The effect of COVID-19 on customer traffic: A case study of Food and Beverage stores in Erie County, New York

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dc.contributor.authorAversa , Joe
dc.contributor.authorQuach, Xuan
dc.contributor.authorHernandez, Tony
dc.contributor.authorVatrapu, Ravi
dc.date.accessioned2021-12-24T18:11:15Z
dc.date.available2021-12-24T18:11:15Z
dc.date.issued2022-01-04
dc.description.abstractThe declaration of the COVID-19 pandemic and the resulting lockdowns brought focus on the importance of the retail sector for community well-being. The restrictive government policies that were put into place to curb the spread of COVID-19 added pressure on retailers to adapt to the subsequent changes in consumption. This research, using a case study of Erie County in the State of New York (NY), investigates these changes in visitation patterns for a commercial service sector that was deemed ‘essential’ - food and beverage. This study uses mobile location data to identify variations in shopping patterns for independent and chain stores. The study finds that by comparing the pre-pandemic to pandemic, there were changes to visitation patterns over time and between retail types. While the study highlights the potential to use mobile data to study shifts in consumption behaviours, the paper also reveals several challenges in using such data.
dc.format.extent8 pages
dc.identifier.doi10.24251/HICSS.2022.689
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/80028
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectGeospatial Big Data Analytics
dc.subjectconsumer behaviour
dc.subjectcovid-19
dc.subjectmobile location data
dc.titleThe effect of COVID-19 on customer traffic: A case study of Food and Beverage stores in Erie County, New York
dc.type.dcmiText

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