Eroded

Xu Tang

Supervisor: Prof. Alisa Andrasek

According to the related research, in the past few decades, Shenzhen is facing the problem of fragmentation of its urban green space. The new buildings block the connection of each mountain, which has led to a decrease in species diversity. Meanwhile, numbers of people are still living in the dense local village with poor quality.

Even though high density is usually associated with problems and poor quality, we are still arguing for low coverage, high density to preserve this relationship in nature and to preserve natural elements and biomass here.

However, currently, with the new tools of machine learning, multi-agent system and computational design, we can now develop solutions that are not only high density but also high quality.

This project is proposed to work on the barren site to stitching the mountains and lake surrounding to achieve high quality life for both non-human and human areas.

Based on the terrain analysis of machine learning, the project uses a multi-agent system to create an organic form related to the terrain, blurring the boundary between natural and buildings. Meanwhile, it allows residents to enjoy high-quality life through the reasonable location of co-working and co-living areas while providing greenery corridors for the migration of wild animals to protect biodiversity.

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