2021
DOI: 10.1111/jors.12571
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Public responses to COVID‐19 case disclosure and their spatial implications

Abstract: We study how the public changes their mobility and retail spending patterns as precautionary responses to the disclosed location of COVID-19 cases. To look into the underlying mechanisms, we investigate how such change varies spatially and whether there is any spatial spillover or substitution. We use the daily data of cell phone-based mobility and credit card transactions between February 10 and May 31 in both 2019 and 2020 in Seoul, South Korea, and employ the empirical approach analyzing the yearover-year p… Show more

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Cited by 10 publications
(5 citation statements)
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“…Therefore, we could directly observe the use of stimulus payments, unlike other studies that could only observe overall credit card spending patterns. [20][21][22] For all analyses, we exclude the transactions that are likely to be non-physical consumption or where the consumer and merchant are not in the same location at the time of the transaction, such as transactions for e-commerce, public transport including taxies, voucher purchases, utility bills, and tax payments.…”
Section: Data Sourcesmentioning
confidence: 99%
“…Therefore, we could directly observe the use of stimulus payments, unlike other studies that could only observe overall credit card spending patterns. [20][21][22] For all analyses, we exclude the transactions that are likely to be non-physical consumption or where the consumer and merchant are not in the same location at the time of the transaction, such as transactions for e-commerce, public transport including taxies, voucher purchases, utility bills, and tax payments.…”
Section: Data Sourcesmentioning
confidence: 99%
“…The locally confirmed cases in a neighborhood and its adjacent areas could also impact people's perception and their travel to and from those areas. The findings have been generated in cities such as Seoul ( Lee & Lee, 2022 ) and Singapore (Janssen and Shapiro, 2021), where there exist COVID-19 dashboards that publicize detailed information about confirmed cases at different geographical levels over time.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Besides, income and educational levels can well predict the degree of risk perception. Together, they significantly impacted travel ( Lee & Lee, 2022 ; Ozbilen et al, 2021 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The COVID-19 pandemic has brought a significant change in consumers' housing preferences, especially with the dramatic increase in work-from-home (WFH) arrangements along with infection concerns [16,27,44,50,81]. Also, national lockdowns and social distancing measures have required people to conduct daily activities at home [39].…”
Section: Covid-19 Outbreak Consumer Preference Change and Willingness...mentioning
confidence: 99%