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Examining disparities in food accessibility among households in Columbus, Ohio: an agent-based model

Author

Listed:
  • Keumseok Koh

    (The University of Hong Kong)

  • Rebecca Reno

    (University of California, Berkeley)

  • Ayaz Hyder

    (The Ohio State University)

Abstract

The objectives of this study were to evaluate the effect of complex interactions among household and environmental-level factors on household-level food availability via a simulation model, the Food Accessibility Agent-based Model in Central Columbus, Ohio (FAAMC) and to test impacts of novel interventions for reducing disparities in food availability. FAAMC simulates food shopping patterns of households based on the actual location of homes and food stores, transportation network, household income, vehicle ownership, and distance to food stores. Policy interventions, which were evaluated as single or combined interventions, included: (1) reducing preference for convenience stores/partial markets; (2) increasing food availability in stores; and (3) increasing household income through a guaranteed basic income supplement program. The FAAMC estimated that mean food availability for food insecure households is 23% (95% Confidence Interval (CI): 22–24%) lower than for food secure households. Increasing household income among the poorest households may lead to a 14% (95% CI: 13–18%) increase in monthly food availability for food insecure households. Implementing multiple interventions would lead to a 41% (95% CI: 40–43%) increase in monthly food availability among food insecure households. This study exemplifies how a systems science approach may serve as an effective and efficient tool for evaluating “What if?” scenarios for improving household-level food security.

Suggested Citation

  • Keumseok Koh & Rebecca Reno & Ayaz Hyder, 2019. "Examining disparities in food accessibility among households in Columbus, Ohio: an agent-based model," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(2), pages 317-331, April.
    • Handle: RePEc:spr:ssefpa:v:11:y:2019:i:2:d:10.1007_s12571-019-00900-7
    DOI: 10.1007/s12571-019-00900-7
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    References listed on IDEAS

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    Cited by:

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    2. Serge Savary & Sonia Akter & Conny Almekinders & Jody Harris & Lise Korsten & Reimund Rötter & Stephen Waddington & Derrill Watson, 2020. "Mapping disruption and resilience mechanisms in food systems," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(4), pages 695-717, August.
    3. Rebecca Sarku & Ulfia A. Clemen & Thomas Clemen, 2023. "The Application of Artificial Intelligence Models for Food Security: A Review," Agriculture, MDPI, vol. 13(10), pages 1-28, October.
    4. Serge Savary, 2020. "Looking back on 2019: a selection of Food Security articles," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(1), pages 1-3, February.
    5. Penny R. Breeze & Hazel Squires & Kate Ennis & Petra Meier & Kate Hayes & Nik Lomax & Alan Shiell & Frank Kee & Frank de Vocht & Martin O’Flaherty & Nigel Gilbert & Robin Purshouse & Stewart Robinson , 2023. "Guidance on the use of complex systems models for economic evaluations of public health interventions," Health Economics, John Wiley & Sons, Ltd., vol. 32(7), pages 1603-1625, July.
    6. Schauder, Stephanie A., 2020. "The Effect of Sprawl Development on Grocery Store Location and Food Access," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304173, Agricultural and Applied Economics Association.
    7. Igor Vojnovic & Arika Ligmann-Zielinska & Timothy F LeDoux, 2020. "The dynamics of food shopping behavior: Exploring travel patterns in low-income Detroit neighborhoods experiencing extreme disinvestment using agent-based modeling," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-25, December.

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