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Updated: Mar 29, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Brief introductory guide to agent-based modeling and an illustration from urban health research
Amy H Auchincloss1, Leandro Martin Totaro Garcia2
1School of Public Health, Drexel University, Philadelphia, U.S.A.
Abstract:
There is growing interest among urban health researchers in addressing complex problems using conceptual and computation models from the field of complex systems. Agent-based modeling (ABM) is one computational modeling tool that has received a lot of interest. However, many researchers remain unfamiliar with developing and carrying out an ABM, hindering the understanding and application of it. This paper first presents a brief introductory guide to carrying out a simple agent-based model. Then, the method is illustrated by discussing a previously developed agent-based model, which explored inequalities in diet in the context of urban residential segregation.
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