Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/118009
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Title: Impact of the caregiver-to-resident ratio on evacuation efficiency in nursing homes : a simulation-based study
Authors: Li, H 
Lo, JTY 
Issue Date: 1-Mar-2026
Source: Physica A. Statistical mechanics and its applications, 1 Mar. 2026, v. 685, 131273
Abstract: With the growing aging population, ensuring effective and safe evacuation of older people in nursing homes has become a pressing concern in emergency planning. This study presents an enhanced agent-based evacuation model that explicitly incorporates caregiver-assisted movement dynamics, intelligent pathfinding, and collision avoidance to simulate evacuation processes in nursing homes. The model is applied to evaluate the caregiver-to-resident ratio’s influence on the evacuation efficiency of residents with different distributions. The results demonstrate that increasing the caregiver-to-resident ratio does not positively affect evacuation efficiency and may even hinder it in complex building layouts. When caregivers are rationally allocated, evacuation time in scenarios involving wheelchair users can be shorter than in those without wheelchairs, due to more coordinated and assisted movements. These findings provide valuable insights for optimizing the evacuation strategies of nursing homes and emphasize that the allocation of caregivers needs to consider the locations of residents and their mobility capabilities.
Keywords: Agent-based model
Caregiver-to-resident ratio
Evacuation efficiency
Nursing home evacuation
Publisher: Elsevier BV
Journal: Physica A. Statistical mechanics and its applications 
ISSN: 0378-4371
EISSN: 1873-2119
DOI: 10.1016/j.physa.2026.131273
Rights: © 2026 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ).
The following publication Li, H., & Lo, J. T. Y. (2026). Impact of the caregiver-to-resident ratio on evacuation efficiency in nursing homes: A simulation-based study. Physica A: Statistical Mechanics and its Applications, 685, 131273 is available at https://doi.org/10.1016/j.physa.2026.131273.
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