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Self-organising floor plans in care homes

Self-organising floor plans in care homes

Carta, Silvio ORCID: 0000-0002-7586-3121, Turchi, Tommaso, St Loe, Stephanie and Simon, Joel (2020) Self-organising floor plans in care homes. Sustainability, 12 (11). pp. 1-16. ISSN 2071-1050 (doi:

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This paper presents and discusses an optimisation approach applied to spatial layouts in care home building design. With this study, we introduce a method for increasing the floor plan efficiency using a self-organising genetic algorithm, thus reducing energy consumption, improving the wellbeing of residents and having an implicit impact on the costs of energy and health care. In order to find an optimal spatial configuration, we elaborated and tested a number of design criteria based on existing literature reviews and interpreted through initial considerations of care home layouts. These are used as objectives in a Genetic Algorithm (GA) to evaluate the best design solution. The self-organised floor plan is then used to run a final simulation to observe how residents could use the optimised spaces and to measure the improved efficiency of the new plans. The paper concludes with the discussion of the results and some considerations for future studies and experiments using emergence behaviour models to improve sustainable development in design.

Item Type: Article
Additional Information: This article belongs to the Special Issue Self-Organised Simulation for Sustainable Building Design.
Uncontrolled Keywords: care homes; spatial layouts; care home design; generative design; genetic algorithms; agent-based simulation
Subjects: N Fine Arts > NA Architecture
N Fine Arts > NC Drawing Design Illustration
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > School of Design (DES)
Last Modified: 17 Oct 2023 22:06

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