Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions

Nirajan Shiwakoti; Majid Sarvi; Geoff Rose; Martin Burd

doi:10.1016/j.sbspro.2011.04.526

Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions

Nirajan Shiwakoti, Majid Sarvi, Geoff Rose, Martin Burd

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

28 Citations (Scopus)

Abstract

Collective movement is important during emergencies such as natural disasters or terrorist attacks, when rapid egress is essential for escape. The development of quantitative theories and models to explain and predict the collective dynamics of pedestrians has been hindered by the lack of complementary data under emergency conditions. Collective patterns are not restricted to humans, but have been observed in other non-human biological systems. In this study, a mathematical model for crowd panic is derived from collective animal dynamics. The development and validation of the model is supported by data from experiments with panicking Argentine ants (Linepithema humile). A first attempt is also made to scale the model parameters for collective pedestrian traffic from those for ant traffic, by employing a scaling concept approach commonly used in biology.

Original language	English
Title of host publication	19th International Symposium on Transportation and Traffic Theory, ISTTT19
Subtitle of host publication	Berkeley, CA, United States, 18 - 20 July 2011
Editors	Michael J. Cassidy, Alexandros Skabardonis
Place of Publication	Netherlands
Publisher	Elsevier
Pages	438-461
Number of pages	24
DOIs	https://doi.org/10.1016/j.sbspro.2011.04.526
Publication status	Published - 2011
Event	International Symposium on Transportation and Traffic Theory 2011 - Berkeley, United States of America Duration: 18 Jul 2011 → 20 Jul 2011 Conference number: 19th

Publication series

Name	Procedia: Social and Behavioral Sciences
Publisher	Elsevier
Volume	17
ISSN (Electronic)	1877-0428

Conference

Conference	International Symposium on Transportation and Traffic Theory 2011
Country/Territory	United States of America
City	Berkeley
Period	18/07/11 → 20/07/11

Keywords

Ants
Biological entities
Collective patterns
Crowd dynamics
Evacuation
Pedestrians panic
Scaling
Self-organization
Traffic dynamics

UN SDGs

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

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10.1016/j.sbspro.2011.04.526Licence: CC BY-NC-ND

149878482-oaFinal published version, 818 KBLicence: CC BY-NC-ND

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Shiwakoti, N., Sarvi, M., Rose, G., & Burd, M. (2011). Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions. In M. J. Cassidy, & A. Skabardonis (Eds.), 19th International Symposium on Transportation and Traffic Theory, ISTTT19 : Berkeley, CA, United States, 18 - 20 July 2011 (pp. 438-461). (Procedia: Social and Behavioral Sciences; Vol. 17). Elsevier. https://doi.org/10.1016/j.sbspro.2011.04.526

Shiwakoti, Nirajan ; Sarvi, Majid ; Rose, Geoff et al. / Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions. 19th International Symposium on Transportation and Traffic Theory, ISTTT19 : Berkeley, CA, United States, 18 - 20 July 2011. editor / Michael J. Cassidy ; Alexandros Skabardonis. Netherlands : Elsevier, 2011. pp. 438-461 (Procedia: Social and Behavioral Sciences).

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title = "Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions",

abstract = "Collective movement is important during emergencies such as natural disasters or terrorist attacks, when rapid egress is essential for escape. The development of quantitative theories and models to explain and predict the collective dynamics of pedestrians has been hindered by the lack of complementary data under emergency conditions. Collective patterns are not restricted to humans, but have been observed in other non-human biological systems. In this study, a mathematical model for crowd panic is derived from collective animal dynamics. The development and validation of the model is supported by data from experiments with panicking Argentine ants (Linepithema humile). A first attempt is also made to scale the model parameters for collective pedestrian traffic from those for ant traffic, by employing a scaling concept approach commonly used in biology.",

keywords = "Ants, Biological entities, Collective patterns, Crowd dynamics, Evacuation, Pedestrians panic, Scaling, Self-organization, Traffic dynamics",

author = "Nirajan Shiwakoti and Majid Sarvi and Geoff Rose and Martin Burd",

year = "2011",

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language = "English",

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editor = "Cassidy, {Michael J.} and Alexandros Skabardonis",

booktitle = "19th International Symposium on Transportation and Traffic Theory, ISTTT19",

address = "Netherlands",

note = "International Symposium on Transportation and Traffic Theory 2011 ; Conference date: 18-07-2011 Through 20-07-2011",

