Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

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Research on Delayed Evacuation Strategies of University Teaching Buildings Under Epidemic

Authors
Yun Lu1, Daoliang Zhao1, *, Hu Zhou1, Lei Shi1, Cong Geng1, Huimin Cui1
1School of Urban Construction and Safety Engineering, Shanghai Institute of Technology, Shanghai, 201418, China
*Corresponding author. Email: zhaodl@sit.edu.cn
Corresponding Author
Daoliang Zhao
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_3How to use a DOI?
Keywords
Universities; Delayed evacuation; MassMotion; Epidemic
Abstract

In order to study the impact of delayed evacuation strategies on the evacuation of university teaching buildings under the epidemic situation, this paper selects a university teaching building F area to carry out personnel evacuation experiments and uses software to build an evacuation simulation simulation scene. This paper is based on the evacuation experiment to study the effect of delayed evacuation strategy on the instantaneous density of evacuation personnel in university teaching buildings; compare the evacuation process and evacuation density simulated by MassMotion software with the experiment to verify the rationality of the model; use the software to explore the effect of different delay time intervals on the instantaneous density and the influence of evacuation time, explore the best response time interval to keep the evacuation density of university teaching buildings below 1 people/m2 under the epidemic situation. Studies have shown that when the interval is 85s, the instantaneous evacuation density of personnel achieves a higher rate of 85.05%, and the total evacuation time is less than 541 s, which provides a reference for the evacuation of college personnel under the epidemic.

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 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-064-0_3
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_3How 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  - Yun Lu
AU  - Daoliang Zhao
AU  - Hu Zhou
AU  - Lei Shi
AU  - Cong Geng
AU  - Huimin Cui
PY  - 2022
DA  - 2022/12/27
TI  - Research on Delayed Evacuation Strategies of University Teaching Buildings Under Epidemic
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 13
EP  - 22
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_3
DO  - 10.2991/978-94-6463-064-0_3
ID  - Lu2022
ER  -