Towards Adaptive Future Cities

A city, defined as a unity of inhabitants with their environment and showing self-creating and self-maintaining properties, can be considered as an autopoietic system if we take into account its bottom-up processes with unpredictable behaviour of its components. Such a property can lead to self-creation of urban patterns. These processes are studied in well-known vernacular architectures and informal settlements around the world and they are able to adapt according to various conditions and forces. The main research objective is to establish a computational design-modelling framework for modelling autopoietic intricate characteristics of a city based on an adaptability, self maintenance and self-generation of urban patterns with adequate visual representation. The research introduces a modelling methodology that allows to combine planning tasks with inhabitantsí interaction and data sources by using an interchange framework LUCI to model more complex urban dynamics. The research yields preliminary results tested in a simulation model of a redevelopment of Tanjong Pagar Waterfront, the container terminal in the city of Singapore being transformed into a new future centre as a conducted case study.


Keywords: Cognitive Design Computing, Interactive Urban Synthesis, Urban Computational Models, Future-Oriented Computational Design, Urban Metabolism; Urban Autopoiesis; Computational Interchange; Emergent Urban Strategies; Adaptive City.



Buš, P., Treyer, L. & Schmitt, G., (2017). Urban Autopoiesis: Towards Adaptive Future Cities. CAADRIA 2017 Protocols, Flows and Glitches, Xi’an Jiaotong­Liverpool University, Suzhou, China.

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PETER BUŠ  | bus@arch.ethz.ch |  +41 76 278 6087

LUKAS TREYER | treyer@arch.ethz.ch | +41 44 633 27 80