Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

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Evacuation model considering pedestrian panic in smoke scenario

Authors
Yufei Li1, 2, Chao Li1, 2, Feizhou Huo1, 2, *
1School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, China
2Research Center for Emergency Management, Wuhan University of Technology, Wuhan, China
*Corresponding author. Email: huofz@whut.edu.cn
Corresponding Author
Feizhou Huo
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_80How to use a DOI?
Keywords
Safety management; Pedestrian evacuation; FDS; Infectious disease model; Cellular automata
Abstract

In order to study the effect of pedestrian panic on evacuation in fire scenarios, a fire evacuation model based on FDS and cellular automata was established. The model corresponds the FDS grid to the cell of cellular automata, and loads the flue gas data obtained by FDS into the cell in real time. At the same time, combined with the infection model, it simulates the panic infection in the evacuation crowd. When the pedestrian panic value is greater than the panic threshold, it will become the infected person to do irregular blind movement. The results show that panic has an important impact on pedestrian evacuation behavior and reduces the evacuation efficiency to a certain extent. Our research results can play a reference and guidance for future building disaster prevention design and public safety research.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-102-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_80How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yufei Li
AU  - Chao Li
AU  - Feizhou Huo
PY  - 2022
DA  - 2022/12/29
TI  - Evacuation model considering pedestrian panic in smoke scenario
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 785
EP  - 794
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_80
DO  - 10.2991/978-94-6463-102-9_80
ID  - Li2022
ER  -