Information use by humans during dynamic route choice in virtual crowd evacuations. Issue 1 (January 2015)
- Record Type:
- Journal Article
- Title:
- Information use by humans during dynamic route choice in virtual crowd evacuations. Issue 1 (January 2015)
- Main Title:
- Information use by humans during dynamic route choice in virtual crowd evacuations
- Authors:
- Bode, Nikolai W. F.
Kemloh Wagoum, Armel U.
Codling, Edward A. - Abstract:
- Abstract : We conducted a computer-based experiment with over 450 human participants and used a Bayesian model selection approach to explore dynamic exit route choice mechanisms of individuals in simulated crowd evacuations. In contrast to previous work, we explicitly explore the use of time-dependent and time-independent information in decision-making. Our findings suggest that participants tended to base their exit choices on time-dependent information, such as differences in queue lengths and queue speeds at exits rather than on time-independent information, such as differences in exit widths or exit route length. We found weak support for similar decision-making mechanisms under a stress-inducing experimental treatment. However, under this treatment participants were less able or willing to adjust their original exit choice in the course of the evacuation. Our experiment is not a direct test of behaviour in real evacuations, but it does highlight the role different types of information and stress play in real human decision-making in a virtual environment. Our findings may be useful in identifying topics for future study on real human crowd movements or for developing more realistic agent-based simulations.
- Is Part Of:
- Royal Society open science. Volume 2:Issue 1(2015)
- Journal:
- Royal Society open science
- Issue:
- Volume 2:Issue 1(2015)
- Issue Display:
- Volume 2, Issue 1 (2015)
- Year:
- 2015
- Volume:
- 2
- Issue:
- 1
- Issue Sort Value:
- 2015-0002-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2015-01
- Subjects:
- decision-making -- crowd evacuations -- virtual environment -- route choice -- Bayesian model selection
Science -- Periodicals
500 - Journal URLs:
- https://royalsocietypublishing.org/journal/rsos ↗
- DOI:
- 10.1098/rsos.140410 ↗
- Languages:
- English
- ISSNs:
- 2054-5703
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 25041.xml