Reinterpreting self-organizing urban tissues by designing a generative model

Mohammed Aqil Cheddadi, Kensuke Hotta, Yasushi Ikeda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This research discusses designing an experimental framework to reinterpret the urban form of self-organizing traditional Islamic cities with computational design tools. These types of ancient urban tissues are characterized with emergent behaviour that is expressed through the incorporation, in their spatial structure, of apparent randomness and inherent complex organization. The said framework highlights some of the important physiological and organisational features of theses urban environments before reinterpreting to be incorporated in a computational design process. A set of functional constraints and objectives inspired by characteristics of the aforementioned urban settings are defined for a form-generation algorithm. This methodology is described through a threefold process comprising of formulation, generation and evaluation steps that allow for the optimization of the urban form. While making use of algorithmic design software to define the components for a generative urban design model, this research also uses multi-objective optimization evolutionary algorithms as a theoretical basis for the optimization and analysis of this model. An evolutionary computing solver and Pareto front evaluation methodology are used in order to evaluate and visualize a multitude of optimized solutions. Built on these features, the development of an experimental urban model means both to explore the generation of proposed results and to develop the design system behind it.

Original languageEnglish
Title of host publicationRevisiting the Role of Architecture for Surviving Development
Subtitle of host publication53rd International Conference of the Architectural Science Association, ANZAScA 2019 - Proceedings
EditorsAvlokita Agrawal, Rajat Gupta
PublisherArchitectural Science Association
Pages175-184
Number of pages10
ISBN (Electronic)9780992383565
Publication statusPublished - 2019
Event53rd International Conference of the Architectural Science Association, ANZAScA 2019 - Roorkee, India
Duration: 2019 Nov 282019 Nov 30

Publication series

NameProceedings of the International Conference of Architectural Science Association
Volume2019-November
ISSN (Electronic)2209-3850

Conference

Conference53rd International Conference of the Architectural Science Association, ANZAScA 2019
CountryIndia
CityRoorkee
Period19/11/2819/11/30

Keywords

  • Generative design
  • Multi-objective optimization
  • Pareto efficiency
  • Urban form

ASJC Scopus subject areas

  • Architecture
  • Building and Construction
  • Management, Monitoring, Policy and Law
  • Environmental Engineering
  • Renewable Energy, Sustainability and the Environment
  • Urban Studies

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  • Cite this

    Cheddadi, M. A., Hotta, K., & Ikeda, Y. (2019). Reinterpreting self-organizing urban tissues by designing a generative model. In A. Agrawal, & R. Gupta (Eds.), Revisiting the Role of Architecture for Surviving Development: 53rd International Conference of the Architectural Science Association, ANZAScA 2019 - Proceedings (pp. 175-184). (Proceedings of the International Conference of Architectural Science Association; Vol. 2019-November). Architectural Science Association.