Srinivasan, AR orcid.org/0000-0001-9280-7837, Karan, FSN and Chakraborty, S (2017) Pedestrian dynamics with explicit sharing of exit choice during egress through a long corridor. Physica A: Statistical Mechanics and its Applications, 468. pp. 770-782. ISSN 0378-4371
Abstract
The egress literature abounds with studies and models of emergency pedestrian evacuation behavior. Each model tries to incorporate more details and features of the crowd movement dynamics to improve its accuracy. This paper combines a relatively simple pedestrian motion model with a position dependent Voter model to study the effects of opinion sharing on crowd evacuation characteristics. Effect of the presence of leaders on the final outcome of the evacuation is studied in detail. An analytical solution for a simplified version of the egress dynamics with opinion exchange is presented, followed by a set of numerical simulations. Interesting findings about the effect of the strength of interaction between individuals, number and distribution of leaders and initial bias of the evacuees on the final distribution of evacuees over available exits, mean number of steps to evacuate, etc. are presented.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier B.V. All rights reserved. This is an author produced version of an article published in Physica A: Statistical Mechanics and its Applications. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Egress modeling; Hybrid model—motion and opinion sharing model; Analytical solution; Effect of leaders |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Jun 2020 11:43 |
Last Modified: | 25 Jun 2023 22:19 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.physa.2016.11.118 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162143 |
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