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

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      PLoS ONE
      Public Library of Science

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          Abstract

          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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          Most cited references43

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          Evolutionary Games in Economics

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            Product Differentiation and Market Segmentation as Alternative Marketing Strategies

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              Statistical mechanics in biology: how ubiquitous are long-range correlations?

              The purpose of this opening talk is to describe examples of recent progress in applying statistical mechanics to biological systems. We first briefly review several biological systems, and then focus on the fractal features characterized by the long-range correlations found recently in DNA sequences containing non-coding material. We discuss the evidence supporting the finding that for sequences containing only coding regions, there are no long-range correlations. We also discuss the recent finding that the exponent alpha characterizing the long-range correlations increases with evolution, and we discuss two related models, the insertion model and the insertion-deletion model, that may account for the presence of long-range correlations. Finally, we summarize the analysis of long-term data on human heartbeats (up to 10(4) heart beats) that supports the possibility that the successive increments in the cardiac beat-to-beat intervals of healthy subjects display scale-invariant, long-range "anti-correlations" (a tendency to beat faster is balanced by a tendency to beat slower later on). In contrast, for a group of subjects with severe heart disease, long-range correlations vanish. This finding suggests that the classical theory of homeostasis, according to which stable physiological processes seek to maintain "constancy," should be extended to account for this type of dynamical, far from equilibrium, behavior.
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                Author and article information

                Contributors
                Role: SupervisionRole: Writing – original draft
                Role: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Project administration
                Role: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                18 March 2022
                2022
                : 17
                : 3
                : e0256326
                Affiliations
                [001] College of Transportation Engineering, Central South University, Changsha, Hunan, China
                Institute for Advanced Sustainability Studies, GERMANY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Article
                PONE-D-20-19311
                10.1371/journal.pone.0256326
                8932592
                35302993
                2a2f2d63-252e-438e-826c-0c7f67861a53
                © 2022 Feng et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 29 October 2020
                : 5 August 2021
                Page count
                Figures: 10, Tables: 7, Pages: 24
                Funding
                Funded by: National Social Science Foundation of China railway Freight Freight Price Comparison between Countries along the Belt and Road Express
                Award ID: 18BJY169
                :National Social Science Foundation of China railway Freight Freight Price Comparison between Countries along the Belt and Road Express (18BJY169).
                Categories
                Research Article
                Engineering and Technology
                Transportation
                Physical Sciences
                Mathematics
                Applied Mathematics
                Game Theory
                Physical Sciences
                Mathematics
                Applied Mathematics
                Algorithms
                Evolutionary Algorithms
                Research and Analysis Methods
                Simulation and Modeling
                Algorithms
                Evolutionary Algorithms
                Research and Analysis Methods
                Computational Techniques
                Evolutionary Computation
                Evolutionary Algorithms
                Engineering and Technology
                Civil Engineering
                Transportation Infrastructure
                Roads
                Engineering and Technology
                Transportation
                Transportation Infrastructure
                Roads
                Social Sciences
                Sociology
                Communications
                Marketing
                Social Sciences
                Economics
                Social Sciences
                Economics
                Finance
                Engineering and Technology
                Energy and Power
                Fuels
                Physical Sciences
                Materials Science
                Materials
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                Custom metadata
                The minimal data set underlying this study is located within the Supporting Information. The original raw data underlying this study cannot be shared publicly because of confidentiality requirements for research contracts. Data are available from the National Railway Administration for researchers who meet the criteria for access to confidential data. Data access requests can be sent to leesican@ 123456163.com \Doc LI.+86010-51899449.

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