| id |
caadria2019_127 |
| authors |
Nam, Hyunjae |
| year |
2019 |
| title |
Programming Intelligent Architecture to be Responsive to Real-Time Data |
| doi |
https://doi.org/10.52842/conf.caadria.2019.2.273
|
| source |
M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 273-282 |
| summary |
This study examines the development of intelligent architecture capable of reading real-time data and controlling spatial configurations accordingly. In terms of responsiveness at an architectural scale, it is questionable whether an architectural system can adapt or adjust its spatial configurations to the time-based changes of social activities. The urban open data movement allows individuals to navigate or measure real-time occurrences in cities, and such data can be used to accommodate users' demands for social space. Exploiting urban open data, the design experiment focused on extracting data pertaining to real occurrences of social activities and weather conditions in a city, setting an algorithm mapping the sequence from the data to architectural behaviours, and simulating the architectural model in real time. By means of proposing a design strategy, this research contributes to cross-disciplinary approaches to developing smart buildings and cities. |
| keywords |
real-time data; urban open data; weather API; architectural responsiveness |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (9,816,677 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:59 |
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