Literature DB >> 34334928

Exit choice during evacuation is influenced by both the size and proportion of the egressing crowd.

Max Kinateder1,2, William H Warren2.   

Abstract

It is unclear how building occupants take information from the social and built environment into account when choosing an egress route during emergency evacuation. Conflicting tendencies have been previously reported: to follow the crowd, to avoid congestion, and to avoid unknown egress routes alone. We hypothesize that these tendencies depend on an interaction between social influence and the affordances (opportunities for egress) of the built environment. In three virtual reality (VR) experiments (each N = 15), we investigated how social influence interacts with the affordances of available exits to determine exit choice. Participants were immersed in a crowd of virtual humans walking to the left or right exit, and were asked to walk to one of the exits. Experiment 1 tested the role of social influence by manipulating both the proportion of the crowd walking toward one exit (Crowd Proportion of 0 to 100%, in 10% increments) and the absolute number of virtual humans going to the exit (Crowd Size of 10 or 20). Experiment 2 tested the role of affordances by introducing two visible exit doors (1m width) in a closed room, and following the same protocol. Experiment 3 tested larger exit doors (3m width) that afford rapid egress for more people. In the small crowd, participants were increasingly likely to follow the majority as its proportion increased. In the large crowd, however, participants tended to avoid the more crowded exit if the doors were narrow (Experiment 2), but not if the doors were wide (Experiment 3). Participants tended to follow a 100% majority in all experiments, thereby avoiding going to an exit alone. We propose that the dynamics of exit choice can be understood in terms of competition between alternative egress routes: the attraction of an exit increases with the proportion of the crowd moving toward it, becoming dominant at 100%, but decreases with the absolute number in the crowd moving toward it, relative to the exit's affordance for egress.

Entities:  

Keywords:  affordances; crowd behavior; evacuation; social influence; virtual reality

Year:  2021        PMID: 34334928      PMCID: PMC8319842          DOI: 10.1016/j.physa.2021.125746

Source DB:  PubMed          Journal:  Physica A        ISSN: 0378-4371            Impact factor:   3.263


  11 in total

1.  Bayesian t tests for accepting and rejecting the null hypothesis.

Authors:  Jeffrey N Rouder; Paul L Speckman; Dongchu Sun; Richard D Morey; Geoffrey Iverson
Journal:  Psychon Bull Rev       Date:  2009-04

2.  Dissuasive exit signage for building fire evacuation.

Authors:  Joakim Olander; Enrico Ronchi; Ruggiero Lovreglio; Daniel Nilsson
Journal:  Appl Ergon       Date:  2016-09-08       Impact factor: 3.661

3.  Route choice in pedestrians: determinants for initial choices and revising decisions.

Authors:  Weichen Liao; Armel U Kemloh Wagoum; Nikolai W F Bode
Journal:  J R Soc Interface       Date:  2017-02       Impact factor: 4.118

4.  Collective Motion in Human Crowds.

Authors:  William H Warren
Journal:  Curr Dir Psychol Sci       Date:  2018-07-11

5.  Visual guidance of walking through apertures: body-scaled information for affordances.

Authors:  W H Warren; S Whang
Journal:  J Exp Psychol Hum Percept Perform       Date:  1987-08       Impact factor: 3.332

6.  Human responses to multiple sources of directional information in virtual crowd evacuations.

Authors:  Nikolai W F Bode; Armel U Kemloh Wagoum; Edward A Codling
Journal:  J R Soc Interface       Date:  2013-11-20       Impact factor: 4.118

7.  Local interactions underlying collective motion in human crowds.

Authors:  Kevin W Rio; Gregory C Dachner; William H Warren
Journal:  Proc Biol Sci       Date:  2018-05-16       Impact factor: 5.349

8.  Social influence in a virtual tunnel fire--influence of conflicting information on evacuation behavior.

Authors:  Max Kinateder; Mathias Müller; Michael Jost; Andreas Mühlberger; Paul Pauli
Journal:  Appl Ergon       Date:  2014-06-17       Impact factor: 3.661

9.  Information use by humans during dynamic route choice in virtual crowd evacuations.

Authors:  Nikolai W F Bode; Armel U Kemloh Wagoum; Edward A Codling
Journal:  R Soc Open Sci       Date:  2015-01-21       Impact factor: 2.963

10.  Crowd behaviour during high-stress evacuations in an immersive virtual environment.

Authors:  Mehdi Moussaïd; Mubbasir Kapadia; Tyler Thrash; Robert W Sumner; Markus Gross; Dirk Helbing; Christoph Hölscher
Journal:  J R Soc Interface       Date:  2016-09       Impact factor: 4.118

View more
  1 in total

1.  Robust weighted averaging accounts for recruitment into collective motion in human crowds.

Authors:  Trenton D Wirth; William H Warren
Journal:  Front Appl Math Stat       Date:  2021-11-03
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.