The study proposes a discrete-choice model for environmental policy/program valuation, to be used in cases when several policies are valued sequentially. The stochastic specification of the model is consistent with the transitivity and continuity axioms of utility analysis. An empirical methodology for the model is suggested. An application of this model to WTP estimation for Little Tennessee River watershed ecosystem restoration is provided. Findings from the application agree with the hypothesized agent's behavior.