Fractal Dimension of Shopping Path: Influence on Purchase Behavior in a Supermarket
Fractal Dimension of Shopping Path: Influence on Purchase Behavior in a Supermarket
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购物路径的分形维数：对超市购买行为的影响
DOI：
10.1016/j.procs.2016.08.225
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Katsutoshi Yada
中科院分区：
文献类型：
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作者：
Yuta Kaneko;Katsutoshi Yada
本文旨在利用分形维数来量化顾客在店内移动的复杂性，并提出了一个购买模型，考虑复杂的顾客移动对购买行为的影响。我们使用盒计数法来计算购物路径的分形维数，并研究其与购物篮大小和销售的关系，这被认为是重要的营销。我们发现，具有高分形维数的客户群的平均值的销售楼层区域访问的数量，购物篮的大小，在商店停留时间，和销售额统计高于那些具有较低的分形维数的客户群。我们分析了一个二项logit模型，以确定积极的影响，分形维数对购买的食品成分类别的蔬菜，鱼和肉。
This paper aims to use fractal dimensions to quantify the complexity of customer in-store movements, and proposes a purchase model factoring in the effects of complex customer movements on purchase behavior. We used the box-counting method to calculate the fractal dimension of shopping paths and investigated its relationships with basket size and sales, which are viewed as important for marketing. We found that the customer group with high fractal dimensions had mean values for the number of sales floor zones visited, basket size, stay time in store, and sales amount statistically higher than those of the customer group with lower fractal dimensions. We analyzed a binomial logit model to identify positive effects that the fractal dimension has on purchases in the food ingredient categories of vegetable, fish, and meat.