Modeling and Dynamic Simulation of the Public’s Intention to Reuse Recycled Water Based on Eye Movement Data

The public’s rejection of recycled water has seriously hindered the promotion water. Individual intention and decision-making behavior will be affected by group behavior. To clarify interaction mechanism to reuse from perspective decision-making, this study used an eye-movement experiment with a consumption scenario simulation obtain influencing factors data related purchase decisions ABM (agent-based modeling) method simulate effects group’s in combination three factor scenarios: sales volume, quality evaluation, environmental evaluation on Netlogo platform. results showed that (1) reviews have significant effect water, followed sales, worst effect; (2) two-factor interaction, was significantly improved, highest under influence good high sales; (3) combined reviews, highest, but slightly different two factors: sales. This aimed provide scientific basis for policy reuse.