Selected article for: "large scale and virus risk"

Author: Lee, B.; Lee, M.; Mogk, J.; Goldstein, R.; Bibliowicz, J.; Tessier, A.
Title: Designing a Multi-Agent Occupant Simulation System to Support Facility Planning and Analysis for COVID-19
  • Cord-id: 8yx649wg
  • Document date: 2021_1_1
  • ID: 8yx649wg
    Snippet: The COVID-19 pandemic changed our lives, forcing us to reconsider our built environment, architectural designs, and even behaviours. Multiple stakeholders, including designers, building facility managers, and policy makers, are making decisions to reduce SARS-CoV-2 virus transmission and make our environment safer;however, systems to effectively and interactively evaluate virus transmission in physical spaces are lacking. To help fill this gap, we propose OccSim, a system that automatically gene
    Document: The COVID-19 pandemic changed our lives, forcing us to reconsider our built environment, architectural designs, and even behaviours. Multiple stakeholders, including designers, building facility managers, and policy makers, are making decisions to reduce SARS-CoV-2 virus transmission and make our environment safer;however, systems to effectively and interactively evaluate virus transmission in physical spaces are lacking. To help fill this gap, we propose OccSim, a system that automatically generates occupancy behaviours in a 3D model of a building and helps users analyze the potential effect of virus transmission from a large-scale and longitudinal perspective. Our participatory evaluation with four groups of stakeholders revealed that OccSim could enhance their decision making processes by identifying specific risks of virus transmission in advance, and illuminating how each risk relates to complex human-building interactions. We reflect on our design and discuss OccSim's potential implications in the domains of gdesign evaluation,' ggenerative design,' and gdigital twins.' © 2021 ACM.

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