Open all hours: spatiotemporal fluctuations in U.K. grocery store sales and catchment area demand
Open all hours: spatiotemporal fluctuations in U.K. grocery store sales and catchment area demand
复制标题
全天候营业：英国杂货店销售和集水区需求的时空波动
DOI：
10.1080/09593969.2017.1333966
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
A. Newing
中科院分区：
文献类型：
--
作者：
T. Waddington;G. Clarke;M. Clarke;A. Newing
传统的人口估计不能在零售商店集水区水平上考虑人口在昼夜时间尺度上的时空波动。这对基于零售位置的决策过程提出了挑战，该决策过程试图在新店建设之前预测销售量及其时间特征。我们提出了一种新的分析商店销售的时间波动，证明了特定人口亚群的时空分布与商店销售时间之间的联系。由于商业数据不公开供学术研究使用，以往将时空人口与商店销售联系起来的研究受到限制。然而，这项研究前所未有地访问了商店级别的临时销售数据和英国一家主要杂货零售商建立的忠诚卡计划，使这些分析首次成为可能。此外，我们证明了当前的商店分类不足以对具有相似销售概况的商店进行分组，并根据一天中产生收入的时间提出了四个新的商店集群。这一发展具有明显的学术和商业效益，有助于我们理解消费者行为，并为改进位置建模提供了一种新颖的解决方案。我们为进一步的研究奠定了基础，将时空需求波动构建到零售区位模型中。
Abstract Conventional population estimates do not account for spatiotemporal fluctuations in populations over a diurnal timescale at the level of retail store catchments. This presents challenges for the retail location-based decision making process which seeks to predict sales volumes and their temporal characteristics prior to new store construction. We present a novel analysis of the temporal fluctuations of store sales, evidencing links between the spatiotemporal distribution of specific population subgroups and temporal store sales. Previous research linking spatiotemporal populations and store sales is limited owing to the fact that commercial data are not openly available to academic research. However, this research has unprecedented access to store level temporal sales data and an established loyalty card scheme from a major UK grocery retailer making these analyses possible for the first time. Additionally, we demonstrate that current store classifications were inadequate for grouping stores with similar sales profiles and propose four new clusters of stores based on the times of the day that they generate revenues. This development has clear academic and commercial benefits, aiding our understanding of consumer behaviours and a novel solution for improved location modelling. We lay the foundations for further research building spatiotemporal demand fluctuations into retail location models.
DOI：
10.1016/j.jretconser.2015.08.013
发表时间：
2016-01-01
影响因子：
10.4
作者：
Dolega, Les;Pavlis, Michalis;Singleton, Alex
通讯作者：
Singleton, Alex
杂货店选址规划的访客支出估算：康沃尔郡的案例研究
DOI：
10.1080/09593969.2012.759612
发表时间：
2013
期刊：
The International Review of Retail, Distribution and Consumer Research
影响因子：
--
作者：
Newing A
通讯作者：
Newing A
探索旅游区杂货零售商的小面积需求
影响因子：
4.4
作者：
Newing A
通讯作者：
Newing A