Articles | Volume 23, issue 5
Research article
 | Highlight paper
10 May 2019
Research article | Highlight paper |  | 10 May 2019

Using a coupled agent-based modeling approach to analyze the role of risk perception in water management decisions

Jin-Young Hyun, Shih-Yu Huang, Yi-Chen Ethan Yang, Vincent Tidwell, and Jordan Macknick

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Cited articles

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Short summary
This study applies a two-way coupled agent-based model (ABM) with a river-reservoir management model (RiverWare) to analyze the role of risk perception in water management decisions using the Bayesian inference mapping joined with the cost–loss model. The calibration results capture the dynamics of historical irrigated area and streamflow changes and suggest that the proposed framework improves the representation of human decision-making processes compared to conventional rule-based ABMs.