Bridging Personal Adaptations to Urban Landscape Design

  • Tatsuya ShibataEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9741)


This paper describes how affective engineering approaches contribute to urban design methods for street and urban landscapes. I focus on (1) differences attributed to individualism of the English and the Japanese in urban landscapes, (2) differences between information and the environment and the current information environment, and (3) introduction of Symbiosis Communicator for Advanced and Preserved Environment (SCAPE), the design support system that includes Kansei, knowledge, and augmented media. A case study highlights a landscape designed in a resident participation project in Chiba, Japan. I conclude that SCAPE may help with designs that promote local diversity and resident participation.


Personal adaptation model Urban landscape Affective engineering Augmented reality 


  1. 1.
    Hillier, B., Hanson, J.: The Social Logic of Space. Cambridge University Press, Cambridge (1984)CrossRefGoogle Scholar
  2. 2.
    Psarra, S.: Beyond analytical knowledge: the need for a combined theory of generation and explanation. A|Z ITU J. Fac. Archit. 11(2), 47–68 (2014)Google Scholar
  3. 3.
    Shibata, T., Kato, T.: Modeling of subjective interpretation for street landscape image. In: Quirchmayr, G., Bench-Capon, T.J., Schweighofer, E. (eds.) DEXA 1998. LNCS, vol. 1460, pp. 501–510. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  4. 4.
    Shibata, T., Kato, T.: Image retrieval system for street-landscape images using adjectives. Trans. Inst. Electron. Inf. Commu. Eng. D-I 82(1), 174–183 (1999)Google Scholar
  5. 5.
    Uchiyama, N., Shibata, T.: Analysis and model on harmonization between urban landscape and buildings—method of multi-modal kansei retrieval system. J. Archit. Plann. 73(623), 241–248 (2008)CrossRefGoogle Scholar
  6. 6.
    Natsume, S.: My Individualism. Kodansha, Tokyo (1978)Google Scholar
  7. 7.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of Information EnvironmentTokyo Denki UniversityInzaiJapan

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