From mathematical models to policy design: Predicting greywater reuse scheme effectiveness and water reclamation benefits based on individuals’ preferences

The residential reuse of greywater has attracted interest in recent years as a strategy to face water security problems. Nowadays, some cities such Santiago de Chile are seeking promote new laws that allow and make the incorporation necessary infrastructure (machinery parallel pipe system) mandatory for buildings. success any schemes, terms amount mains can be saved, is clearly influenced by decision individual consumers on whether or not use system, they will also ones potential externalities produced system (e.g., odours, noise from technology). Understanding anticipating behaviour individuals an easy task, especially context systems yet widely implemented, but groundwork been laid with application approaches analysts determine heterogeneity consumer preferences based qualities product service. However, there lack focus making predictions quantify impact acceptability volume recovered, driven part methods applied. This paper presents way predicting policy effectiveness reclaim benefits individuals' preferences. For this, we two existing models us different domestic purposes. In case study city Chile, carry out scenario tests predict uptake under future settings show how allowing additional permitted could save several hundred litres per month household.