Empowering Urban Design Prototyping: A Case Study in Cape Town with Interactive Computational Synthesis Methods
Abstract
Although Cape Town city in South Africa is generally regarded as the most stable and prosperous city in the region, there are still approximately 7.5 million people living in informal settlements and about 2.5 million housing units are needed. This motivates the so-called Empower Shack project, aiming to develop upgrading strategies for these informal settlements. To facilitate the fulfilment of this project, urban design prototyping tools are researched and developed with the capabilities for fast urban design synthesis. In this paper we present a computational method for fast interactive synthesis of urban planning prototypes. For the generation of mock-up urban layouts, one hierarchical slicing structure, namely, the slicing tree is introduced to abstractly represent the parcels, as an extension of the existing generative method for street network. It has been proved that our methods can interactively assist the urban planning process in practice. However, the slicing tree data structure has several limitations that hinder the further improvement of the generated urban layouts. In the future, the development of a new data structure is required to fulfil urban synthesis for urban layout generation with Evolutionary Multi-objective Optimisation methods and evaluation strategies should be developed to verify the generated results. Show more
Publication status
publishedExternal links
Book title
Protocols, Flows and Glitches - Proceedings of the 22nd CAADRIA ConferencePages / Article No.
Publisher
The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)Event
Subject
Interactive Computational Synthesis; Urban Design Prototyping; Cognitive Design ComputingOrganisational unit
08058 - Singapore-ETH Centre (SEC) / Singapore-ETH Centre (SEC)03276 - Schmitt, Gerhard (emeritus) / Schmitt, Gerhard (emeritus)
08060 - FCL / FCL
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Is supplemented by: https://doi.org/10.3929/ethz-b-000310053
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