| id |
ecaade2017_118 |
| authors |
Shehu, Mateos and Yunitsyna, Anna |
| year |
2017 |
| title |
Generative computational tools for the design of Urban Morphology |
| doi |
https://doi.org/10.52842/conf.ecaade.2017.1.477
|
| source |
Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 477-482 |
| summary |
Today more than 50% of the population is located in cities. This is an essential need, considering the facilities that urban life offers in contrast to the rural one. But, despite the benefits this migration brings to the individuals, it is also associated with some degree of unpredicted behavior which harms the community. In the recent years Albania, like most developing countries, has been facing problems with both informality and the inability to come up with concrete design solutions to adapt quick changes. From this perspective, this paper illustrates a research done to encompass new tools in the urban design practice of Albania for the overcoming of the current design difficulties.It describes a new approach to assess the problematics in the city of Tirana, and implement an algorithmic procedure which creates urban design proposals similar but not limited to the existing ones. Together with other evaluation tools, these new proposals can be tested in terms of energy efficiency, solar access and ventilation performance with the ultimate goal of creating a unified work model which not only will speed up the process but also improve its overall design efficiency. |
| keywords |
Parametric Urbanism; Urban Morphology; Sustainability |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (4,793,131 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:56 |
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