Exploring Store Visit Changes During the COVID-19 Pandemic Using Mobile Phone Location Data
Exploring Store Visit Changes During the COVID-19 Pandemic Using Mobile Phone Location Data
复制标题
DOI：
10.1007/978-3-030-72808-3_13
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Yunlei Liang;Kyle McNair;Song Gao;Aslıgül Göçmen
中科院分区：
文献类型：
--
作者：
Yunlei Liang;Kyle McNair;Song Gao;Aslıgül Göçmen
当世界卫生组织（WHO）宣布COVID-19大流行时，地球仪各地的人们分散到商店购买杂货，用品和其他杂项物品，为隔离做准备。由于疫情爆发，零售店的客流量发生了巨大变化。该研究旨在分析COVID-19疫情期间的封店政策对店铺到访模式的影响。利用移动的手机定位数据，我们建立了一个时间感知的Huff模型来估计和比较不同品牌的商店在不同时间段的访问概率。我们能够识别因疫情爆发而增加或减少访问量的某些零售和杂货店，并检测访问某些零售机构的趋势（例如，百货公司、杂货店、快餐店和咖啡馆）以及访问模式如何随着封锁而调整。我们还对美国三个人口稠密城市的品牌进行了比较，以确定潜在的区域差异。人们发现，在交通系统发达的大都市地区，人们往往对长途旅行不太敏感。此外，塔吉特百货公司被发现在封锁后比其他杂货店更受长途旅行的负面影响。研究结果可进一步应用于支持大流行后城市的公共卫生、城市规划、交通和商业相关政策制定。
When the World Health Organization (WHO) announced the pandemic of COVID-19, people around the globe scattered to stores for groceries, supplies, and other miscellaneous items in preparation for quarantine. The dynamics of retail visits changed dramatically due to the pandemic outbreak. The study intends to analyze how the store visit patterns have changed due to the lockdown policies during the COVID-19 pandemic. Using mobile phone location data, we build a time-aware Huff model to estimate and compare the visiting probability of different brands of stores over different time periods. We are able to identify certain retail and grocery stores that have more or fewer visits due to the pandemic outbreak, and we detect whether there are any trends in visiting certain retail establishments (e.g., department stores, grocery stores, fast-food restaurants, and cafes) and how the visiting patterns have adjusted with lockdowns. We also make comparisons among brands across three highly populated U.S. cities to identify potential regional variability. It has been found that people in large metropolitan areas with a well-developed transit system tend to show less sensitivity to long-distance visits. In addition, Target, which is a department store, is found to be more negatively affected by longer-distance trips than other grocery stores after the lockdown. The findings can be further applied to support policymaking related to public health, urban planning, transportation, and business in post-pandemic cities.