Joint exploration and analysis of high-dimensional design–occupancy templates

Muhammad Usman, Davide Schaumann, Brandon Haworth, Mubbasir Kapadia, Petros Faloutsos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


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 languageEnglish (US)
Title of host publicationProceedings - MIG 2019
Subtitle of host publicationACM Conference on Motion, Interaction, and Games
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450369947
StatePublished - Oct 28 2019
Event2019 ACM Conference on Motion, Interaction, and Games, MIG 2019 - Newcastle upon Tyne, United Kingdom
Duration: Oct 28 2019Oct 30 2019

Publication series

NameProceedings - MIG 2019: ACM Conference on Motion, Interaction, and Games


Conference2019 ACM Conference on Motion, Interaction, and Games, MIG 2019
Country/TerritoryUnited Kingdom
CityNewcastle upon Tyne

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Human-Computer Interaction
  • Education


  • Building occupancy
  • Crowd simulation
  • Human-centric analytics
  • Multi-agent systems
  • Parametric modeling


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