Abstract
In this paper, we proposed a model that explains residents' activities at the waterside. The model was set up with the aid of the discrete choice model based on a random utility theory. In order to take residents' cognitive data of components on the waterside environment in the model, we proposed several data-handling ways as follows. They were ways 1) of taking individually cognitive data of components on the waterside environment in the utility function, 2) of using classified samples, and 3) of using the unobserved endogenous variables composed of some observed exogenous variables expressed the residents' cognition of the state for the waterside environment. The effectiveness of these proposed ways was shown by the results of the applications to the real waterside in urban area. And the applicability to estimation of the number of visitors and compensating variation with change in waterside environment was shown.
