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Architectural and Environmental Planning

In order for societies to realize a noticeable level of affluence while keeping it sustainable in the upcoming period of decreasing population, we need architecture and regional planning that consider things such as human well-being, ecology and healthcare in addition to efficiency and functionality. By applying such smart wellness functions to architecture and regional planning, we analyze and evaluate not only efficiency and functionality, but also the psychology and behaviors of various users from a relational perspective, and use the results to create desirable plans, designs, practices, and policies.

Academic Staff

Ken MIURA

Ken MIURAProfessor (Graduate School of Engineering)

Research Topics

In order for societies to realize a noticeable level of affluence while keeping it sustainable in the upcoming period of decreasing population, we need architecture and regional planning that consider things such as human well-being, ecology and healthcare in addition to efficiency and functionality. By applying such smart wellness functions to architecture and regional planning, we analyze and evaluate not only efficiency and functionality, but also the psychology and behaviors of various users from a relational perspective, and use the results to create desirable plans, designs, practices, and policies.

Contacts

Room 204, Bldg. C2, Katsura Campus
TEL: +81-75-383-2927
E-mail: miura@archi.kyoto-u.ac.jp

Tetsu YOSHIDA

吉田哲Associate Professor (Graduate School of Engineering)

Research Topics

  • Research on the relation of the consciousness of visual impression and privacy which are received from the window of the dwelling unit
  • Research on database reference system for facility in the Kyoto University campus

Contacts

Room 203, Bldg. C2, Katsura Campus
TEL: +81-75-383-2915
FAX: +81-75-383-2915
E-mail: tetsu@archi.kyoto-u.ac.jp

Kei YASUDA

安田渓Assistant Professor (Graduate School of Engineering)

Research Topics

  • We analyze “Visibility” such as the “see-seen” relation in architectural space using techniques such as isovist (visible area) and Visibility Graph. We describe inside-outside ambiguities using deep learning. We derive spatial forms with the visual performance that can solve the trade-off between awareness and privacy in offices and nursing homes.

Contacts

Room 212, Bldg. C2, Katsura Campus
TEL: +81-75-383-2928
E-mail: yasuda@archi.kyoto-u.ac.jp