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![Focusing on Battersea, the process involves identifying components like public and private spaces, street layouts, and land use.
This area is chosen to attract individuals who use the tube and guiding them towards the existing market and the park.]()
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![The market, installation spaces and interactive trails have been planned to provide a multi-sensory experience that affects the sense of belonging for people from different cultural backgrounds and speaking a variety of British accents.]()
Accent Fusion
Project details
Programme
Cluster
RC14
Year
1
Sense of belonging is a feeling of acceptance, connection, and identification that one experiences in a community, city, or even a country. It is a basic human need that makes one feel like a part of the city. With the increase in immigration to the UK, London has become one of the most linguistically diverse cities in the world. Accent Fusion delves into the current state of London’s diverse accents, focusing on the ephemeral nature of accents heard in the city and how they affect people's sense of belonging. The project aims to create an urban space that enhances the sense of belonging for individuals from different cultural backgrounds.
Students
- Xuming Cai B-Pro Urban Design Computational Medal
- Muskaan Mardia B-Pro Urban Design Computational Medal
- Yiwen Qian B-Pro Urban Design Computational Medal
- Yiheng Xu B-Pro Urban Design Computational Medal
01
Project Background
Sense of Belonging in the City
Sense of Belonging in the City
Early in the project it was observed that in cosmopolitan London, it is not easy for people from different cultural backgrounds to find a sense of belonging.
Immigration Changes in the UK
Immigration Changes in the UK
Being a highly globalised nation, the UK attracts individuals from diverse origins. The country’s shifting demographics play a significant role in the emergence of language diversity.
Accent and Belonging
Accent and Belonging
The relationship between different English accents and sense of belonging in London.
02
Data and Site Analysis
Data Collection
Data Collection
The most relevant data is chosen which includes London's canopy area density, language diversity in London, density of open spaces, space syntax choice, space syntax integration, and London road noise data.
K-Means Cluster Analysis
K-Means Cluster Analysis
The results from data gathering help analysing three sites in the city. The Bethnal Green and Rotherhithe sites follow a more logical, and their insights will aid in training the site in Battersea.
Social Media Data and Popular Visitor Time Data
Social Media Data and Popular Visitor Time Data
Using topic-related text as prompts in image-based social media, data distribution points, and popular visitor time information is used to identify the most pedestrian-dense places on the site.
Machine Learning Analysis
Machine Learning Analysis
The data is run through the machine learning model. The inputs encompass visibility graph analysis, road noise, and building height. The agent is trained using GPS data. The output illustrates the areas with higher human movement.
Site overview
Focusing on Battersea, the process involves identifying components like public and private spaces, street layouts, and land use.
This area is chosen to attract individuals who use the tube and guiding them towards the existing market and the park.
03
Design Strategy
Accent Fusion letters
The sound becomes an undulating field
The sound becomes an undulating field
The same sentence was captured in 20 distinct accents commonly heard in London. The objective is to visually represent the intangible to the tangible, enabling an exploration of different accents and their spatial translation.
Site Path Planning
Site Path Planning
The result of machine learning serves as a density indicator. The most elevated values guide the formation of pathways and interactive trails
Modular Design
Modular Design
Different font modules were imported into the machine learning model. The outputs generated were categorised into three distinct types: box, frame, and mesh to visualise font characters.
Superposition of Spatial Patterns
Superposition of Spatial Patterns
Using vertical stacking techniques to combine font structures, control the number of letters and their respective proportions within a bounding box of a certain size, and achieve different combinations of fonts by these methods.
Design Process
Design Process
Top View
Top View
Urban 'Furniture' Construction
Urban 'Furniture' Construction
Images processed through a customised stable diffusion model emphasise the generative reconstruction of the model and are influenced by cues related to the project theme.
Touch Designer Creates Interactive Modules
Touch Designer Creates Interactive Modules
Audio interactive visualisation technique that uses touch to generate real-time lighting patterns corresponding to accents heard in the environment.
Design Achievement Showcase
The market, installation spaces and interactive trails have been planned to provide a multi-sensory experience that affects the sense of belonging for people from different cultural backgrounds and speaking a variety of British accents.
Project Video
Project Video
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