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菜鸟驿站空间分布特征及影响因素研究——以南京市为例

Study on the Spatial Distribution Characteristics and Influencing Factors of Cainiao Post Station——Taking Nanjing as an Example
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摘要 菜鸟驿站是现代物流体系的末端节点,为解决物流配送“最后一公里”甚至“最后一百米”问题发挥着重要作用。菜鸟驿站在城市中的空间分布特征对整个城市物流配送效率提升和配送末端节点空间布局优化有着决定性的影响。为探索菜鸟驿站空间分布规律及其影响因素,文章以南京市为研究区,通过收集菜鸟驿站网点数据,利用地理信息系统空间分析方法分析菜鸟驿站网点的空间分布特征,空间集聚特点和服务半径特征,最后从住宅区、商业区、学校、其他兴趣点和城市规划等因素对其空间分布成因进行了探讨。研究结果可为政府部门开展城市服务设施的合理规划提供科学依据,同时为创业者、连锁店加盟商以及研究机构分析快递点的分布问题提供理论参考。 Cainiao Post is the terminal node of modern logistics system.It plays an important role in solving the problem of"the last mile"or even"the last hundred meters"of logistics distribution.The spatial distribution characteristics of Cainiao Post in the city have a decisive impact on the improvement of the efficiency of logistics distribution and the optimization of the spatial layout of distribution terminal nodes in the whole city.In order to explore the spatial distribution of Cainiao Post and its influencing factors,this paper takes Nanjing City as the research area,analyzes the spatial distribution characteristics,spatial agglomeration characteristics and service radius characteristics of Cainiao Post by collecting the data of Cainiao Post and using the spatial analysis method of GIS.Finally,we discussed the causes of its spatial distribution from the aspects of residential areas,commercial areas,schools,other interest points and urban planning.The research results of this paper can provide scientific basis for government departments to carry out reasonable planning of urban service facilities,and provide theoretical reference for entrepreneurs,chain store franchisees and research institutions to analyze the distribution of express delivery points.
作者 孙金磊 魏天姿 韦莹莹 邓舒恬 车明亮 张季一 SUN Jinlei;WEI Tianzi;WEI Yingying;DENG Shutian;CHE Mingliang;ZHANG Jiyi(School of Geographical Science,Nantong University,Nantong 226019,China;Nantong Key Laboratory of Spatial Information Technology R&D and Application,Nantong 226019,China;Business School,Nantong Institute of Technology,Nantong 226006,China;Nantong University Xinglin College,Nantong 226236,China;School of Geographic Information and Tourism,Chuzhou University,Chuzhou 239099,China)
出处 《物流科技》 2023年第17期29-32,共4页 Logistics Sci-Tech
基金 安徽省自然科学基金资助项目(2008085QD168) 虚拟地理环境教育部重点实验室开放基金资助项目(2020VGE05) 江苏省大学生创新创业训练计划项目(202310304139Y、202310304143Y)。
关键词 服务半径 菜鸟驿站 空间分布 空间集聚 配送节点 service radius Cainiao Post space distribution spatial agglomeration distribution node
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