| id |
ecaade2017_003 |
| authors |
Yu, Kuai, Haeusler, M. Hank and Fabbri, Alessandra |
| year |
2017 |
| title |
Parametric master planning via topological analysis using GIS data |
| 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. 429-438 |
| doi |
https://doi.org/10.52842/conf.ecaade.2017.1.429
|
| summary |
This paper discusses parametricism in regards to urban planning and infrastructure. The objective is to bridge GIS data (using FLUX) and the parametric design process together into urban master planning. Creating a tool which generates the infrastructure and grid system automatically using specified manual user inputs, allowing for further generation of 3D forms from the block patterns. It also critically analyses the traditional master planning approach of grid system division in regards to topography, and how classical urban designers did not consider topographical constraints when a square grid system was employed to structure a city. The analysis of existing parametric master plans will also show that data driven planning has not put topography as a significant hierarchical. Through case studies using the developed tool, a clearer understanding of how topography can shape infrastructure can be understood. The analysis of topography is the main driving data iteration point which generates the infrastructure, grid, and division systems. |
| keywords |
Master Plan; Parametricism; Urban Design; GIS Data; Topography Optimisation; FLUX |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (23,838,509 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:57 |
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