A model that can generate compact and intelligible route guidance maps is essential for distributing efficient information on pedestrian route guidance through mobile terminals. In this research, we focus on the fact that the existing route guidance maps have been prepared by considering the characteristics of people's spatial cognition. By analyzing which roads and buildings are represented in the existing maps, i.e., which map elements are important and necessary for pedestrian route guidance, we construct a model that can extract key map elements from the geographical database. The route guidance maps generated by the proposed model are shown and evaluated in comparison with the existing maps.
