COMPREHENSIVE UNDERSTANDING OF PLACE IMAGES OF AN ARTIFICIAL URBAN ENVIRONMENT IN TOKYO WATERFRONT A study on media projected images and various tendencies towards the image of Odaiba

摘要

Odaiba's Media Projected Images (MPIs) text data were analyzed using Text Mining, influential Elements and differences between sources were spotted. Accordingly, extracting two image dimensions: Occasional/Permanent Facilities and Daily use/Sightseeing Focus. Besides, four image components: "Shop/Experience/Commute", "Visit/Stay/Work", "Enjoy/see/interact", and "Discover/Relax/Wander". Afterward, extracting a Combined data set of previously studied "Residents Perceived Image (RPIs)" and MPIs through Seven Patterns. Significant differences in RPIs' and MPIs' tendencies were found. Foreigner residents having same tendencies as Guidebooks, Japanese and Foreigners tendencies correspond to Online Guides and Pamphlets/Maps, while Websites tendencies are like Japanese residents. While MPIs dimensions have an impact on RPIs patterns.