《计算机应用研究》|Application Research of Computers

城市物流中心节点多目标识别模型及仿真

Multi-objects recognition model and simulation of urban logistics center node

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作者 袁光辉,韩景倜,梁贺君
机构 1.上海财经大学 a.信息管理与工程学院;b.实验中心,上海 200433;2.上海海洋大学 工程学院,上海 201306
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文章编号 1001-3695(2019)06-031-1748-05
DOI 10.19734/j.issn.1001-3695.2018.01.0018
摘要 城市最后一公里物流已经成为了城市物流系统的重要组成部分,最后一公里物流节点的选取是其中的重要环节,不仅能够提高配送效率、降低运营成本,还能提升企业形象和缓解城市拥堵压力等。从多种参与者角度出发,基于聚类分析优先选取物流配送覆盖度、均衡度、城市拥堵情况等多个指标及目标构建了的城市物流一级节点识别模型,并使用贪婪算法对一级节点周边的二级节点进行识别,形成最后一公里物流节点网络。使用南京仙林区物流需求情况及周边交通情况进行实证仿真,给出相应的一级节点及二级节点,实证结果表明,南京仙林区总面积308.29 km<sup>2</sup>,优化后的整个物流网络服务范围高达289.50 km<sup>2</sup>,覆盖率高达93.91%,满足整体物流网络的货运需求,最高转运率高达0.949。
关键词 最后一公里; 物流节点; 聚类分析; 贪婪算法
基金项目 国家自然科学基金资助项目(71271126)
本文URL http://www.arocmag.com/article/01-2019-06-031.html
英文标题 Multi-objects recognition model and simulation of urban logistics center node
作者英文名 Yuan Guanghui, Han Jingti, Liang Hejun
机构英文名 1.a.School of Information Management & Engineering,b.Laboratory Center,Shanghai University of Finance & Economics,Shanghai 200433,China;2.College of Engineering,Shanghai Ocean University,Shanghai 201306,China
英文摘要 The city last mile logistics has become an important part of the city logistics system, selecting the last mile logistics node is an important link which can not only improve the distribution efficiency and reduce operating costs, but also enhance the corporate image and alleviate the city congestion pressure etc. Based on the variety of participants, this paper established urban logistics node identification model from the perspective of logistics distribution coverage, equalization degree, urban congestion situation and Multiple indicators. And it used the greedy algorithm to identify the secondary nodes in the peripheral nodes and form a network of nodes. Based on the logistics demand situation and the surrounding traffic situation of Nanjing Xianlin district, the paper presented the corresponding first-level node and secondary node. The empirical results show that the total area of Nanjing Xianlin area 308.29 km<sup>2</sup>, after the optimization of the logistics network service range up to 289.50 km<sup>2</sup>, the coverage rate as high as 93.91%, the maximum transfer rate is 0.949.
英文关键词 last kilometer; logistics node; clustering analysis; greedy algorithm
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收稿日期 2018/1/8
修回日期 2018/3/14
页码 1748-1752
中图分类号 TP391.9
文献标志码 A