An Approach for Understanding and Promoting Coal Mine Safety by Exploring Coal Mine Risk Network
Joint Authors
Deng, Yongliang
Song, Liangliang
Zhou, Zhipeng
Liu, Ping
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-12
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Capturing the interrelations among risks is essential to thoroughly understand and promote coal mining safety.
From this standpoint, 105 risks and 135 interrelations among risks had been identified from 126 typical accidents, which were also the foundation of constructing coal mine risk network (CMRN).
Based on the complex network theory and Pajek, six parameters (i.e., network diameter, network density, average path length, degree, betweenness, and clustering coefficient) were employed to reveal the topological properties of CMRN.
As indicated by the results, CMRN possesses scale-free network property because its cumulative degree distribution obeys power-law distribution.
This means that CMRN is robust to random hazard and vulnerable to deliberate attack.
CMRN is also a small-world network due to its relatively small average path length as well as high clustering coefficient, implying that accident propagation in CMRN is faster than regular network.
Furthermore, the effect of risk control is explored.
According to the result, it shows that roof collapse, fire, and gas concentration exceeding limit refer to three most valuable targets for risk control among all the risks.
This study will help offer recommendations and proposals for making beforehand strategies that can restrain original risks and reduce accidents.
American Psychological Association (APA)
Deng, Yongliang& Song, Liangliang& Zhou, Zhipeng& Liu, Ping. 2017. An Approach for Understanding and Promoting Coal Mine Safety by Exploring Coal Mine Risk Network. Complexity،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1143428
Modern Language Association (MLA)
Deng, Yongliang…[et al.]. An Approach for Understanding and Promoting Coal Mine Safety by Exploring Coal Mine Risk Network. Complexity No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1143428
American Medical Association (AMA)
Deng, Yongliang& Song, Liangliang& Zhou, Zhipeng& Liu, Ping. An Approach for Understanding and Promoting Coal Mine Safety by Exploring Coal Mine Risk Network. Complexity. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1143428
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143428