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Research on Shared Logistics Decision Based on Evolutionary Game and Income Distribution

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  • Ziyu Chen

    (School of Modern Post, Beijing University of Posts and Telecommunications, Haidian District, Beijing 100876, China)

  • Jili Kong

    (School of Modern Post, Beijing University of Posts and Telecommunications, Haidian District, Beijing 100876, China)

Abstract

As a green, efficient, and feasible solution, logistics resource sharing has received increasing attention in urban last-mile delivery. Instability in cooperation and unequal income distribution are significant constraints to logistics resource sharing. In this paper, we investigate the logistics resource sharing decision-making process among express delivery companies. First, according to the characteristics of the express delivery companies, symmetric and asymmetric game models based on evolutionary game theory are proposed, respectively. We examine the express delivery company’s choice of strategy and the major determinants of collaboration. Then, we examine the income distribution problem for subjects sharing logistics resources and propose an improved Raiffa solution that takes enterprise scale into account. Finally, certain management insights are offered for the express delivery companies to support the realization of logistics resource sharing. The results show that the evolution direction of the model is influenced by the initial state, enterprise scale, income distribution coefficient, and default penalty coefficient. Furthermore, the improved Raiffa solution takes into account the asymmetry of resource contribution of participating subjects and is more reasonable.

Suggested Citation

  • Ziyu Chen & Jili Kong, 2023. "Research on Shared Logistics Decision Based on Evolutionary Game and Income Distribution," Sustainability, MDPI, vol. 15(11), pages 1-24, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8621-:d:1155900
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    References listed on IDEAS

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    1. Xiao-Hu Xing & Zhi-Hua Hu & Shu-Wen Wang & Wen-Ping Luo, 2020. "An Evolutionary Game Model to Study Manufacturers and Logistics Companies’ Behavior Strategies for Information Transparency in Cold Chains," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-18, April.
    2. Rivera, Liliana & Sheffi, Yossi & Knoppen, Desirée, 2016. "Logistics clusters: The impact of further agglomeration, training and firm size on collaboration and value added services," International Journal of Production Economics, Elsevier, vol. 179(C), pages 285-294.
    3. Jiekun Song & Xiaoping Ma & Rui Chen, 2021. "A Profit Distribution Model of Reverse Logistics Based on Fuzzy DEA Efficiency—Modified Shapley Value," Sustainability, MDPI, vol. 13(13), pages 1-20, June.
    4. Xiaofei Kou & Yanqi Zhang & Die Long & Xuanyu Liu & Liangliang Qie, 2022. "An Investigation of Multimodal Transport for Last Mile Delivery in Rural Areas," Sustainability, MDPI, vol. 14(3), pages 1-15, January.
    5. Fuqiang Lu & Liying Wang & Hualing Bi & Zichao Du & Suxin Wang, 2021. "An Improved Revenue Distribution Model for Logistics Service Supply Chain Considering Fairness Preference," Sustainability, MDPI, vol. 13(12), pages 1-30, June.
    6. Lin Zhou & Yanping Chen & Yi Jing & Youwei Jiang, 2021. "Evolutionary Game Analysis on Last Mile Delivery Resource Integration—Exploring the Behavioral Strategies between Logistics Service Providers, Property Service Companies and Customers," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    7. Kimms, A. & Kozeletskyi, I., 2016. "Core-based cost allocation in the cooperative traveling salesman problem," European Journal of Operational Research, Elsevier, vol. 248(3), pages 910-916.
    8. Arifovic, Jasmina & Hua Jiang, Janet & Xu, Yiping, 2013. "Experimental evidence of bank runs as pure coordination failures," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2446-2465.
    9. Lozano, S. & Moreno, P. & Adenso-Díaz, B. & Algaba, E., 2013. "Cooperative game theory approach to allocating benefits of horizontal cooperation," European Journal of Operational Research, Elsevier, vol. 229(2), pages 444-452.
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    Cited by:

    1. Idriss El-Thalji, 2024. "Exploring More Sustainable Offshore Logistics Scenarios Using Shared Resources: A Multi-Stakeholder Perspective," Logistics, MDPI, vol. 8(4), pages 1-15, October.
    2. Ling Cao & Jie Yin, 2023. "Research on Sharing Behavior Strategy of Cultural Heritage Institutions Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 15(13), pages 1-23, June.

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