A prediction model on sightseeing travel behavior using neural networks

摘要

In this paper, we pay attention to sightseeing travel behavior by public transportation and construct a prediction model using Neural Networks. We adopt a feature of sightseeing area, transporting time, and a crowded rate as the major factors in travel behavior. This model shows characteristics of travel behavior and then will be applied to a decision of sightseeing bus routes.