title_short Optimal competition strategy analysis of China Railway Express based on evolutionary game theory
title_sort optimal competition strategy analysis of china railway express based on evolutionary game theory
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932592/
https://www.ncbi.nlm.nih.gov/pubmed/35302993
http://dx.doi.org/10.1371/journal.pone.0256326
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