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Using ABM to Study the Potential of Land Use Change for Mitigation of Food Deserts

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  • Asmamaw A. Gebrehiwot

    (Department of Built Environment, North Carolina A & T State University, Greensboro, NC 27411, USA)

  • Leila Hashemi-Beni

    (Department of Built Environment, North Carolina A & T State University, Greensboro, NC 27411, USA)

  • Lyubov A. Kurkalova

    (Department of Economics, North Carolina A & T State University, Greensboro, NC 27411, USA)

  • Chyi L. Liang

    (Department of Agribusiness Econ Agriscience, North Carolina A & T State University, Greensboro, NC 27411, USA)

  • Manoj K. Jha

    (Department of Civil, Architectural and Environmental Engineering, North Carolina A & T State University, Greensboro, NC 27411, USA)

Abstract

Land-use transition is one of the most profound human-induced alterations of the Earth’s system. It can support better land management and decision-making for increasing the yield of food production to fulfill the food needs in a specific area. However, modeling land-use change involves the complexity of human drivers and natural or environmental constraints. This study develops an agent-based model (ABM) for land use transitions using critical indicators that contribute to food deserts. The model’s performance was evaluated using Guilford County, North Carolina, as a case study. The modeling inputs include land covers, climate variability (rainfall and temperature), soil quality, land-use-related policies, and population growth. Studying the interrelationships between these factors can improve the development of effective land-use policies and help responsible agencies and policymakers plan accordingly to improve food security. The agent-based model illustrates how and when individuals or communities could make specific land-cover transitions to fulfill the community’s food needs. The results indicate that the agent-based model could effectively monitor land use and environmental changes to visualize potential risks over time and help the affected communities plan accordingly.

Suggested Citation

  • Asmamaw A. Gebrehiwot & Leila Hashemi-Beni & Lyubov A. Kurkalova & Chyi L. Liang & Manoj K. Jha, 2022. "Using ABM to Study the Potential of Land Use Change for Mitigation of Food Deserts," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9715-:d:882370
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    References listed on IDEAS

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    Cited by:

    1. Indrakumar Vetharaniam & Levente Timar & C. Jill Stanley & Karin Müller & Carlo van den Dijssel & Brent Clothier, 2022. "Modelling Climate Change Impacts on Location Suitability and Spatial Footprint of Apple and Kiwifruit," Land, MDPI, vol. 11(10), pages 1-27, September.
    2. Victoria Tanoh & Leila Hashemi-Beni, 2023. "Spatial Analysis of Socioeconomic Factors Contributing to Food Desert in North Carolina," Sustainability, MDPI, vol. 15(10), pages 1-11, May.
    3. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2024. "Towards sustainable agriculture: behaviors, spatial dynamics and policy in an evolutionary agent-based model," LEM Papers Series 2024/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

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