Quantifying the effect of striking with picketing on grocery store foot traffic

Unionized workers often use striking and picketing to raise attention to their grievances, dissuade customers from patronizing a business, and pressure employers in negotiations. Despite its wide use and recognition in popular culture, the effects of picketing and striking on retail business are not well understood. Adjacent literature has used cell phone tracking and other digital geo-tagging techniques to measure the effects of factory closures, COVID-19 restrictions, and stimulus payments on store patronage and economic activity. This article provides a case study using mobile geolocation data to quantify the loss of store foot traffic due to striking with picketing by analyzing the 2022 King Soopers strike in Colorado, USA. Using the historic foot traffic data of the past two years for 118 King Soopers locations, 78 of which went on strike, two SARIMA models were trained, and their predicted foot traffic values were compared to the actual values during the strike period. This technique indicates an average 47% decrease in foot traffic for striking stores and a 14% decrease in foot traffic for nonstriking locations.

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Publication Details

Journal
EPJ Data Science
Published
2024-09-27
DOI
https://doi.org/10.1140/epjds/s13688-024-00495-w
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantifying the effect of striking with picketing on grocery store foot traffic

Phillip Post
EPJ Data Science
Urban and Freight Transport Logistics
article

Quantifying the effect of striking with picketing on grocery store foot traffic

Phillip Post
article en

Abstract

Unionized workers often use striking and picketing to raise attention to their grievances, dissuade customers from patronizing a business, and pressure employers in negotiations. Despite its wide use and recognition in popular culture, the effects of picketing and striking on retail business are not well understood. Adjacent literature has used cell phone tracking and other digital geo-tagging techniques to measure the effects of factory closures, COVID-19 restrictions, and stimulus payments on store patronage and economic activity. This article provides a case study using mobile geolocation data to quantify the loss of store foot traffic due to striking with picketing by analyzing the 2022 King Soopers strike in Colorado, USA. Using the historic foot traffic data of the past two years for 118 King Soopers locations, 78 of which went on strike, two SARIMA models were trained, and their predicted foot traffic values were compared to the actual values during the strike period. This technique indicates an average 47% decrease in foot traffic for striking stores and a 14% decrease in foot traffic for nonstriking locations.

EPJ Data ScienceVol. 13(1)
Franklin W. Olin College of Engineering (US)
Franklin W. Olin College of Engineering, Colby College
Decent work and economic growth
Openalex Percentile: Top 83%
Urban and Freight Transport Logistics
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Quantifying the effect of striking with picketing on grocery store foot traffic — Phillip Post · EPJ Data Science (2024) | TGRS Research Map | TGRS