Discrete Choice Model of Food Store Trips Using National Household Food Acquisition and Purchase Survey (FoodAPS)

Amy Hillier, Tony E. Smith, Eliza D. Whiteman and Benjamin W. Chrisinger
Additional contact information
Amy Hillier: School of Social Policy & Practice, University of Pennsylvania, Philadelphia, PA 19104, USA
Tony E. Smith: Department of Electrical and Systems Engineering, School of Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA
Eliza D. Whiteman: Department of City and Regional Planning, School of Design, University of Pennsylvania, Philadelphia, PA 19104, USA
Benjamin W. Chrisinger: Stanford Prevention Research Center, School of Medicine, Stanford University, Stanford, CA 94305, USA

IJERPH, 2017, vol. 14, issue 10, 1-11

Abstract: Where households across income levels shop for food is of central concern within a growing body of research focused on where people live relative to where they shop, what they purchase and eat, and how those choices influence the risk of obesity and chronic disease. We analyzed data from the National Household Food Acquisition and Purchase Survey (FoodAPS) using a conditional logit model to determine where participants shop for food to be prepared and eaten at home and how individual and household characteristics of food shoppers interact with store characteristics and distance from home in determining store choice. Store size, whether or not it was a full-service supermarket, and the driving distance from home to the store constituted the three significant main effects on store choice. Overall, participants were more likely to choose larger stores, conventional supermarkets rather than super-centers and other types of stores, and stores closer to home. Interaction effects show that participants receiving Supplemental Nutrition Assistance Program (SNAP) were even more likely to choose larger stores. Hispanic participants were more likely than non-Hispanics to choose full-service supermarkets while White participants were more likely to travel further than non-Whites. This study demonstrates the value of explicitly spatial discrete choice models and provides evidence of national trends consistent with previous smaller, local studies.

Keywords: FoodAPS; discrete choice; food shopping; supermarkets; food retail (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1660-4601/14/10/1133/pdf (application/pdf)
https://www.mdpi.com/1660-4601/14/10/1133/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:14:y:2017:i:10:p:1133-:d:113348

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().