Next Article in Journal
Influence of Business Commitment to Sustainability, Perceived Value Fit, and Gender in Job Seekers’ Pursuit Intentions: A Cross-Country Moderated Mediation Analysis
Next Article in Special Issue
Experiments with Self-Organised Simulation of Movement of Infectious Aerosols in Buildings
Previous Article in Journal
Performance Evaluation and Design of Thermo-Responsive SMP Shading Prototypes

Self-Organising Floor Plans in Care Homes

School of Creative Arts, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK
Wilson School of Design, Kwantlen Polytechnic University, 12666 72 Avenue, Surrey, BC V3W 2M8, Canada
Department of Computer Science, Brunel University, Kingston Lane, Uxbridge UB8 3PH, UK
Morphogen, 325 E 84th Street, New York, NY 10028, USA
Author to whom correspondence should be addressed.
Sustainability 2020, 12(11), 4393;
Received: 29 April 2020 / Revised: 18 May 2020 / Accepted: 20 May 2020 / Published: 27 May 2020
(This article belongs to the Special Issue Self-Organised Simulation for Sustainable Building Design)
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. View Full-Text
Keywords: care homes; spatial layouts; care home design; generative design; genetic algorithms; agent-based simulation care homes; spatial layouts; care home design; generative design; genetic algorithms; agent-based simulation
Show Figures

Figure 1

MDPI and ACS Style

Carta, S.; St. Loe, S.; Turchi, T.; Simon, J. Self-Organising Floor Plans in Care Homes. Sustainability 2020, 12, 4393.

AMA Style

Carta S, St. Loe S, Turchi T, Simon J. Self-Organising Floor Plans in Care Homes. Sustainability. 2020; 12(11):4393.

Chicago/Turabian Style

Carta, Silvio, Stephanie St. Loe, Tommaso Turchi, and Joel Simon. 2020. "Self-Organising Floor Plans in Care Homes" Sustainability 12, no. 11: 4393.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop