Abstract
In this paper, we present a method for generating fast conceptual urban design prototypes. We synthesize spatial configurations for street networks, parcels and building volumes. Therefore, we address the problem of implementing custom data structures for these configurations and how the generation process can be controlled and parameterized. We exemplify our method by the development of new components for Grasshopper/Rhino3D and their application in the scope of selected case studies. By means of these components, we show use case applications of the synthesis algorithms. In the conclusion, we reflect on the advantages of being able to generate fast urban design prototypes, but we also discuss the disadvantages of the concept and the usage of Grasshopper as a user interface.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rouse, M.: Cognitive computing. In: WhatIs.com. http://whatis.techtarget.com/definition/cognitive-computing (2014). Accessed 15 March 2016
Koenig, R., Schmitt, G.: Backcasting and a new way of command in computational design. In: CAADence Archit, Budapest, pp. 15–25 (2016)
Radford, A., Gero, J.S.: Design by Optimization in Architecture, Building and Construction. Van Nostrand Reinhold, New York, Wokingham (1988)
Cagan, J., Campbell, M.I., Finger, S., Tomiyama, T.: A framework for computational design synthesis: model and applications. J. Comput. Inf. Sci. Eng. 5, 171–181 (2005). doi:10.1115/1.2013289
Weber, B., Müller, P., Wonka, P., Gross, M.: Interactive geometric simulation of 4D cities. In: Eurographics, pp. 481–492 (2009)
Parish, Y., Müller, P.: Procedural modeling of cities. SIGGRAPH, pp. 301–308. ACM, Los Angeles, CA (2001)
Chen, G., Esch, G., Wonka, P., et al.: Interactive procedural street modeling. ACM Trans. Graph. 27, 10 (2008). doi:10.1145/1360612.1360702
Müller, P., Wonka, P., Haegler, S., et al.: Procedural modeling of buildings. In: (TOG) ACMT on G (ed) ACM SIGGRAPH, pp. 614–623. ACM Press, Boston (2006)
Mitchell, J., Steadman, P., Liggett, R.S.: Synthesis and optimization of small rectangular floor plans. Environ. Plan. B Plan. Des. 3, 37–70 (1976)
Stiny, G., Mitchell, J.: The palladian grammar. Environ. Plan. B Plan. Des. 5, 5–18 (1978)
Duarte, J.P.: A discursive grammar for customizing mass housing: the case of Siza’s houses at Malagueira. Autom. Constr. 14, 265–275 (2005). doi:10.1016/j.autcon.2004.07.013
Duarte, J.P., de Rocha, J.M., Soares, G.D.: Unveiling the structure of the Marrakech Medina: A shape grammar and an interpreter for generating urban form. Artif. Intell. Eng. Des. Anal. Manuf. 21, 317–349 (2007)
Doulgerakis, A.: Genetic Programming + Unfolding Embryology in Automated Layout Planning. University College London (2007)
O’Neill, M., McDermott, J., Swafford, J.M., et al.: Evolutionary design using grammatical evolution and shape grammars: designing a shelter. Int. J. Des. Eng. 3, 4–24 (2010)
Braach, M.: Programmieren statt Zeichnen: Kaisersrot. archithese (2002)
Braach, M.: Solutions you cannot draw. Archit. Des. 84, 46–53 (2014). doi:10.1002/ad.1807
Coates, P., Derix, C.: The deep structure of the picturesque. Archit. Des. 84, 32–37 (2014). doi:10.1002/ad.1805
Koenig, R.: CPlan: an open source library for computational analysis and synthesis. In: Martens, B., Wurzer, G.T.G., et al. (eds.) Real Time—Proceedings of the 33rd eCAADe Conference on Vienna University of Technology, Vienna, pp. 245–250 (2015)
Koenig, R.: CPlan Group (2015). http://cplan-group.net/. Accessed 28 May 2015
Koenig, R., Treyer, L., Schmitt, G.: Graphical smalltalk with my optimization system for urban planning tasks. In: Stouffs, R., Sariyildiz, S. (eds.) Proceedings of the 31st eCAADe Conference—vol. 2, Delft, Netherlands, pp. 195–203 (2013)
Knecht, K., Koenig, R.: Generating floor plan layouts with k-d trees and evolutionary algorithms. In: GA2010—13th Generative Art Conference (2010)
