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 proceedingConference PaperOtherpeer-review

15 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 languageEnglish
Title of host publication19th International Symposium on Transportation and Traffic Theory, ISTTT19
Subtitle of host publicationBerkeley, CA, United States, 18 - 20 July 2011
EditorsMichael J. Cassidy, Alexandros Skabardonis
Place of PublicationNetherlands
PublisherElsevier
Pages438-461
Number of pages24
DOIs
Publication statusPublished - 2011
EventInternational Symposium on Transportation and Traffic Theory 2011 - Berkeley, United States of America
Duration: 18 Jul 201120 Jul 2011
Conference number: 19th

Publication series

NameProcedia: Social and Behavioral Sciences
PublisherElsevier
Volume17
ISSN (Electronic)1877-0428

Conference

ConferenceInternational Symposium on Transportation and Traffic Theory 2011
CountryUnited States of America
CityBerkeley
Period18/07/1120/07/11

Keywords

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

Cite this

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). Netherlands: Elsevier. https://doi.org/10.1016/j.sbspro.2011.04.526
Shiwakoti, Nirajan ; Sarvi, Majid ; Rose, Geoff ; Burd, Martin. / 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).
@inproceedings{73341ac6a57348339ed1ebd835d51290,
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",
doi = "10.1016/j.sbspro.2011.04.526",
language = "English",
series = "Procedia: Social and Behavioral Sciences",
publisher = "Elsevier",
pages = "438--461",
editor = "Cassidy, {Michael J.} and Alexandros Skabardonis",
booktitle = "19th International Symposium on Transportation and Traffic Theory, ISTTT19",
address = "Netherlands",

}

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, 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; Burd, Martin.

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 proceedingConference PaperOtherpeer-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

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

UR - http://www.scopus.com/inward/record.url?scp=79960079580&partnerID=8YFLogxK

U2 - 10.1016/j.sbspro.2011.04.526

DO - 10.1016/j.sbspro.2011.04.526

M3 - Conference Paper

T3 - Procedia: Social and Behavioral Sciences

SP - 438

EP - 461

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

A2 - Cassidy, Michael J.

A2 - Skabardonis, Alexandros

PB - Elsevier

CY - Netherlands

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