A Social Distancing Index: Evaluating Navigational Policies on Human Proximity using Crowd Simulations

Muhammad Usman; Tien Chi Lee; Ryhan Moghe; Xun Zhang; Petros Faloutsos; Mubbasir Kapadia

doi:10.1145/3424636.3426905

A Social Distancing Index: Evaluating Navigational Policies on Human Proximity using Crowd Simulations

Muhammad Usman, Tien Chi Lee, Ryhan Moghe, Xun Zhang, Petros Faloutsos, Mubbasir Kapadia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

The importance of social distancing for public health is well established. However, the policies and regulations regarding occupancy rates have not been designed with this in mind. While there are analytical tools and related measures that are used in practice to evaluate how the design of a built environment serves the needs of its intended occupants, these metrics cannot directly apply to the problem of preventing the spread of infectious diseases such as COVID-19. By using a crowd-based simulator using three levels of behavior and agent control in a given environment, a novel evaluation metric for a space layout can be calculated to reflect the proclivity of maintaining a safe distance throughout the shopping experience. We refer to this metric as the Social Distancing Index (SDI), accounting for the occupancy throughput and number of distance-based violations found. Through a case study of a realistic retail store, we demonstrate the proposed platforms performance and output on multiple scenarios by changing agent-behavior, occupancy rate, and navigational guidelines.

Original language	English
Title of host publication	Proceedings - MIG 2020
Subtitle of host publication	13th ACM SIGGRAPH Conference on Motion, Interaction, and Games
Editors	Stephen N. Spencer
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450381710
DOIs	https://doi.org/10.1145/3424636.3426905
State	Published - 16 Oct 2020
Externally published	Yes
Event	13th ACM SIGGRAPH Conference on Motion, Interaction, and Games, MIG 2020 - Virtual, Online, United States Duration: 16 Oct 2020 → 18 Oct 2020

Publication series

Name	Proceedings - MIG 2020: 13th ACM SIGGRAPH Conference on Motion, Interaction, and Games

Conference

Conference	13th ACM SIGGRAPH Conference on Motion, Interaction, and Games, MIG 2020
Country/Territory	United States
City	Virtual, Online
Period	16/10/20 → 18/10/20

Bibliographical note

Publisher Copyright:
© 2020 ACM.

Keywords

agent-based simulation
built environment
crowd-aware analysis
social distancing

ASJC Scopus subject areas

Computer Science Applications
Human-Computer Interaction
Education

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3424636.3426905

Cite this

Usman, M., Lee, T. C., Moghe, R., Zhang, X., Faloutsos, P., & Kapadia, M. (2020). A Social Distancing Index: Evaluating Navigational Policies on Human Proximity using Crowd Simulations. In S. N. Spencer (Ed.), Proceedings - MIG 2020: 13th ACM SIGGRAPH Conference on Motion, Interaction, and Games Article 3426905 (Proceedings - MIG 2020: 13th ACM SIGGRAPH Conference on Motion, Interaction, and Games). Association for Computing Machinery, Inc. https://doi.org/10.1145/3424636.3426905

Usman, Muhammad ; Lee, Tien Chi ; Moghe, Ryhan et al. / A Social Distancing Index : Evaluating Navigational Policies on Human Proximity using Crowd Simulations. Proceedings - MIG 2020: 13th ACM SIGGRAPH Conference on Motion, Interaction, and Games. editor / Stephen N. Spencer. Association for Computing Machinery, Inc, 2020. (Proceedings - MIG 2020: 13th ACM SIGGRAPH Conference on Motion, Interaction, and Games).

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abstract = "The importance of social distancing for public health is well established. However, the policies and regulations regarding occupancy rates have not been designed with this in mind. While there are analytical tools and related measures that are used in practice to evaluate how the design of a built environment serves the needs of its intended occupants, these metrics cannot directly apply to the problem of preventing the spread of infectious diseases such as COVID-19. By using a crowd-based simulator using three levels of behavior and agent control in a given environment, a novel evaluation metric for a space layout can be calculated to reflect the proclivity of maintaining a safe distance throughout the shopping experience. We refer to this metric as the Social Distancing Index (SDI), accounting for the occupancy throughput and number of distance-based violations found. Through a case study of a realistic retail store, we demonstrate the proposed platforms performance and output on multiple scenarios by changing agent-behavior, occupancy rate, and navigational guidelines.",

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Usman, M, Lee, TC, Moghe, R, Zhang, X, Faloutsos, P & Kapadia, M 2020, A Social Distancing Index: Evaluating Navigational Policies on Human Proximity using Crowd Simulations. in SN Spencer (ed.), Proceedings - MIG 2020: 13th ACM SIGGRAPH Conference on Motion, Interaction, and Games., 3426905, Proceedings - MIG 2020: 13th ACM SIGGRAPH Conference on Motion, Interaction, and Games, Association for Computing Machinery, Inc, 13th ACM SIGGRAPH Conference on Motion, Interaction, and Games, MIG 2020, Virtual, Online, United States, 16/10/20. https://doi.org/10.1145/3424636.3426905

A Social Distancing Index: Evaluating Navigational Policies on Human Proximity using Crowd Simulations. / Usman, Muhammad; Lee, Tien Chi; Moghe, Ryhan et al.
Proceedings - MIG 2020: 13th ACM SIGGRAPH Conference on Motion, Interaction, and Games. ed. / Stephen N. Spencer. Association for Computing Machinery, Inc, 2020. 3426905 (Proceedings - MIG 2020: 13th ACM SIGGRAPH Conference on Motion, Interaction, and Games).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Usman M, Lee TC, Moghe R, Zhang X, Faloutsos P, Kapadia M. A Social Distancing Index: Evaluating Navigational Policies on Human Proximity using Crowd Simulations. In Spencer SN, editor, Proceedings - MIG 2020: 13th ACM SIGGRAPH Conference on Motion, Interaction, and Games. Association for Computing Machinery, Inc. 2020. 3426905. (Proceedings - MIG 2020: 13th ACM SIGGRAPH Conference on Motion, Interaction, and Games). doi: 10.1145/3424636.3426905

A Social Distancing Index: Evaluating Navigational Policies on Human Proximity using Crowd Simulations

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this