Resilience Assessment of Safety System at Subway Construction Sites Applying Analytic Network Process and Extension Cloud Models

Qingjun  Guo; Shohel Amin; Qianwen  Hao; Olivier Haas

doi:10.1016/j.ress.2020.106956

Resilience Assessment of Safety System at Subway Construction Sites Applying Analytic Network Process and Extension Cloud Models

Qingjun Guo, Shohel Amin, Qianwen Hao, Olivier Haas

School of Energy, Construction and Environment

Xi’an Technological University

Research output: Contribution to journal › Article › peer-review

85 Citations (Scopus)

477 Downloads (Pure)

Abstract

This paper applies resilience theory in safety management to three subway construction sites: the Shuangzhai, the Sports Centre and the Sanyizhuang stations on the Xi'an Metro Line 14. It analyses the resilience connotation and evaluates the system resilience using the resilience index. The Delphi method determined the resilience indices. The ANP extension cloud synthesis was constructed combining the cloud and matter-element extension theories to address the randomness and ambiguity of the resilience assessment process for subway construction sites. This study reveals that the resilience level was consistent with actual engineering project assessment at all stations. The resilience assessment of the Shuangzhai Station project ranks first followed by that of Sanyizhuang and then the Sports Centre station. The findings of this study argue for strengthening the resilience management, taking measures to optimise and improve the security system, enhancing the defence ability and anti-risk mechanism at the construction sites of the sports centre and the Sanyizhuang stations.

Original language	English
Article number	106956
Journal	Reliability Engineering and System Safety
Volume	201
Early online date	15 May 2020
DOIs	https://doi.org/10.1016/j.ress.2020.106956
Publication status	Published - Sept 2020

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Reliability Engineering and System Safety. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Reliability Engineering and System Safety, 201, (2020)
DOI: 10.1016/j.ress.2020.106956

© 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

ANP
Extension cloud model
Subway construction
resilience
safety system

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality
Industrial and Manufacturing Engineering

Access to Document

10.1016/j.ress.2020.106956

Post-PrintAccepted author manuscript, 686 KBLicence: CC BY-NC-ND

Cite this

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title = "Resilience Assessment of Safety System at Subway Construction Sites Applying Analytic Network Process and Extension Cloud Models",

abstract = "This paper applies resilience theory in safety management to three subway construction sites: the Shuangzhai, the Sports Centre and the Sanyizhuang stations on the Xi'an Metro Line 14. It analyses the resilience connotation and evaluates the system resilience using the resilience index. The Delphi method determined the resilience indices. The ANP extension cloud synthesis was constructed combining the cloud and matter-element extension theories to address the randomness and ambiguity of the resilience assessment process for subway construction sites. This study reveals that the resilience level was consistent with actual engineering project assessment at all stations. The resilience assessment of the Shuangzhai Station project ranks first followed by that of Sanyizhuang and then the Sports Centre station. The findings of this study argue for strengthening the resilience management, taking measures to optimise and improve the security system, enhancing the defence ability and anti-risk mechanism at the construction sites of the sports centre and the Sanyizhuang stations.",

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note = "NOTICE: this is the author{\textquoteright}s version of a work that was accepted for publication in Reliability Engineering and System Safety. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Reliability Engineering and System Safety, 201, (2020) DOI: 10.1016/j.ress.2020.106956 {\textcopyright} 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ ",

year = "2020",

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doi = "10.1016/j.ress.2020.106956",

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N1 - NOTICE: this is the author’s version of a work that was accepted for publication in Reliability Engineering and System Safety. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Reliability Engineering and System Safety, 201, (2020) DOI: 10.1016/j.ress.2020.106956 © 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

PY - 2020/9

Y1 - 2020/9

N2 - This paper applies resilience theory in safety management to three subway construction sites: the Shuangzhai, the Sports Centre and the Sanyizhuang stations on the Xi'an Metro Line 14. It analyses the resilience connotation and evaluates the system resilience using the resilience index. The Delphi method determined the resilience indices. The ANP extension cloud synthesis was constructed combining the cloud and matter-element extension theories to address the randomness and ambiguity of the resilience assessment process for subway construction sites. This study reveals that the resilience level was consistent with actual engineering project assessment at all stations. The resilience assessment of the Shuangzhai Station project ranks first followed by that of Sanyizhuang and then the Sports Centre station. The findings of this study argue for strengthening the resilience management, taking measures to optimise and improve the security system, enhancing the defence ability and anti-risk mechanism at the construction sites of the sports centre and the Sanyizhuang stations.

AB - This paper applies resilience theory in safety management to three subway construction sites: the Shuangzhai, the Sports Centre and the Sanyizhuang stations on the Xi'an Metro Line 14. It analyses the resilience connotation and evaluates the system resilience using the resilience index. The Delphi method determined the resilience indices. The ANP extension cloud synthesis was constructed combining the cloud and matter-element extension theories to address the randomness and ambiguity of the resilience assessment process for subway construction sites. This study reveals that the resilience level was consistent with actual engineering project assessment at all stations. The resilience assessment of the Shuangzhai Station project ranks first followed by that of Sanyizhuang and then the Sports Centre station. The findings of this study argue for strengthening the resilience management, taking measures to optimise and improve the security system, enhancing the defence ability and anti-risk mechanism at the construction sites of the sports centre and the Sanyizhuang stations.

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Resilience Assessment of Safety System at Subway Construction Sites Applying Analytic Network Process and Extension Cloud Models

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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Olivier haas

Cite this

Resilience Assessment of Safety System at Subway Construction Sites Applying Analytic Network Process and Extension Cloud Models

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

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Olivier haas

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