The Impact of Potential Crowd Behaviours on Emergency Evacuation: An Evolutionary Game-Theoretic Approach
- Submitting institution
-
The University of Kent
- Unit of assessment
- 12 - Engineering
- Output identifier
- 17160
- Type
- D - Journal article
- DOI
-
10.18564/jasss.3837
- Title of journal
- Journal of Artificial Societies and Social Simulation
- Article number
- 3
- First page
- -
- Volume
- 22
- Issue
- 1
- ISSN
- 1460-7425
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2019
- URL
-
https://kar.kent.ac.uk/70670/
- Supplementary information
-
-
- Request cross-referral to
- 11 - Computer Science and Informatics
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper combines game theory with physics-based models for the evacuation of a space by a crowd. This is significant because previous work was either entirely based on physical models of particle flow, or used simple games that did not capture the complexity of the decision-making by the individuals in the crowd during evacuation. This work was used in a three-day knowledge transfer workshop in January 2021 with academia and rail operators to design COVID-safe ways to enter and exit train carriages.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -