Citation

Huo F, Liu C, Ma Y, Li Y. China Saf. Sci. J. 2022; 32(1): 142-148.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.01.019

PMID

unavailable

Abstract

In order to study influence of active avoidance behavior on evacuation in elderly care places, a cellular automata model that considered behavior of active avoidance of vulnerable persons was established. The model discussed influence of avoiding front walking area, oblique front walking area, front and oblique front walking area of vulnerable persons on their evacuation. Then, impacts of these people's proportion, pedestrian density, and their location distribution on overall evacuation results under different avoidance methods were analyzed. The results show that actively avoiding vulnerable persons can reduce evacuation time and increase its smoothness. Growth in their proportion and that in pedestrian density will increase evacuation time, and there is an optimal avoidance method that can result in the best evacuation efficiency. And the efficiency can be significant I v improved by distributing vulnerable persons near exits. © 2022, Editorial Department of China Safety Science Journal. All rights reserved.

Language: zh