02 / Computational Design

Urban Green Infrastructure.

A computational strategy for vertical green infrastructure in high-density cities.

Date
October – November 2024
Context
Dalian University of Technology / Workshop
Group project
Methods
Rhino, Grasshopper, Wallacei, genetic algorithms
Architectural visualisation of high-rise housing with integrated vertical planting in Guangzhou
Housing and vertical green infrastructure / Guangzhou proposal

Making room for an urban ecology

The proposal addresses the conditions of Guangzhou’s urban villages by combining resettlement housing with a modular planting system. Site mapping, activity analysis and climate studies establish the relationship between the existing urban fabric, residential needs, and ecological opportunities.

Grasshopper and Wallacei support the exploration and optimisation of high-rise massing and module distribution. Sunlight, airflow and spatial efficiency guide the computational process, while planting modules connect environmental performance with the everyday spaces of the housing proposal.

Project documentation

05 PLATES
Site, activity and climate analysis
01 / Site, activity and climate analysisView full size ↗
Urban strategy, planting modules and genetic algorithm
02 / Urban strategy, planting modules and genetic algorithmView full size ↗
Fitness rankings and generated alternatives
03 / Fitness rankings and generated alternativesView full size ↗
Module distribution and planting analysis
04 / Module distribution and planting analysisView full size ↗
Architectural proposal and spatial outcomes
05 / Architectural proposal and spatial outcomesView full size ↗