O2O模式下即时配送区域划分研究
首发时间:2020-05-29
摘要:即时配送是O2O模式下传统配送行业与互联网科技的结合体,近年来不断发展并且融入城市本地生活。配送平台在配送效率方面不断应用新技术与算法。即时配送的区域划分能够极大的减少配送的计算压力,更好的规划市场,保证内部供需均衡。配送区域划定了即时配送中用户商户的市场范围,同时也极大程度减少了配送人员成本。本文根据现实配送区域环境建立了配送区域模型,并且设计了两阶段的K-means聚类算法将即时配送中用户与商户类别进行区分。通过设立不同的聚类个数评价指标,能够提供兼顾地理位置和内部经济联系的相关决策。
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Research on the division of real-time distribution area under O2O mode
Abstract:Instant delivery is a combination of traditional delivery industry and Internet technology under the O2O model. In recent years, it has continuously developed and integrated into the local life of the city. The distribution platform continuously applies new technologies and algorithms in terms of distribution efficiency. The division of real-time distribution can greatly reduce the calculation pressure of distribution, better plan the market, and ensure the internal balance of supply and demand. The distribution area defines the market scope of user merchants in real-time distribution, and also greatly reduces the cost of distribution personnel. In this paper, a distribution area model is established according to the actual distribution area environment, and a two-stage K-means clustering algorithm is designed to distinguish users from merchants in real-time distribution. Through the establishment of different clustering number evaluation indicators, it can provide relevant decisions that take into account geographic location and internal economic links.
Keywords: Instant delivery Delivery Area K-means algorithm Clustering Algorithm
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