Integrating urban analysis, generative design, and evolutionary optimization for solving urban design problems
Bibliographic Data
| ID | 21247580 |
|---|---|
| Authors | Reinhard König (0000-0002-3579-8855, Austrian Institute of Technology, corresponding author), Yufan Miao (0000-0002-8313-3241, Singapore-ETH Centre, Singapore), Anna Aichinger (Austrian Institute of Technology), Katja Knecht (0000-0002-5462-1844), Kateryna Konieva (Singapore-ETH Centre, Singapore) |
| Year | 2020 |
| Volume | 47 |
| Issue | 6 |
| Pages | 997-1013 |
| Publication date | 2020-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/2399808319894986 |
| OpenAlex | W2995905372 |
| Language | EN |
| Citations received | 13 |
| References cited | 17 |
To better support urban designers in planning sustainable, resilient, and livable urban environments, new methods and tools are needed. A variety of computational approaches have been proposed, including different forms of spatial analysis to evaluate the performance of design proposals, or the automated generation of urban design proposals based on specific parameters. However, most of these propositions have produced separate tools and disconnected workflows. In the context of urban design optimization procedures, one of the main challenges of integrating urban analytics and generative methods is a suitable computational representation of the urban design problem. To overcome this difficulty, we present a holistic data representation for urban fabrics, including the layout of street networks, parcels, and buildings, which can be used efficiently with evolutionary optimization algorithms. We demonstrate the use of the data structure implemented for the software Grasshopper for Rhino3D as part of a flexible, modular, and extensible optimization system that can be used for a variety of urban design problems and is able to reconcile potentially contradicting design goals in a semi-automated design process. The proposed optimization system aims to assist a designer by populating the design space with options for more detailed exploration. We demonstrate the functionality of our system using the example of an urban master-design project for the city of Weimar
Civil engineering · Data science · Database · Engineering design process · Generative Design · Modular design · Software engineering · Systems engineering · Urban design · Urban planning · Workflow · Computer Science · Engineering · Land Use and Ecosystem Services · Transportation Planning and Optimization · Urban Design and Spatial Analysis · Artificial Intelligence
Bi-directional mapping of morphology metrics and 3D city blocks for enhanced characterisation and generation of urban form
A perception-powered urban digital twin to support human-centered urban planning and sustainable city development
A data-driven multi-objective approach to improving the quality of the urban space
A Survey of the Landscape Visibility Analysis Tools and Technical Improvements
A parametric approach to plot-based urban design
Generative urban modelling for walkable neighbourhoods
Is urban analytics serving as an indispensable tool on the desktop of urbanist practitioners
Generative methods for Urban design and rapid solution space exploration
MasterplanGAN
Quantifying Quality
Computational Optimisation of Urban Design Models
Framing Evidence-Based Design and Planning
Generative Design in Urban Planning with Regard to Local Zoning Regulations
| Citations per year | 3.25 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |