Abstract
Crowd simulations provide a practical approach to evaluate building design alternatives with respect to human-centric criteria, such as evacuation times and flow in case of emergency scenarios. Coupled with Building Information Modeling (BIM) tools, they support architects’ iterative exploration of design alternatives. However, methods based on manually configuring a design and a corresponding simulation are not practical for exploring the potentially very large number of design solutions that satisfy human-centric design goals and requirements. Often, for practical reasons, designers may consider standard crowd configurations which do not capture the behavior of diverse occupants that may exhibit different locomotion abilities, movement patterns, and social behaviors. We posit that a joint exploration of high-dimensional building design and occupancy features is necessary to more accurately capture the mutual relations between buildings and the behavior of their occupants. To test this hypothesis, we conducted a series of experiments to automatically explore joint high dimensional design–occupancy patterns using an unsupervised pattern recognition technique (i.e. K-MEANS). We demonstrate that joint design–occupancy explorations provide more accurate results compared with sequential exploration processes that consider default design or crowd features, despite the longer computational times to simulate a large number of solutions. The findings of this case study have practical applications to the design of next-generation design exploration tools that support human-centric analyses in architectural design.
Original language | English |
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Title of host publication | Proceedings - MIG 2019 |
Subtitle of host publication | ACM Conference on Motion, Interaction, and Games |
Editors | Stephen N. Spencer |
Publisher | Association for Computing Machinery, Inc |
ISBN (Electronic) | 9781450369947 |
DOIs | |
State | Published - 28 Oct 2019 |
Externally published | Yes |
Event | 2019 ACM Conference on Motion, Interaction, and Games, MIG 2019 - Newcastle upon Tyne, United Kingdom Duration: 28 Oct 2019 → 30 Oct 2019 |
Publication series
Name | Proceedings - MIG 2019: ACM Conference on Motion, Interaction, and Games |
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Conference
Conference | 2019 ACM Conference on Motion, Interaction, and Games, MIG 2019 |
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Country/Territory | United Kingdom |
City | Newcastle upon Tyne |
Period | 28/10/19 → 30/10/19 |
Bibliographical note
Publisher Copyright:© 2019 Association for Computing Machinery.
Keywords
- Building occupancy
- Crowd simulation
- Human-centric analytics
- Multi-agent systems
- Parametric modeling
ASJC Scopus subject areas
- Computer Science Applications
- Human-Computer Interaction
- Education