| id |
caadria2018_332 |
| authors |
van Ameijde, Jeroen and Song, Yutao |
| year |
2018 |
| title |
Data-Driven Urban Porosity - Incorporating Parameters of Public Space into a Generative Urban Design Process |
| doi |
https://doi.org/10.52842/conf.caadria.2018.1.173
|
| source |
T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 173-182 |
| summary |
This paper presents an urban design project for a new city district, using generative design processes in architecture and urbanism developed over several years within academic research and practice work. The paper discusses the opportunities and challenges found when using a data-driven urban design methodology in relation to the complex logistical, social and economical networks of new urban centers. |
| keywords |
Design Methods and Information Processing; Generative System; Simulation & Optimization; Urban Planning and Design; Public Space Design |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (11,031,206 bytes) |
| references |
Content-type: text/html
Access Temporarily Restricted
Access Temporarily Restricted
Too many requests detected. Please wait 60 seconds or verify that you are a human.
If you are a human user and need immediate access, you can click the button below to continue:
If you continue to experience issues, please open a ticket at
papers.cumincad.org/helpdesk
|
| last changed |
2022/06/07 07:58 |
|
