Nguyen, B.V.D., Wang, T.-H. and Peng, C. orcid.org/0000-0001-8199-0955 (2019) Integration of agent-based modelling of social-spatial processes in architectural parametric design. Architectural Science Review, 63 (2). pp. 119-134. ISSN 0003-8628
Abstract
A representation framework for modelling the social-spatial processes of inhabitation is proposed to extend the scope of parametric architectural design process. We introduce an agent-based modelling framework with a computational model of social-spatial dynamics at its core. Architectural parametric design is performed as a process of modelling the temporal characteristics of spatial changes required for members of a social group to reach social spatial comfort. We have developed a prototype agent-based modelling system using the Rhino-Grasshopper platform. The system employs a human behaviour model adapted from the PECS (Physical, Emotional, Cognitive, Social) reference model first proposed by Schmidt and Urban. The agent-based model and its application was evaluated by comparative modelling of two real Vietnamese dwellings: a traditional vernacular house in Hue and a contemporary house in Ho Chi Minh City. The evaluation shows that the system returns differentiated temporal characteristics of spatial modifications of the two dwellings as expected.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Informa UK Limited, trading as Taylor & Francis Group. This is an author-produced version of a paper accepted for publication in Architectural Science Review. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | architectural parametric design; social-spatial processes; agent-based modelling; human behaviour modelling; social-spatial comfort |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 Jul 2019 10:55 |
Last Modified: | 07 Dec 2021 14:30 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/00038628.2019.1640107 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:148100 |