Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident
Advances in Applied Sciences
Volume 3, Issue 2, April 2018, Pages: 9-18
Received: Mar. 21, 2018; Accepted: Apr. 2, 2018; Published: May 5, 2018
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Authors
Wang Qi-quan, Department of Safety Engineering, China University of Labor Relations, Beijing, China
Zhu Qian-kun, Department of Safety Engineering, China University of Labor Relations, Beijing, China
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Abstract
Based on the statistical analysis of the typical crowded stampede in the past ten years and based on the theory of vulnerability, determine the vulnerable parts of the crowded stampede in the subway station crowd, combined with interpretative structural model, systematically analyze the fragile parts of the crowded stampede at the subway station and find out the relationship between the vulnerable points and establish a multi-level hierarchical subway stampede Structural model. The generality of the characteristics of the Beijing subway crowd was calculated by setting up observation points for escalators and stairways at five high-speed subway stations, use Matlab and Spss to calculate the regression equation, and determine the related relationship between traffic flow, speed and crowd flow and crowded stampede, construct the metro crowding stampede accident risk matrix and put forward different levels of risk warning control measures.
Keywords
Crowded Stampede, Vulnerability Analysis, Interpretive Structure Model, Risk Early Warning
To cite this article
Wang Qi-quan, Zhu Qian-kun, Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident, Advances in Applied Sciences. Vol. 3, No. 2, 2018, pp. 9-18. doi: 10.11648/j.aas.20180302.11
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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