1. Analysis of Food Hub Commerce and Participation Using Agent-Based Modeling: Integrating Financial and Social Drivers.
- Author
-
Krejci CC, Stone RT, Dorneich MC, and Gilbert SB
- Subjects
- Computer Simulation, Ergonomics, Food economics, Food statistics & numerical data, Humans, Food Supply economics, Food Supply methods, Food Supply statistics & numerical data, Models, Organizational, Social Behavior
- Abstract
Objective: Factors influencing long-term viability of an intermediated regional food supply network (food hub) were modeled using agent-based modeling techniques informed by interview data gathered from food hub participants., Background: Previous analyses of food hub dynamics focused primarily on financial drivers rather than social factors and have not used mathematical models., Method: Based on qualitative and quantitative data gathered from 22 customers and 11 vendors at a midwestern food hub, an agent-based model (ABM) was created with distinct consumer personas characterizing the range of consumer priorities. A comparison study determined if the ABM behaved differently than a model based on traditional economic assumptions. Further simulation studies assessed the effect of changes in parameters, such as producer reliability and the consumer profiles, on long-term food hub sustainability., Results: The persona-based ABM model produced different and more resilient results than the more traditional way of modeling consumers. Reduced producer reliability significantly reduced trade; in some instances, a modest reduction in reliability threatened the sustainability of the system. Finally, a modest increase in price-driven consumers at the outset of the simulation quickly resulted in those consumers becoming a majority of the overall customer base., Conclusion: Results suggest that social factors, such as desire to support the community, can be more important than financial factors., Application: An ABM of food hub dynamics, based on human factors data gathered from the field, can be a useful tool for policy decisions. Similar approaches can be used for modeling customer dynamics with other sustainable organizations., (© 2015, Human Factors and Ergonomics Society.)
- Published
- 2016
- Full Text
- View/download PDF