Journals / A|Z ITU Mimarlık Fakültesi Dergisi / 2016 / Cilt: 13 - Sayı: 3

A parametric landscape urbanism method: The search for an optimal solution

Pages
155–165
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The method can potentially be applied to other site domains and optimization problems.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Through ecological awareness, different methods have been investigated to explore the relationship between nature and design.
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Key Findings & Data:As a result, a solution space is generated by creating iterations for green area distribution and determining their green area ratios.
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Conclusion & Impact:The method can potentially be applied to other site domains and optimization problems.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Through ecological awareness, different methods have been investigated to explore the relationship between nature and design. Additionally, digital techniques and methods have begun to dominate all fields of professions, including design disciplines. Landscape is an integral part of a city's public domain. The concept of Landscape Urbanism prioritizes landscape over building design in urban planing through the use of advanced digital techniques. Although there are studies and projects in this field, they lack a method that can be implemented for the organizational principles of a masterplan and the distribution of green-areas by creating iterations. A parametric landscape urbanism method has been developed and applied as the concept of a self-sufficient micro-nation located in Europe. The methodology uses principles that consist of three stages: defining the site's constraints, generating computational geometry, and the optimization process, which uses evolutionary algorithms. As a result, a solution space is generated by creating iterations for green area distribution and determining their green area ratios. The method can potentially be applied to other site domains and optimization problems.

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Cite This Article

YAZICI, S. (2016). A parametric landscape urbanism method: The search for an optimal solution. A|Z ITU Mimarlık Fakültesi Dergisi, Cilt: 13 - Sayı: 3, 155–165. https://ajindex.com/articles/148541

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References (12)

  1. Bergen,S. D., McGaughey, R.J, Fridley,J. L. (1998). Data-driven simulation, dimensional accuracy and realism in a landscape visualization tool. Landscape and Urban Planning, 40, 283-293.
  2. Castro, E., Ramírez, J. A, Rico, E. (2013). The Grounds of a Renewed Practice. Architectural Design, 78-86.
  3. Çolakoğlu, B. (2006). Explorations in Teaching Design Students to Think and Produce Computationally Communicating Space(s).Proceedings of 24th eCAADe Conference, Volos, Greece; 826-831.
  4. Dimcic, M. (2011).Structural Optimization of Grid Shells Based on Genetic Algorithms.PhD dissertation. Institute of Building Structures and Structural Design, University of Stuttgart. Erdem, M. (2012). Revaluating ecology in contemporary landscape design, A|Z ITU Journal of the Faculty of Architecture, 9, 1, 37-55. Ervin,S.M. (2001). Digital landscape modeling and visualization: A research agenda. Landscape and Urban Planning, 54, 49-62.
  5. Eşbah, H., Erdoğan M. A., Akin Tanrıöver A. (2011).Cellular automata-Markov chain and landscape metrics for landscape planning, A|Z ITU Journal of the Faculty of Architecture, 8, 2, 63-79.
  6. Frazer, J. (1995). An Evolutionary Architecture. AA Publications, London. Frazer,J. (2016). Parametric Computation: History and Future. Architectural Design. 18-23. Galapagos. Retrieved from http:// www.grasshopper3d.com/profiles/ blogs/evolutionary-principles. Access date: 14. 08. 2016
  7. Holden, R., Liversedge, J. (2014). Landscape Architecture: An Introduction. Laurence King Publishing, London. Kawamura, H., H. Ohmori. (2001). Computational Morphogenesis of Discrete Structures via Genetic Algorithms.Memoirs of the School of Engineering, Nagoya University, 53, 1/2, 28-55.
  8. Kvan, T., Mark, E., Oxman, R.,Martens, B. (2004). Ditching theDinosaur: Redefining the Role of Digital Media in Education.InternationalJournal of Design Computing. Mostafavi, M., Doherty, G. (2010). Ecological Urbanism. University Graduate School of Design, Lars Müller Publishers.
  9. Moughtin, C., Shirley, P. (2006). Urban Design: Green Dimesions, Architectural Press,
  10. Elsevier, Boston. Pallasmaa, J. (2007). New Architectural Horizons. Architectural Design, 16-23.
  11. Palmboom, F. (2010). Drawing the ground: Landscape urbanism today. Birkhaeuser, Basel. Passino, K.M. (2005).
  12. Biomimicry for Optimization, Control and Automation. Springer Verlag, London. Piegl, L., Tiller, W. (1997).The Nurbs Book. Springer-Verlag, Berlin. Schumacher, P. (2009). Parametricism: A New Global Style for Architecture and Urban Desi