An Assessment of the Factors Associated with Grocery Shopping Frequency for Georgia SNAP-Ed Participants

The current research examined participants’ self-reported data from the SNAP-Ed program in 2018 and 2019 in eight target counties in northern Georgia. Store proximity clusters were explicitly described using the k-means clustering method. OLS regression models identified the relationship between sho...

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Bibliographic Details
Published in:Southeastern geographer 2023-06, Vol.63 (2), p.203-214
Main Authors: OH, DOORI, SHANNON, JERRY, LEE, JUNG SUN
Format: Article
Language:English
Subjects:
Car pools
Chain stores
Cluster analysis
Clustering
Consumer research
Data collection
Discount department stores
Food deserts
Food quality
Food stamps
Households
Low income groups
Marketing research
Metropolitan areas
Neighborhoods
New store openings
Nutrition education
PART II: GEOGRAPHICAL NOTES
Polls & surveys
Preferences
Proximity
Regression analysis
Regression models
Retail stores
Shopping
Supermarkets
Vector quantization
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Summary:The current research examined participants’ self-reported data from the SNAP-Ed program in 2018 and 2019 in eight target counties in northern Georgia. Store proximity clusters were explicitly described using the k-means clustering method. OLS regression models identified the relationship between shopping frequency and store proximity, preferred retailers, and car usage. There is a significant association between store preference and both the number of stores used and shopping frequency. However, the store proximity clusters, and car use were not significantly associated with the number of shopping trips. This study suggests that factors beyond proximity shape food access and shopping behavior.
ISSN:0038-366X
1549-6929
1549-6929
DOI:10.1353/sgo.2023.0015