测绘通报 ›› 2019, Vol. 0 ›› Issue (9): 51-54.doi: 10.13474/j.cnki.11-2246.2019.0284

• 学术研究 • 上一篇    下一篇

基于K-means聚类与空间相关性的零售户销售行为分析

王路遥1, 高山2, 李俊2, 樊红1   

  1. 1. 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 441000;
    2. 贵州省烟草公司 贵阳市公司, 贵州 贵阳 550000
  • 收稿日期:2018-04-29 修回日期:2019-07-12 出版日期:2019-09-25 发布日期:2019-09-28
  • 通讯作者: 樊红。E-mail:hfan3@whu.edu.cn E-mail:hfan3@whu.edu.cn
  • 作者简介:王路遥(1993-),博士生,研究方向为地理经济、空间认知。E-mail:wangluyao@whu.edu.cn
  • 基金资助:
    国家自然科学基金(41471323;91746206)

The sales character analysis of retails based on K-means method and spatial correlation

WANG Luyao1, GAO Shan2, LI Jun2, FAN Hong1   

  1. 1. State Key Lab for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 441000, China;
    2. Guizhou Tobacco Company Guiyang Company, Guiyang 550000, China
  • Received:2018-04-29 Revised:2019-07-12 Online:2019-09-25 Published:2019-09-28

摘要: 零售活动作为城市商业活动的核心之一,对于城市经济水平的反映、消费者行为的把握具有重要作用。为了获取微观的消费者特征,本文基于贵阳零售店的营销数据,提出了更加微观的销售特征提取方式,利用K-means进行店铺分类和特征提取,验证了销售特征与实际销量之间的相关关系,并且在此基础上,开展了针对零售店的精准配货方式推荐,得到了可靠的试验结果。本文的研究能够对当前企业的控制型决策过程进行转变,能够根据市场表现实时的调整营销方案,有效提高社会经济效益。

关键词: 零售户, 微观, 销售特征, K-means

Abstract: Retail activities, as one of the cores of urban commercial activities, can efficiently reflect the city's economic level and consumer's consumption habits. To obtain consumer characteristics in micro-scale, this study makes use of the sales data of retail shops in Guiyang and propose the sales feature extraction methods to extract information through sales performance. The key characteristics of each store is found out existing fitting relationship with actual sale performance, based on which optimized allocation strategy for retail shops are carried out. The research in this paper can change the decision-making process of the current enterprise and improve the social-economic benefits.

Key words: retails, micro-scale, sales characteristics, K-means

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