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Video-based analysis of school students' emergency evacuation behavior in earthquakes

journal contribution
posted on 2024-11-02, 00:38 authored by Ziyuan Gu, Zhiyuan Liu, Nirajan ShiwakotiNirajan Shiwakoti, Min Yang
One of the critical challenges in the development of evacuation models for pedestrian crowds is the lack of complementary data under emergency conditions. Specifically, the study of evacuation behavior of students in schools has been limited in the literature. This paper analyzes school students' emergency evacuation behavior in earthquakes using data extracted from videos of real emergency evacuation. A comparison between students' behavior under normal conditions and under emergency circumstances is made to identify the differences. These differences are quantitatively analyzed through regression modeling. Overall, students' behavior under normal conditions is stable as expected. The cumulative curve of the number of departures can be modeled as a linear function. Differently, students' emergency evacuation behavior is much more chaotic. Four stages - reaction, acceleration, linearity and saturation - are identified, which form a convex cumulative curve rather than a linear one. It is also found that, under emergency circumstances, students' reaction time increases substantially, and the mean value as well as the variance of the number of departures per second becomes much larger. However, the reaction time is comparatively lower than those observed from previous studies on adults. Moreover, we could not observe the highly competitive behavior or 'faster is slower effect' as predicted from previous mathematical models. These results provide useful practical knowledge towards the development of mathematical models intended to simulate the emergency evacuation behavior of students in schools.

History

Journal

International Journal of Disaster Risk Reduction

Volume

18

Start page

1

End page

11

Total pages

11

Publisher

Elsevier BV

Place published

Netherlands

Language

English

Copyright

© 2016 Elsevier Ltd. All rights reserved.

Former Identifier

2006062634

Esploro creation date

2020-06-22

Fedora creation date

2016-06-16

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