| Issue |
EPJ Web Conf.
Volume 334, 2025
Traffic and Granular Flow 2024 (TGF’24)
|
|
|---|---|---|
| Article Number | 04004 | |
| Number of page(s) | 8 | |
| Section | Pedestrian Dynamics | |
| DOI | https://doi.org/10.1051/epjconf/202533404004 | |
| Published online | 12 September 2025 | |
https://doi.org/10.1051/epjconf/202533404004
Microscopic simulation of the elderly evacuation in nursing homes
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 12 September 2025
Abstract
With the aging society, the evacuation efficiency of older people during emergencies gain increasing attention from the scholars. This study investigates the influence of the residents’ distribution strategy and the desired speed of the older people on evacuation efficiency in the nursing home. Two resident distribution strategies (zoned and random) and four desired speeds (0.6-1.2 m/s at the interval of 0.2 m/s) are considered. Using an enhanced agent-based model capable of intelligently selecting evacuation routes and avoiding collisions, evacuation simulations are conducted in a real-world complex nursing home setting. The trajectories and the evacuation time are obtained and the results demonstrate that increasing desired speed significantly improves evacuation efficiency. While different from pre-conceived results, the zoned distribution strategy does not positively affect evacuation efficiency.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.