Could changes to building organization reduce the chance of disease spread? This question was explored in this project which developed a computational design-support tool to test safe-distancing measures enforced during the COVID-19 pandemic. The tool models scenarios for congestion in migrant worker dormitories (these dormitories experienced high rates of COVID-19 transmission in 2020.) Building from agent-based and network based computational simulations, the tool presents a hybrid method for simulating building resident movements based on known or pre-determined schedules and likely itineraries. This hybrid method affords the design tool a novel approach to simultaneous explore spatial and temporal design scenarios.
![](https://adaptivedesignlab.com/wp-content/uploads/2023/08/GLS_0017_001-1024x682.jpg)
![](https://adaptivedesignlab.com/wp-content/uploads/2023/08/Resilient-Design-ModelSetUp-e1691329843579-1024x660.jpg)
![](https://adaptivedesignlab.com/wp-content/uploads/2023/08/Resilient-Design-Agent-Tracks-1024x828.jpg)
![](https://adaptivedesignlab.com/wp-content/uploads/2023/08/Resilient-Design-ModelScheduleVariations-1024x442.jpg)
![](https://adaptivedesignlab.com/wp-content/uploads/2023/08/Resilient-Design-StudyFlowChart-1024x341.jpg)
![](https://adaptivedesignlab.com/wp-content/uploads/2023/08/Resilient-Design-Test-Options1-942x1024.jpg)
![](https://adaptivedesignlab.com/wp-content/uploads/2023/08/Resilient-Design-BaselineModel-1024x458.jpg)
Credits:
PI F Peter Ortner
PhD Student Tay Jing Zhi