Modeling, learning, and planning together: An application of participatory agent-based modeling to environmental planning

Moira L. Zellner, Leilah B. Lyons, Charles J. Hoch, Jennifer Weizeorick, Carl Kunda, Daniel C. Milz

    Research output: Contribution to journalArticlepeer-review

    25 Scopus citations

    Abstract

    County and regional government agencies use stakeholder committees to ensure representation of diverse interests when planning, but these representatives often are not trained to understand the complexity inherent to human-environmental issues (e.g., groundwater management). Planning professionals use computer models to simulate the interaction effects of different planrelated policies, but most are "black boxes" to stakeholders, who, therefore, are forced to trust the simulations without understanding human-environmental complexity, reducing the opportunities for effective solution building. Agent-based models can represent decisions and environmental dynamics in a rule-based form that invites nonexpert users' involvement in both developing the model and meaningfully interpreting its outputs. We conducted a series of collaborative and developmental agent-based modeling meetings with stakeholders and planners in a rapidly suburbanizing area facing groundwater shortages. Stakeholders learned how to use the models, understand the relationships among the components, interpret the outputs based on these relationships, and suggested modifications with new insights. The enhanced understanding of complex interactions reduced early commitments to policy solutions as stakeholders jointly explored the range of possible outcomes. These results show that agent-based modeling holds promise for use in collaborative planning exercises.

    Original languageEnglish (US)
    Pages (from-to)77-92
    Number of pages16
    JournalURISA Journal
    Volume24
    Issue number1
    StatePublished - Sep 19 2012

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