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

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.

Tripartite Evolutionary Game Analysis of a Logistics Service Supply Chain Cooperation Mechanism for Network Freight Platforms

“…First, relatively little research has been conducted on the dynamic evolution characteristics of participants' behaviors under the network freight logistics model. Most researchers focus on the static behavioral strategies of online freight participants, which means that their strategic behavior remains unchanged; for instance, Jiang et al studied the problem of proft redistribution among driver groups in network freight platforms [20]. However, in reality, such participants often dynamically adjust their behavioral patterns.…”

“…Tird, in the research on network freight platform behavioral strategies, most scholars have focused on the relationship between shippers and carriers [29], as well as that between platforms and carriers [19,20], while there is relatively little research on the mutual infuence among the three.…”

“…Representative literature Operating mechanism and behavioral evolution characteristics [3,18] Freight order allocation and proft distribution issues [19][20][21] Service matching, vehicle selection, and transportation capacity optimization [9,12,22] Pricing strategy and tax issues [10,11] through the platform does not meet their expected level, it afects shippers' subsequent use of the platform. In addition, the platform should always be vigilant against customer "jump-dealing" (In many studies in the feld of e-commerce, "showrooming" or "window shopping" are terms used to denote the behavior of two parties in a multiparty transaction who directly transact by conspiring to bypass a third party.…”

Promoting higher quality development of network freight platforms: A blockchain-based financial service model for upstream and downstream integration

“…It includes three roles: the seller shipper, the network freight platform (carrier in charge), and the actual carrier. Both the upstream shipper and the downstream actual carrier suffer from long account periods and difficulties in financing [3,4]. However, the advantages of blockchain technology, such as decentralisation, traceability and tamper-proofing, offer a completely new solution.…”