Research on the Innovation of “Last Kilometer” Delivery Mode of Rural E-commerce in Henan-Based on Dynamic Path Planning Technology (GAT)
Keywords:
rural e-commerce, last-mile delivery, Graph Attention Network (GAT), dynamic path planning, rural revitalizationAbstract
This study proposes a dynamic path planning innovative solution based on Graph Attention Network (GAT) for the “last kilometer” delivery problem of rural e-commerce in Henan Province, by analyzing the bottlenecks such as complex geographic environment, low operational efficiency and insufficient technology adaptation. By analyzing the bottlenecks of complex rural geographic environment, low operational efficiency, and insufficient technological adaptability, a three-in-one solution framework of “intelligent path planning, new distribution organization, and optimization of operation mechanism” is constructed. Cost reduction. The study shows that the solution can shorten the response time to 2 minutes and reduce the logistics cost by 15%-20%, providing replicable technical support for rural revitalization.
References
1. W. Liu, "Route Optimization for Last-Mile Distribution of Rural E-Commerce Logistics Based on Ant Colony Optimization," IEEE Access, vol. 8, pp. 12179-12187, 2020, doi: 10.1109/ACCESS.2020.2964328.
2. X. Wang and R. Almajed, "Distribution route planning of fresh food e-commerce based on ant colony algorithm," in Proc. Int. Conf. Appl. Technol. Cyber Intell., Cham, Switzerland: Springer, 2022, pp. 211-219, doi: 10.1007/978-3-031-28893-7_26.
3. Q. Zhang, Y. Li, and Q. Cai, "Investigation on the last-mile delivery of rural logistics under crowdsourcing transportation in China," Int. J. Traffic Transp. Eng., vol. 11, no. 1, pp. 75-93, 2021, doi: 10.7708/ijtte.2021.11(1).04.
4. R. Mangiaracina, A. Perego, A. Seghezzi, and A. Tumino, "Innovative solutions to increase last-mile delivery efficiency in B2C e-commerce: a literature review," Int. J. Phys. Distrib. Logist. Manag., vol. 49, no. 9, pp. 901-920, 2019, doi: 10.1108/IJPDLM-02-2019-0048.
5. Y. Zhang, X. Fan, and L. Zhou, "Analysis and research on the 'last mile' distribution innovation model of e-commerce express delivery," J. Phys.: Conf. Ser., vol. 1176, no. 4, p. 042044, Mar. 2019, doi: 10.1088/1742-6596/1176/4/042044.
6. Y. Peng, "Research on countermeasures for the development of rural e-commerce logistics," E3S Web Conf., vol. 275, p. 01029, 2021, doi: 10.1051/e3sconf/202127501029.
7. Z. Ma, J. Zhang, H. Wang, and S. Gao, "Optimization of sustainable bi-objective cold-chain logistics route considering carbon emissions and customers’ immediate demands in China," Sustainability, vol. 15, no. 7, p. 5946, 2023, doi: 10.3390/su15075946
8. T. Zdolsek Draksler, M. Cimperman, and M. Obrecht, "Data-driven supply chain operations—the pilot case of postal logistics and the cross-border optimization potential," Sensors, vol. 23, no. 3, p. 1624, 2023, doi: 10.3390/s23031624.
9. H. Yu, X. Sun, W. D. Solvang, and G. Laporte, "Solving a real-world urban postal service system redesign problem," Sci. Pro-gram., vol. 2021, no. 1, p. 3058472, 2021, doi: 10.1155/2021/3058472.
10. J. Song and S. Ma, "Discussion on existing problems and solutions on the last mile in rural logistics of Jilin Province," in Proc. 2018 3rd Int. Conf. Politics, Economics and Law (ICPEL 2018), Atlantis Press, 2018, pp. 17-20, doi: 10.2991/icpel-18.2018.4.
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