Backcasting for Sustainable Cities
2023
Micro-Scale
Computational Designer | Master Planner | Lead Researcher
Project
Description
This project demonstrated the back-casting capabilities of a web-based urban design optimization tool developed by Adaptive Design Lab.
The project explored a case study of city district in Singapore, where urban heat island effect must be minimized within a range of viable densities. The research addresses the ability of the proposed tool to support key back-casting priorities of user participation and higher order learning in parallel with design optimization problems of computational efficiency, data structuring, and result analytics.
I advanced the generative model with the lab's developed algorithms and analyzed UHI for urban planning and design parameters.
​
Adaptive Design Lab work.
Project granted by Urban Redevelopment Authority of Singapore.
Multi-scalar Computational Design
Parameters
-
Parcel Size
-
Gross Floor Area
-
Building Density
Environmental Performance Analysis
Tools Metrics​
-
Urban Weather Generator Urban Heat Island
Data Analysis
Method
Optimal Trade-off Analysis
Publication
The Science of Cities Symposium Poster Exhibition:
Aydin et al., 2023. "Urban Heat Island Scenario Exploration: A Generative Design Approach for Optimally Cool Urban Plans"
Also, you can check from Adaptive Design Lab website: