The COVID-19 pandemic placed considerable stress on restaurants from restrictions placed on their operations, shifting consumer confidence, rapid expansion of remote work arrangements and aggressive uptake of third-party delivery services. Industry reports suggest that restaurants are experiencing a much higher rate of failure in comparison to other sectors of the economy. Restaurant survival was assessed in the Middlesex–London region of Ontario, Canada as of December 2020 using a novel dataset constructed from public health inspection permits, business listings and social media. Binomial logistic regression models were used to determine the association of operational, demographic and land use factors with restaurant survival during the pandemic. Operations-related factors were considerably more predictive of restaurant survival, though some demographic and land use factors suggest that urban processes continued to play a role in restaurant survival. Restaurants that offered in-house delivery and phone-based ordering methods were considerably less likely to close. Restaurants with a table-based service model, drive-through or an alcohol licence were also less likely to close. Restaurants proximal to a concentration of entertainment land uses were more likely to be closed in December 2020. Closed restaurants were not spatially clustered as compared to open restaurants. The pandemic appears to have disrupted established theoretical relationships between people, place, and restaurant success.

中文翻译：

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COVID-19 大流行期间餐厅的生存：检查加拿大伦敦的运营、人口和土地利用预测因素


COVID-19 大流行给餐馆带来了相当大的压力，包括运营限制、消费者信心的转变、远程工作安排的迅速扩大以及第三方送货服务的积极采用。行业报告表明，与其他经济部门相比，餐馆的失败率要高得多。截至 2020 年 12 月，使用根据公共卫生检查许可证、企业名录和社交媒体构建的新颖数据集对加拿大安大略省米德尔塞克斯-伦敦地区的餐厅生存率进行了评估。使用二项式逻辑回归模型来确定大流行期间运营、人口和土地使用因素与餐厅生存的关联。尽管一些人口和土地利用因素表明城市进程继续在餐厅生存中发挥作用，但与运营相关的因素更能预测餐厅的生存。提供内部送货和电话订购方式的餐厅关闭的可能性要小得多。拥有餐桌服务模式、免下车服务或酒类许可证的餐厅关闭的可能性也较小。靠近娱乐用地集中的餐厅更有可能在 2020 年 12 月关闭。与开放的餐厅相比，关闭的餐厅在空间上并不聚集。这场流行病似乎破坏了人、地点和餐厅成功之间既定的理论关系。