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Urban Autopoiesis: Towards Adaptive Future Cities

Buš, Peter, Treyer, Lukas, Schmitt, Gerhard (2017) Urban Autopoiesis: Towards Adaptive Future Cities. In: Janssen, P. and Loh, P. and Raonic, A. and Schnabel, M.A., eds. Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference. . pp. 695-704. The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) ISBN 978-988-19026-8-9. (KAR id:68949)

Abstract

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 paper introduces a modelling methodology that allows to combine planning tasks with inhabitants` interaction and data sources by using an interchange framework 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.

Item Type: Conference or workshop item (Proceeding)
Uncontrolled keywords: Urban Metabolism, Urban Autopoiesis, Computational Interchange, Emergent Urban Strategies, Adaptive City
Subjects: N Visual Arts > NA Architecture
Divisions: Divisions > Division of Arts and Humanities > Kent School of Architecture and Planning
Depositing User: Peter Bus
Date Deposited: 06 Sep 2018 11:19 UTC
Last Modified: 05 Nov 2024 12:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/68949 (The current URI for this page, for reference purposes)

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