This post documents our research in the Cognitive Design Computing (CoDeC) workstream of the Big Data Informed Urban Design and Governance project at the Future Cities Lab in Singapore with status July 2018. It is structured in our research on generation, analysis, and exploration methods. We demonstrate our methods in the context of the synergy project Waterfront Tanjong Pagar in Singapore. In this context we used partially inputs from other FCL research groups. The idea of Cognitive Urban Design Computing is to combine unique human design competences with computational methods for the generation, analysis, and exploration of urban designs. The loop of analysis and generation methods is the basis for automated spatial synthesis. Design space exploration methods are used for the presentation and selection of synthesized design variants.

Research Team: Katja Knecht, Yufan Miao, Kateryna Konieva, Pol Foreman, Reinhard Koenig (contact author), Gerhard Schmitt, in collaboration with Dietmar Leyk.

Introduction

The image illustrates the framework for Cognitive Urban Design Computing.

Overview of the spatial synthesis process for Waterfront Tanjong Pagar

Generation and Analysis

Kateryna Konieva

We use the Waterfront Tanjong Pagar area for demonstrating the automated loop of generation and analysis of urban design variants. The video below shows the parametric design workflow with various analysis methods integrated in the spatial synthesis process. Currently we use network analysis, economic potentials, view analysis, as well as solar and shadow analysis.

Optimization

Yufan Miao

For the automatization of the spatial synthesis process, we use evolutionary multi-criteria optimization algorithms. Therefore we needed to develop an appropriate data structure to represent spatial configurations (streets, parcels, and buildings), which allows the application of evolutionary operators (crossover, mutation, and adaption).

Design Space Exploration

Katja Knecht

The spatial synthesis process we presented allows to generate a large number of urban design variants. To present these variants in a meaningful way to urban planners or stakeholders, we explore the usage of design space exploration tools and new interface concepts. The aim is to provide a platform to discuss, compare and evaluate variants based on analysis results in order to allow stakeholders to take informed design decisions.

Comparison of design alternatives using the beta.speckle online interface.

The following video shows how design variants can be filtered according to specified design and performance characteristics in the Design Explorer application:

 

How design alternatives can be assessed and evaluated in the Speckle online viewer, e.g. by comparing analysis results such as shading and sunlight hours analysis, can be seen in the following clip:

Building Typologies

Pol Foreman

In collaboration with the FCL synergy project Waterfront Tanjong Pagar led by Dietmar Leyk, we developed a parametric urban masterplan, which allows the generation of adequately detailed urban block typologies and buildings.

Presentation

Big Data Informed Urban Design and Governance

The Cognitive Design Computing (CoDeC) workstream is part of the Big Data Informed Urban Design and Governance project at the Future Cities Lab in Singapore. The video below gives an overview of all workstreams of the project and how they are related to each other.

Acknowledgement This research was conducted at the Future Cities Laboratory at the Singapore- ETH Centre, which was established cooperatively between ETH Zurich and Singapore’s National Research Foundation (FI 370074016) under its Campus for Research Excellence and Technological Enterprise programme (CREATE).

Related Publications

von Richthofen, A., Knecht, K., Miao, Y., & Koenig, R. (2018). The ‘Urban Elements’’ method for teaching parametric urban design to professionals.’ Frontiers of Architectural Research. https://doi.org/10.1016/j.foar.2018.08.002 Download
Miao, Y., Koenig, R., Knecht, K., Konieva, K., Buš, P., & Chang, M.-C. (2018). Computational urban design prototyping: Interactive planning synthesis methods—a case study in Cape Town. International Journal of Architectural Computing, 16(3), 212–226. https://doi.org/10.1177/1478077118798395
Konieva, K., Knecht, K., Osintseva, I., Vesely, O., & Koenig, R. (2018). Parametric assistance for complex urban planning processes: Three examples from Africa and South-East Asia. In Architecture, Civil Engineering and Urbanization (ACEU) Conference. Singapore. Retrieved from http://www.ace-conference.org/ Download
Dennemark, M., Schneider, S., Koenig, R., Abdulmawla, A., & Donath, D. (2017). Towards a modular design strategy for urban masterplanning: Experiences from a parametric urban design studio on emerging cities in Ethiopia (Vol. 1, pp. 485–494). Presented at the 35th eCAADe Conference, Rome. Download
Koenig, R., Miao, Y., Knecht, K., Buš, P., & Mei-chih, C. (2017). Interactive Urban Synthesis: Computational Methods for Fast Prototyping of Urban Design Proposals. In G. Çağdaş, M. Özkar, L. F. Gül, & E. Gürer (Eds.), Computer-Aided Architectural Design. Future Trajectories (CCIS 724, Vol. 724, pp. 23–41). Singapore: Springer. https://doi.org/10.1007/978-981-10-5197-5
Miao, Y., Koenig, R., Bus, P., Chang, M., Chirkin, A., & Treyer, L. (2017). Empowering urban design prototyping: a case study in Cape Town with interactive computational synthesis methods. In P. Janssen, P. Loh, A. Atomic, & M. A. Schnabel (Eds.), Protocols, Flows and Glitches, Proceedings of the 22nd International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) (pp. 407–416). Suzhou, China. Retrieved from http://papers.cumincad.org/data/works/att/caadria2017_058.pdf Download
Miao, Y., Koenig, R., Bus, P., Chang, M., Chirkin, A., & Treyer, L. (2017). Empowering urban design prototyping: a case study in Cape Town with interactive computational synthesis methods. In P. Janssen, P. Loh, A. Atomic, & M. A. Schnabel (Eds.), Protocols, Flows and Glitches, Proceedings of the 22nd International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) (pp. 407–416). Suzhou, China. Retrieved from http://papers.cumincad.org/data/works/att/caadria2017_058.pdf Download
Miao, Y., Koenig, R., & Knecht, K. (2017). City Afforestation : Abstracting the Urban Geometries into Tree Structures for Urban Fabric Optimization City Afforestation : Abstracting the Urban Geometries into Tree. In CUPUM: 15th International Conference on Computers in Urban Planning and Urban Management. Adelaide, Australia. Download
Koenig, R. (2015). Urban Design Synthesis for Building Layouts based on Evolutionary Many-Criteria Optimization. International Journal of Architectural Computing, 13(3+4), 257–270. https://doi.org/10.1260/1478-0771.13.3-4.257 Download
Koenig, R., & Standfest, M. (2014). Evolutionary multi-criteria optimization for building layout planning: Exemplary application based on the PSSA framework. In E. M. Thompson (Ed.), eCAADe 2014: Fusion: Data integration at its best (Vol. 2, pp. 567–574). https://doi.org/10.13140/2.1.4951.4888 Download
Koenig, R., Treyer, L., & Schmitt, G. (2013). Graphical smalltalk with my optimization system for urban planning tasks. In R. Stouffs & S. Sariyildiz (Eds.), Proceedings of the 31st eCAADe Conference – Volume 2 (pp. 195–203). Retrieved from http://cumincad.scix.net/cgi-bin/works/Show?_id=ecaade2013_197&sort=DEFAULT&search=Koenig Reinhard&hits=10 Download

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