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.
Int J Environ Res Public Health. 2022 Nov 15;19(22):15031. doi: 10.3390/ijerph192215031.
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.
随着碳交易的逐步普及，个体碳排放行为将带来碳成本，这将对网络货运平台承运司机产生重大影响。因此，为了提高网络货运平台的稳定性，本文考虑了网络货运承运人的利益分配公平性，旨在通过降低网络货运平台承运人群体的相对剥夺感，更大程度地抵消碳成本的影响，最终实现网络货运的良性运行。本文引入了贡献值、期望实现度和相对剥夺感等多个指标，建立了以相对剥夺感为导向的动态利益分配优化模型。基于问题的基本特征，对蚁群劳动分工模型进行了扩展，并设计了相应的算法来解决问题。通过引入贡献值、贡献率和期望回报来重置环境的激励值和代理的响应阈值，利用相对剥夺感来量化利益分配不公平的程度，以此作为基准，动态协调承运人群体的利益分配，优化利益分配方案。实验结果表明，本文设计的扩展模型和算法可以在低成本的情况下显著降低网络货运平台承运人群体的相对剥夺感。
