TY - GEN
T1 - An urban form-finding parametric model based on the study of spontaneous urban tissues
AU - Cheddadi, Mohammed Aqil
AU - Hotta, Kensuke
AU - Ikeda, Yasushi
N1 - Publisher Copyright:
© 2019 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong.
PY - 2019
Y1 - 2019
N2 - This research paper investigates the peculiarities of unplanned urban fabrics known for developing in a spontaneous way. By studying the characteristics of their urban form, a set of rules, functions, and objectives used for an experimental urban form-finding model are explored. Based on these features, the development of a parametric model seeks to grasp certain characteristics of spontaneous urban tissues in old Islamic cities and incorporate them into an experimental social housing proposal. By the use of genetic algorithms, the model aims to offer better adaptability and more diversification which will be to while still keeping a degree of preservation to the distinctive aspects that define those settlements. The use of a genetic solver is expected to be a problem-solving method that can simulate and offer a wide range of objective-based spatial that are considerably adaptive to particular urban contexts. In this study, we discuss the defining aspects and constituents of the urban form of these settings before interpreting them into algorithmic components to be incorporated in a parametric model.
AB - This research paper investigates the peculiarities of unplanned urban fabrics known for developing in a spontaneous way. By studying the characteristics of their urban form, a set of rules, functions, and objectives used for an experimental urban form-finding model are explored. Based on these features, the development of a parametric model seeks to grasp certain characteristics of spontaneous urban tissues in old Islamic cities and incorporate them into an experimental social housing proposal. By the use of genetic algorithms, the model aims to offer better adaptability and more diversification which will be to while still keeping a degree of preservation to the distinctive aspects that define those settlements. The use of a genetic solver is expected to be a problem-solving method that can simulate and offer a wide range of objective-based spatial that are considerably adaptive to particular urban contexts. In this study, we discuss the defining aspects and constituents of the urban form of these settings before interpreting them into algorithmic components to be incorporated in a parametric model.
KW - Genetic algorithms
KW - Islamic cities
KW - Multiple-objective optimization
KW - Spontaneous Urban tissues
KW - Urban form-finding
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M3 - Conference contribution
AN - SCOPUS:85068368962
T3 - Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
SP - 181
EP - 190
BT - Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
A2 - Haeusler, Matthias Hank
A2 - Schnabel, Marc Aurel
A2 - Fukuda, Tomohiro
PB - The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
T2 - 24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019
Y2 - 15 April 2019 through 18 April 2019
ER -
