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![Nature Deficit Disorder is a concern which aims to address through our design project. NDD is a term from Richard Louv's book describing the costs of human alienation from nature.]()
![Further analyses of these datasets within the study area revealed that Cluster Two had a high food desert index, low income, and high climate risk. Based on the distribution of Cluster Two, Site One was selected as a further study range.]()
![Machine learning methods are employed to provide a basis for further matching of planting types.]()
![New landscape functions are categorised into three groups: children, young people, elderly, based on users' age range, matched with corresponding landscape functions.]()
![Data points with suitability more than 50% were selected and used as plantable index, which aims for an urban forest with diverse trees in planting spots.]()
![As rewilding increases, more and more concrete jungle is replaced by trees and plants, while uninteresting parts of the building are eroded by nature education.]()
![The family can also enjoy learning how to plant on the roof garden. Teenagers discover plants in the forest library after school. By touching the plants, they experience nature in a way they had only imagined while reading books before.]()
![At night, when the lights come on, the night view shopping mall shows a new style. People walk, sing and dance under the lights and fireflies, enjoying the coolness of the night and the comfort of nature.]()
![Several interactive wonders await them, including a botanical garden filled with diverse plant species, a forest library featuring vibrant plants as reading companions, and a desert botanical garden that evokes the beauty of an arid landscape.]()
ND²
Project details
Programme
Cluster
RC14
Year
1
Nature Deficit Disorder (NDD) is a real-world issue that this design project intends to address. NDD expresses the psychological, physical, and cognitive implications of human estrangement from nature. To minimise the future development of NDD, the project aims to re-establish the connection between humans and environment through urban rewilding.
To achieve this goal, data correlation analysis, machine learning, and other data analysis technologies were employed to gradually narrow down the design scope. Finally, a location in Edmonton, North London, was identified amid a decrepit shopping mall neighbourhood that had lost its energy. The proposal is long-term and will last for decades. Natural tree growth will erode the site buildings in the later stages of the planting phase. Other building components, aside from the core load-bearing structure, will gradually degrade. As a result, the building's form is dynamic, and the functional activities within it will evolve together with it, gradually integrating in with the surrounding natural landscape.
Students
- Yiran Luo Year 1
- Yi Yue Year 1
- Xiru Zhang Year 1
01
Project Background
Nature Deficit Disorder
Nature Deficit Disorder
Nature deficit disorder (NDD) is a term from Richard Louv's book describing the costs of human alienation from nature.
Nature Deficit Disorder is a concern which aims to address through our design project. NDD is a term from Richard Louv's book describing the costs of human alienation from nature.
02
Data Analysis
To enhance rewilding in London, data analysis was used to assist the government's tree planting goal effectively. Green spaces and related information across London were analysed for planting objectives, including parks, infrastructure, and more.
Further analyses of these datasets within the study area revealed that Cluster Two had a high food desert index, low income, and high climate risk. Based on the distribution of Cluster Two, Site One was selected as a further study range.
03
Site Analysis
The range of areas suitable for rewilding is predicted by the type of soil suitable for cultivation, and areas with rewilding potential are obtained.
Machine learning methods are employed to provide a basis for further matching of planting types.
04
Architecture Landscape Function Analysis
New landscape functions are categorised into three groups: children, young people, elderly, based on users' age range, matched with corresponding landscape functions.
05
Landscape Generation
Data points with suitability more than 50% were selected and used as plantable index, which aims for an urban forest with diverse trees in planting spots.
06
Building Generation
As rewilding increases, more and more concrete jungle is replaced by trees and plants, while uninteresting parts of the building are eroded by nature education.
07
24 Hours in ND²
The module shows residents activity within 24 hours in the rewilding site. In the morning, children enjoy learning in the botanic garden and interacting with nature. In the afternoon, family visits tropical desert greenhouse, where there are cacti.
The family can also enjoy learning how to plant on the roof garden. Teenagers discover plants in the forest library after school. By touching the plants, they experience nature in a way they had only imagined while reading books before.
At night, when the lights come on, the night view shopping mall shows a new style. People walk, sing and dance under the lights and fireflies, enjoying the coolness of the night and the comfort of nature.
08
Nature Journey
This is a virtual reality (VR) experience of people traveling in the virtual rewilding world. With VR devices, they can freely walk and immerse themselves in digital landscapes, creating deep connections with nature and other explorers.
Several interactive wonders await them, including a botanical garden filled with diverse plant species, a forest library featuring vibrant plants as reading companions, and a desert botanical garden that evokes the beauty of an arid landscape.
The Bartlett
B-Pro Show 2023
26 September – 6 October
B-Pro Show 2023
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