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Shiwakoti, N, Sarvi, M, Rose, G & Burd, M 2011, Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions. in MJ Cassidy & A Skabardonis (eds), 19th International Symposium on Transportation and Traffic Theory, ISTTT19 : Berkeley, CA, United States, 18 - 20 July 2011. Procedia: Social and Behavioral Sciences, vol. 17, Elsevier, Netherlands, pp. 438-461, International Symposium on Transportation and Traffic Theory 2011, Berkeley, California, United States of America, 18/07/11. https://doi.org/10.1016/j.sbspro.2011.04.526

Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions. / Shiwakoti, Nirajan; Sarvi, Majid; Rose, Geoff et al.

19th International Symposium on Transportation and Traffic Theory, ISTTT19 : Berkeley, CA, United States, 18 - 20 July 2011. ed. / Michael J. Cassidy; Alexandros Skabardonis. Netherlands : Elsevier, 2011. p. 438-461 (Procedia: Social and Behavioral Sciences; Vol. 17).

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

TY - GEN

T1 - Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions

AU - Shiwakoti, Nirajan

AU - Sarvi, Majid

AU - Rose, Geoff

AU - Burd, Martin

N1 - Conference code: 19th

PY - 2011

Y1 - 2011

N2 - Collective movement is important during emergencies such as natural disasters or terrorist attacks, when rapid egress is essential for escape. The development of quantitative theories and models to explain and predict the collective dynamics of pedestrians has been hindered by the lack of complementary data under emergency conditions. Collective patterns are not restricted to humans, but have been observed in other non-human biological systems. In this study, a mathematical model for crowd panic is derived from collective animal dynamics. The development and validation of the model is supported by data from experiments with panicking Argentine ants (Linepithema humile). A first attempt is also made to scale the model parameters for collective pedestrian traffic from those for ant traffic, by employing a scaling concept approach commonly used in biology.

AB - Collective movement is important during emergencies such as natural disasters or terrorist attacks, when rapid egress is essential for escape. The development of quantitative theories and models to explain and predict the collective dynamics of pedestrians has been hindered by the lack of complementary data under emergency conditions. Collective patterns are not restricted to humans, but have been observed in other non-human biological systems. In this study, a mathematical model for crowd panic is derived from collective animal dynamics. The development and validation of the model is supported by data from experiments with panicking Argentine ants (Linepithema humile). A first attempt is also made to scale the model parameters for collective pedestrian traffic from those for ant traffic, by employing a scaling concept approach commonly used in biology.

KW - Ants

KW - Biological entities

KW - Collective patterns

KW - Crowd dynamics

KW - Evacuation

KW - Pedestrians panic

KW - Scaling

KW - Self-organization

KW - Traffic dynamics

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BT - 19th International Symposium on Transportation and Traffic Theory, ISTTT19

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ER -

Shiwakoti N, Sarvi M, Rose G, Burd M. Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions. In Cassidy MJ, Skabardonis A, editors, 19th International Symposium on Transportation and Traffic Theory, ISTTT19 : Berkeley, CA, United States, 18 - 20 July 2011. Netherlands: Elsevier. 2011. p. 438-461. (Procedia: Social and Behavioral Sciences). https://doi.org/10.1016/j.sbspro.2011.04.526

Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions

Abstract

Publication series

Conference

Keywords

UN SDGs

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Research output

Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions

Cite this