| Id : | 2798 | |
Author : | Çalışır Adem P.; Çağdaş G. | |
Title | Cellular Automata for Infill Designs in Historic Urban Quarters |
|
| Reference : | Çalışır Adem P.; Çağdaş G. Cellular Automata for Infill Designs in Historic Urban Quarters,Nexus Network Journal 24 3 |
|
| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127972746&doi=10.1007%2fs00004-022-00602-2&partnerID=40&md5=e957baff04ff75ee95b977d61f8ae571 |
|
| Abstract | This study presents a computational approach to generating infill designs in historic urban quarters, by utilizing urban knowledge. The approach consists of three consecutive phases. The data collection phase includes the steps of collecting, cleaning, combining, and visualizing urban data from the historic city. The data analysis phase contains data mining techniques to process the spatial urban data. The last phase comprises a Cellular Automata-based design model which generates conceptual building massing proposals. The approach provided continuity in the urban texture by generating new design proposals compatible with the existing texture in terms of formal qualities. New design solutions generated by Cellular Automata rules became context-sensitive, as urban data which was specific to the particular location were collected during the design process. Thus, the approach can guide designers in the early stages of design process by generating multiple design alternatives and letting designers customize the solutions for further design operations. © 2022, Kim Williams Books, Turin. |
Results:
| Category |
Certainity |
| Heritage | 0.0000 |
| Archives | 0.0000 |
| Libraries | 0.0001 |
| Book and Press | 0.0000 |
| Visual Arts | 0.9998 |
| Performing Arts | 0.0000 |
| Audiovisual and Multimedia | 0.0000 |
| Architecture | 0.0001 |
| Adverstizing | 0.0000 |
| Art crafts | 0.0000 |
| General cultural dimension | 0.0000 |
MESOC has received funding
from Horizon 2020 - the EU Framework Programme
for Research and Innovation (2014-2020) -
under Grant Agreement n°870935.
We take your privacy seriously and WE DO NOT process any personal data or any information that reveals personal identity or information that can be linked to such information to identify directly or indirectly.
2021 © CD