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      A Theory Approach towards Tradable Rail Freight Option

      1 , 1 , 1 , 1 , 2 , 1 , 3
      Discrete Dynamics in Nature and Society
      Hindawi Limited

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          Abstract

          For railway freight pricing, this paper proposes a new tradable rail freight option (RFO). A multiphase trigeminal tree pricing model is established to analyze the optimal pricing decision of RFO. The main parameters of the model are identified theoretically through nonparametric Ito stochastic approach. The paper expands the theory of railway freight pricing. The aim of this paper is to construct the railway freight option theory to help railway transportation enterprise cope with fierce competition and challenge from other modes of transportation in China. The most significant feature of this method is its simplicity in analyzing the optimal pricing decision using only the algebraic category and Ito’s lemma.

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          Most cited references3

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          A quantity flexibility contract model for a system with heterogeneous suppliers

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            A bidirectional option flexibility contract for emergency under stochastic price

            S. Lu (2019)
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              • Record: found
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              A research on the asymmetric growth of rail freight volume in China

              J. Zhan (2019)
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                Author and article information

                Contributors
                Journal
                Discrete Dynamics in Nature and Society
                Discrete Dynamics in Nature and Society
                Hindawi Limited
                1607-887X
                1026-0226
                March 8 2021
                March 8 2021
                : 2021
                : 1-11
                Affiliations
                [1 ]School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, China
                [2 ]University of Leeds, Leeds LS2 9JT, UK
                [3 ]School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
                Article
                10.1155/2021/6661425
                387a33fd-30f4-48a0-824a-605f41dbca45
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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