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

Changbing Jiang1,2, Jiaming Xu2, Shufang Li3

  • 1Modern 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.

International Journal of Environmental Research and Public Health
|November 26, 2022
PubMed
Summary
This summary is machine-generated.

Carbon trading introduces costs for freight drivers. This study optimizes benefit distribution on freight platforms to reduce unfairness and improve stability, minimizing costs associated with carbon emissions.

Keywords:
distribution of benefitsdivision of labordivision of labor in ant coloniesnetwork freightrelative deprivation

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Area of Science:

  • Operations Research
  • Environmental Economics
  • Transportation Logistics

Background:

  • Carbon trading policies increasingly impact industries, including freight transportation.
  • Individual carbon emission behaviors incur costs, affecting network freight platform carrier drivers.
  • Ensuring fairness in benefit distribution is crucial for the stability of online freight platforms.

Purpose of the Study:

  • To develop a dynamic benefit distribution optimization model for network freight platforms.
  • To mitigate the impact of carbon costs by reducing relative deprivation among carrier groups.
  • To enhance the stable and benign operation of the online freight ecosystem.

Main Methods:

  • Introduction of key indicators: contribution value, expectation realization degree, and relative deprivation feeling.
  • Extension of the ant colony labor division model to address benefit distribution challenges.
  • Development of a dynamic optimization model oriented by relative deprivation, using contribution value and expected return to adjust agent behavior.

Main Results:

  • The proposed extended model and algorithm effectively reduce relative deprivation perception within the carrier group.
  • The optimization strategy achieves significant reductions in perceived unfairness at a low cost.
  • The model demonstrates a viable approach to coordinating benefit distribution in response to carbon costs.

Conclusions:

  • Fair benefit distribution is key to managing carbon cost impacts in freight platforms.
  • Optimizing distribution schemes based on relative deprivation can improve platform stability.
  • The developed ant colony-based model offers an effective solution for dynamic benefit coordination in online freight.