Your browser doesn't support javascript.
Diverged landscape of restaurant recovery from the COVID-19 pandemic in the United States.
Wang, Siqin; Huang, Xiao; She, Bing; Li, Zhenlong.
  • Wang S; School of Earth and Environmental Sciences, University of Queensland, Brisbane, QLD, Australia.
  • Huang X; Graduate School of Interdisciplinary Information Studies, University of Tokyo, Tokyo, Japan.
  • She B; School of Science, Royal Melbourne Institute of Technology (RMIT), Melbourne, VIC, Australia.
  • Li Z; Department of Geosciences, University of Arkansas, Fayetteville, AR, USA.
iScience ; 26(6): 106811, 2023 Jun 16.
Article in English | MEDLINE | ID: covidwho-2311556
ABSTRACT
The COVID-19 pandemic has imposed catastrophic impacts on the restaurant industry as a crucial socioeconomic sector that contributes to the global economy. However, the understanding of how the restaurant industry was recovered from COVID-19 remains underexplored. This study constructs a spatially explicit evaluation of the effect of COVID-19 on the restaurant industry in the US, drawing on the attributes of +200,000 restaurants from Yelp and +600 million individual-level restaurant visitations provided by SafeGraph from 1st January 2019 to 31st December 2021. We produce quantitative evidence of lost restaurant visitations and revenue amid the pandemic, the changes in the customers' origins, and the retained visitation law of human mobility-the number of restaurant visitations decreases as the inverse square of their travel distances-though such a distance-decay effect becomes marginal at the later pandemic. Our findings support policy makers to monitor economic relief and design place-based policies for economic recovery.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: IScience Year: 2023 Document Type: Article Affiliation country: J.isci.2023.106811

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: IScience Year: 2023 Document Type: Article Affiliation country: J.isci.2023.106811