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基于DEA的农村物流节点规划方法研究

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运用数据包络分析法,选取农村物流节点建设的投入产出指标,构建规模报酬可变的BCC模型,对江西省南昌市周边3 个乡镇节点进行效率值计算与投影分析.结果显示,BCC模型可评估农村物流节点效率,能确定最适宜的物流节点及其他候选节点的优势与不足,并明确改进方向.该模型为农村物流节点的选择和优化提供了科学方法依据,有助于规划农村物流网络和优化选址,推动农村交通物流运输与经济可持续发展.
Research on Rural Logistics Node Planning Method Based on DEA
This study uses the data envelopment analysis method,selects input and output indicators for rural logistics node construction,constructs a variable returns to scale BCC model,and conducts efficiency value calculation and projection analysis on three township nodes around Nanchang City,Jiangxi Province.The results show that the BCC model can effectively evaluate the efficiency of rural logistics nodes,determine the most suitable logistics nodes and the advantages and disadvantages of other candidate nodes,and clarify the improvement directions.This model provides a scientific method basis for the selection and optimization of rural logistics nodes,helps to plan rural logistics networks and optimize site selection,and promotes the sustainable development of rural transportation logistics and the economy.

rural logisticslogistics node planningDEAcollaborative optimization

郭梦扬、李玮

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交通运输部科学研究院现代物流研究中心,北京 100020

农村物流 物流节点规划 数据包络分析 协同优化

2025

交通工程
北京交通工程学会

交通工程

ISSN:2096-3432
年,卷(期):2025.25(1)