Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident

Wang Qi-quan; Zhu Qian-kun

doi:doi:10.11648/j.aas.20180302.11

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Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident

Wang Qi-quan, Zhu Qian-kun

Published in Advances in Applied Sciences (Volume 3, Issue 2)

Received: 21 March 2018 Accepted: 2 April 2018 Published: 5 May 2018

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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.

Published in	Advances in Applied Sciences (Volume 3, Issue 2)
DOI	10.11648/j.aas.20180302.11
Page(s)	9-18
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Crowded Stampede, Vulnerability Analysis, Interpretive Structure Model, Risk Early Warning

References

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[3]	Wagner U, Fälker A, Wenzel V. [Fatal incidents by crowd crush during mass events: (Un)preventable phenomenon] [J]. Der Anaesthesist, 2013, 621.
[4]	Wang qiquan. safety assessment [M]. Beijing: Chemical Industry Press, 2015:78-81.
[5]	Zhang qingsong. The risk theory of crowd stampede and its application in sports competition [D]. Nankai University, 2007.
[6]	Wang qiquan. Study on accident risk of subway stampede based on weighted relation degree algorithm [J]. China Safety Science Journal, 2013, 05:94-100.
[7]	Liu yan, Wangtong, Dinghui, Wuzhongzi. DEA Model Study on Accident Risk Assessment of subway station crowded stampede [J]. China Safety Science Journal, 2013, 10:100-104.
[8]	Wang qiquan, Wang weixian. Planning and counter measures of emergency evacuation route in subway fire [J]. Journal of Safety Science and Technology, 2017, 03:131-136.
[9]	Wang shuliang. Vulnerability Analysis of Infrastructure System Based on Complex Network Theory [D]. HUST, 2013.
[10]	Wang qiquan, Wu jiaxin, Designing a linkage system for response to subway stampede accidents based on STAMP model [J]. China Safety Science Journal, 2016, 12:158-162.
[11]	Wang qiquan. The risk theory of crowd stampede [M]. Beijing: China meteorological Press, 2017:127-143.
[12]	Wang qiquan, Wang weixian. Planning and counter measures of emergency evacuation route in subway fire [J]. Journal of Safety Science and Technology, 2017, 03:131-136.

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APA Style

Wang Qi-quan, Zhu Qian-kun. (2018). Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident. Advances in Applied Sciences, 3(2), 9-18. https://doi.org/10.11648/j.aas.20180302.11

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ACS Style

Wang Qi-quan; Zhu Qian-kun. Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident. Adv. Appl. Sci. 2018, 3(2), 9-18. doi: 10.11648/j.aas.20180302.11

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AMA Style

Wang Qi-quan, Zhu Qian-kun. Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident. Adv Appl Sci. 2018;3(2):9-18. doi: 10.11648/j.aas.20180302.11

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@article{10.11648/j.aas.20180302.11,
  author = {Wang Qi-quan and Zhu Qian-kun},
  title = {Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident},
  journal = {Advances in Applied Sciences},
  volume = {3},
  number = {2},
  pages = {9-18},
  doi = {10.11648/j.aas.20180302.11},
  url = {https://doi.org/10.11648/j.aas.20180302.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20180302.11},
  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.},
 year = {2018}
}

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TY  - JOUR
T1  - Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident
AU  - Wang Qi-quan
AU  - Zhu Qian-kun
Y1  - 2018/05/05
PY  - 2018
N1  - https://doi.org/10.11648/j.aas.20180302.11
DO  - 10.11648/j.aas.20180302.11
T2  - Advances in Applied Sciences
JF  - Advances in Applied Sciences
JO  - Advances in Applied Sciences
SP  - 9
EP  - 18
PB  - Science Publishing Group
SN  - 2575-1514
UR  - https://doi.org/10.11648/j.aas.20180302.11
AB  - 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.
VL  - 3
IS  - 2
ER  -

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Author Information

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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APA Style

Wang Qi-quan, Zhu Qian-kun. (2018). Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident. Advances in Applied Sciences, 3(2), 9-18. https://doi.org/10.11648/j.aas.20180302.11

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ACS Style

Wang Qi-quan; Zhu Qian-kun. Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident. Adv. Appl. Sci. 2018, 3(2), 9-18. doi: 10.11648/j.aas.20180302.11

Copy | Download

AMA Style

Wang Qi-quan, Zhu Qian-kun. Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident. Adv Appl Sci. 2018;3(2):9-18. doi: 10.11648/j.aas.20180302.11

Copy | Download

@article{10.11648/j.aas.20180302.11,
  author = {Wang Qi-quan and Zhu Qian-kun},
  title = {Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident},
  journal = {Advances in Applied Sciences},
  volume = {3},
  number = {2},
  pages = {9-18},
  doi = {10.11648/j.aas.20180302.11},
  url = {https://doi.org/10.11648/j.aas.20180302.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20180302.11},
  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.},
 year = {2018}
}

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TY  - JOUR
T1  - Risk Early Warning Analysis on Vulnerability of Metro Stampede Accident
AU  - Wang Qi-quan
AU  - Zhu Qian-kun
Y1  - 2018/05/05
PY  - 2018
N1  - https://doi.org/10.11648/j.aas.20180302.11
DO  - 10.11648/j.aas.20180302.11
T2  - Advances in Applied Sciences
JF  - Advances in Applied Sciences
JO  - Advances in Applied Sciences
SP  - 9
EP  - 18
PB  - Science Publishing Group
SN  - 2575-1514
UR  - https://doi.org/10.11648/j.aas.20180302.11
AB  - 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.
VL  - 3
IS  - 2
ER  -

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