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Profit Allocation Problem and Algorithm of Network Freight Platform under Carbon Trading Background

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  • Changbing Jiang

    (Modern Business Research Center of Zhejiang Gongshang University, Key Research Institute of Humanities and Social Sciences for Universities, Ministry of Education of China, Hangzhou 310018, China
    School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Jiaming Xu

    (School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Shufang Li

    (School of Accounting and Finance, Zhejiang Vocational College of Commerce, Hangzhou 310053, China)

  • Yulian Fei

    (School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Yao Wu

    (School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China)

Abstract

With the gradual popularization of carbon trading, individual carbon emission behavior will come with carbon costs, which will have a significant impact on the network freight platform carrier drivers. Therefore, in order to improve the stability within the network freight platform, this paper considers the fairness of benefit distribution among network freight carriers and aims to offset the impact of carbon cost to a greater extent by reducing the relative deprivation of the network freight platform carrier group, so as to finally realize the benign operation of network freight. This paper introduces a number of indicators such as contribution value, expectation realization degree, and relative deprivation feeling, and establishes a dynamic benefit distribution optimization model oriented by relative deprivation feeling. Based on the basic characteristics of the problem, the ant colony labor division model is extended, and the corresponding algorithm is designed to solve the problem. By introducing the contribution value, contribution rate and expected return to reset the stimulus value of the environment and the response threshold of agent, the relative deprivation sense is used to quantify the degree of unfair benefit distribution, which is used as a benchmark to dynamically coordinate the benefit distribution of the carrier group and optimize the benefit distribution scheme. The experimental results show that the extended model and algorithm designed in this paper can significantly reduce the relative deprivation perception of the carrier group in the online freight platform at a low cost.

Suggested Citation

  • Changbing Jiang & Jiaming Xu & Shufang Li & Yulian Fei & Yao Wu, 2022. "Profit Allocation Problem and Algorithm of Network Freight Platform under Carbon Trading Background," IJERPH, MDPI, vol. 19(22), pages 1-23, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:15031-:d:973334
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    References listed on IDEAS

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