Koenig, R., Knecht, K.: Comparing two evolutionary algorithm based methods for layout generation: dense packing versus subdivision. Artif. Intell. Eng. Des. Anal. Manuf. 28, 285–299 (2014). doi:10.1017/S0890060414000237
Miao, Y., Koenig, R., Bus, P., et al.: Empowering urban design prototyping: a case study in Cape Town with interactive computational synthesis methods. In: Janssen, P., Loh, P., Atomic, A., Schnabel, M.A. (eds.) Protoc. Flows Glitches, Proceedings of the 22nd International Conference on Association Computers in Architecture Design and Research in Asia, Hong Kong, pp. 407–416 (2017)
Knecht, K., Koenig, R.: Automatische Grundstücksumlegung mithilfe von Unterteilungsalgorithmen und typenbasierte Generierung von Stadtstrukturen. Bauhaus-Universität Weimar, Weimar (2012)
Hansen, D.L., Shneiderman, B., Smith, M.A.: Analyzing Social Media Networks with NodeXL: Insights from a Connected World. Morgan Kaufmann, Burlington (2011)
Turner, A.: From axial to road-centre lines: a new representation for space syntax and a new model of route choice for transport network analysis. Environ. Plan. B Plan. Des. 34, 539–555 (2007)
Fuchkina, E.: Pedestrian Movement Graph Analysis. Weimar (2016)
Schneider, S., Koenig, R.: Exploring the generative potential of isovist fields: the evolutionary generation of urban layouts based on isovist field properties. In: 30th International Conference on Education Research in Computer Aided Architectural Design in Europe, Prague, pp. 355–363 (2012)
König, R., Schmitt, G., Standfest, M.: Cognitive computing for urban design. Virtual real plan. Urban Des. Perspect. Pract. Appl. (2017)
Simon, H.A.: The Sciences of the Artificial, 3rd edn. MIT Press, Cambridge (1969)
Koenig, R.: Urban design synthesis for building layouts urban design synthesis for building layouts based on evolutionary many-criteria optimization. Int. J. Archit. Comput. 13, 257–270 (2015). doi:10.1260/1478-0771.13.3-4.257
Bielik, M., Schneider, S., Koenig, R.: Parametric urban patterns: exploring and integrating graph-based spatial properties in parametric urban modelling. In: eCAADe 2012 (2012)
URA: Master Plan Greater Southern Waterfront (2014). https://www.ura.gov.sg/uol/master-plan/View-Master-Plan/master-plan-2014/master-plan/Regional-highlights/central-area/central-area/Greater-southern-waterfront.aspx. Accessed 15 Feb 2017
Acknowledgement
The research presented in this paper was partially conducted at the Future Cities Laboratory at the Singapore-ETH Centre, which was established collaboratively between ETH Zurich and Singapore’s National Research Foundation (FI 370074016) under its Campus for Research Excellence and Technological Enterprise program. Some methods presented in the paper were developed as part of the research project ESUM: Analyzing trade-offs between the energy and social performance of urban morphologies funded by the German Research Foundation (DFG) and the Swiss National Science Foundation (SNF, project number 100013L_149552).
There is a demo video for the generative process illustrated in Fig. 16 at https://vimeo.com/191807352 and https://vimeo.com/212540621. The process for generating the urban fabrics shown in Figs. 11, 12, 13 and 14 is shown in this video: https://www.youtube.com/watch?v=ELUKfsx89og&feature=youtu.be
The Rhino3D/Grasshopper components can be downloaded from the website of the Computational Planning Group: http://cplan-group.net/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Koenig, R., Miao, Y., Knecht, K., Buš, P., Mei-Chih, C. (2017). Interactive Urban Synthesis. In: Çağdaş, G., Özkar, M., Gül, L., Gürer, E. (eds) Computer-Aided Architectural Design. Future Trajectories. CAADFutures 2017. Communications in Computer and Information Science, vol 724. Springer, Singapore. https://doi.org/10.1007/978-981-10-5197-5_2
Download citation
DOI: https://doi.org/10.1007/978-981-10-5197-5_2
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5196-8
Online ISBN: 978-981-10-5197-5
eBook Packages: Computer ScienceComputer Science (R0)