The LOGMAP Model for Image Positioning of Railroad Line Area

The purpose of this paper is to empirically examine an applicability of LOGMAP model to identifying linguistic image of railroad line area. The proposed model focuses on difference in image between common noun and proper noun; it implies that an idividual is expected to make a different response in image to a common noun, for example, “rail” comparing with that to proper noun such as “Hankyu” and “Kintetsu”. In this paper, the reason why those different images are created is discussed through the results obtained from this LOGMAP model. As a typical finding, it is indicated that image of “moutain” as a common noun is different from that of “Rokko-mountain” in Hankyu area and that of “Ikoma-moutain” in Kintetsu area, because of peculiarity in image-connectivity between these moutains and their surrounding things.