Social distancing and store choice in times of a pandemic

Social distancing and store choice in times of a pandemic
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疫情期间的社交距离和商店选择

DOI:
10.1016/j.jretconser.2021.102860
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发表时间:
2021-12-23
影响因子:
10.4
通讯作者:
Daziano RA
Daziano RA
中科院分区:
管理学2区
文献类型:
--
作者:
Rossetti T;Yoon SY;Daziano RA

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公共卫生官员实施了多项措施,以遏制影响杂货店的COVID-19大流行,例如限制商店容量、强制佩戴口罩和顾客之间保持物理距离。然而,这些措施可能会引起排队,这可能会使顾客远离商店。在这项研究中,我们调查了在COVID-19疫情高峰期间,客户如何在社交距离措施和增加的等待时间之间进行权衡。我们的数据来自2020年5月在纽约市进行的在线调查。这项调查包括一系列在虚拟商店中进行的离散选择实验,以及一系列关于疫情的心理测量指标。利用这些数据,我们估计了一个潜在类别条件logit模型,其中对类别的分配与COVID-19潜在变量相关。我们确定了三个潜在的类的偏好结构,重视社会距离不同程度的。尽管偏好存在这种异质性,但我们发现,客户愿意等待更长时间才能访问具有更好社交距离措施的商店。这一结果表明,如果商店以延长等待时间为代价执行公共卫生措施,它们的销售额可能会增加,而不是减少。
Public health officials enforced several measures to contain the COVID-19 pandemic that affected grocery stores, such as limits on store capacities and enforcement of masks and physical distancing among customers. Nevertheless, these measures can provoke queues, which could drive customers away from stores. In this study, we investigate how customers trade off between social distancing measures and increased waiting times during the peak of the COVID-19 pandemic. Our data comes from an online survey applied in New York City in May 2020. This survey included a set of discrete choice experiments framed in virtual stores, as well as a set of psychometric indicators regarding the pandemic. With this data, we estimated a latent class conditional logit model where assignment to classes is correlated with COVID-19 latent variables. We identified three latent classes with preference structures that valued social distancing to varying degrees. In spite of this heterogeneity in preferences, we found that customers were willing to wait longer to access stores with better social distancing measures. This result suggests that stores could increase, rather than decrease, their sales if they enforce public health measures at the expense of longer waiting times.
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