Fractal Aestheti[c]ity: When Visual Perception Affects Ecosystem Services

Project details

Programme

Cluster RC15

Year 1

This project explores the correlation between fractal aesthetics, visual perception, and emotional responses in urban settings. An initial evaluation of the immersive fractal aesthetic experience based on Google Street View imagery indicates the key role of vegetation in the generation of positive emotional responses. The proposal distributes a network of green corridors in the City of London, exploring the potential of a green infrastructure to act both as a cultural distribution and environmental regulation service system. Developed with a self-supporting hydroponic structural design which uses artificial intelligence (AI) to learn from its context adaptive strategies of deployment. The proposal articulates a series of elevated pedestrian walkways that rejuvenate the existing pedways network improving the overall connectivity on the site.

Students

Fractal Aestheti[c]ity: Film

$The diagram illustrates the box counting analysis in the Southbank. The fractal dimension (D) is an effective measurement for assessing scene complexity. Box counting is one of the most frequently used techniques for calculating fractal dimensions.$

Box Counting Analysis of South Bank

The diagram illustrates the box counting analysis in the Southbank. The fractal dimension (D) is an effective measurement for assessing scene complexity. Box counting is one of the most frequently used techniques for calculating fractal dimensions.

The graphic shows the Semantic segmentation analysis using the Cityscapes dataset (Cordts et al., 2016), which thoroughly classifies urban street scenes. This machine-learning approach allows the GSV image dataset to be further categorised into distinct labels.

Semantic Segmentation Analysis of South Bank

The graphic shows the semantic segmentation analysis using the Cityscapes dataset which thoroughly classifies urban street scenes. This machine-learning approach allows the GSV image dataset to be further categorised into distinct labels.

$Sentiment mapping showing the sentiment score of the social media dataset to visualise urban emotion and fractal mapping. The document illustrates the fractal dimension score calculated by box-counting of all pictures: a positive relationship.$

Fractal and Semantic Comparison

Sentiment mapping showing the sentiment score of the social media dataset to visualise urban emotion and fractal mapping. The document illustrates the fractal dimension score calculated by box-counting of all pictures: a positive relationship.

The network was created by using the closest distance algorithm from the negative locations to optimize the distribution of Ecosystem Services in the City of London. This network becomes the primary framework for connecting the urban green space, existing elevated pedestrian access, and negative space. The positive visual memories collected from the spatial organisation was distributed along the negative locations to improve pleasant aesthetic experiences throughout the network.

The Network Proposal in the City of London

The network, created to optimise the distribution of ecosystem services in the City of London, becomes the primary framework for connecting urban green space, existing elevated pedestrian access, and negative space.

Surface Design Iteration

Visual memories are transformed into three-dimensional space using artificial intelligence (AI) to produce depth-maps, point clouds and agent based simulation.

Surfaces Catalogue

The visual imagery at each location is transformed into four design surfaces.

Surfaces Distribution in the City of London

A series of positive visual memories are distributed on the network using a stable diffusion technique developed with artificial intelligence, enhancing aesthetic experiences.

$Based on the sentiment analysis, the matrix represents the ‘Great Images’ catalogue, corresponding to the depth map, point clouds, and the final fractal simulation.$

Surfaces Matrix

Based on the sentiment analysis, the matrix represents the ‘Great Images’ catalogue, corresponding to the depth map, point clouds, and the final fractal simulation.

The network intertwined within the existing urban fabrics, providing multiple public space typologies connecting the existing urban green space, Pedway, rooftop garden, riverside promenade, and public transportation system.

The Masterplan

Intertwined within the existing urban fabrics, the network provides multiple public space typologies connecting the existing urban green spaces, pedways, rooftop gardens and the riverside promenade.

Development of a Prototypical Segment

The segment is developed as a complex hybrid system composed of hydroponics, a reticular structure and a vegetative carpet.

Sectional Perspective

The section illustrates the overall composition of the new green corridor, which improves the quality of ecosystem services, particularly the regulating services such as air purification and noise mitigation.