基于大数据的电商物流末端配送网点空间分布分析--以深圳市为例

Using Big Data to Analyze the Spatial Distribution of E-tailing-related Final Delivery Facilities: The Case of Shenzhen, China

随着末端配送对于网络购物的重要性越来越强,网络零售企业、物流快递企业等纷纷加大末端物流网络的建设,围绕社区来配备快递配送网点和相应的服务设施。国家相关规划也提出了将电商物流快递基础设施建设纳入土地利用规划与城市总体规划,推动末端配送设施的网格化配置。虽然相关研究及政策已经开始推进,但是受制于数据限制,关于社区快递配送网点的规划布局研究仍然有待深化。以深圳市为例,通过兴趣点等大数据采集与空间分析方法,对邮政公司、快递公司和电商企业末端配送网点的空间分布进行探讨,分析上述公司末端配送网点的空间分布和服务能力,以期为末端物流设施的规划建设提供研究支撑与政策建议。

Along with the increasing importance of final delivery in e-shopping, internet retailers, parcel express companies and other stakeholders all have put great investments on last- mile delivery network, especially on expanding delivery network at the scale of community. The central government and municipal authorities also have proposed the necessity of incorporating e-tailing logistics infrastructure to urban planning and promoting last-mile delivery network. In face of these policy issues, there are few studies which investigate the spatial distribution of final delivery facilities due to limits of data availability. The paper aims to fill this gap by examining the spatial distribution of final delivery facilities in Shenzhen, with big data source like point-of- interest （POI）. This study has compared the spatial distribution of final delivery points deployed by postal companies, parcel express companies and e-tailing companies. Insights from this study are to offers supports and suggestions for decision making on planning and constructing final de- livery facilities.