In this paper, we focus on rambling activity, for example, visiting tourist spots or barhopping on shopping districts, and propose a user behavior model for predicting rambling activity. Moreover we evaluate availability of the model. Specifically, we adopt Levy flights as basic probability model, and extend the model by introducing 2 parameters depending on distance between spots and popularity of spots. In our experiments using data from 'The 6th Shizuoka Omachi Bar,' which is a barhopping event, we demonstrate suitability of the user behavior model for predicting rambling activity with comparing results of simulations varied distance and popularity parameters.
