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Issue title: Artificial Intelligence and Advanced Manufacturing (AIAM 2020)
Guest editors: Shengzong Zhou
Article type: Research Article
Authors: Wang, Zhirua; b; * | Wang, Minc | He, Ruyua | Bhamra, Ran S.d | Yang, Lilib; e; *
Affiliations: [a] School of Economics and Management, University of Science and Technology Beijing, Beijing, China | [b] School of Business and Economics, Loughborough University, Loughborough, UK | [c] Department of Safety Supervision, Beijing Subway Limited, Beijing, China | [d] School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, UK | [e] Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China
Correspondence: [*] Corresponding authors: Zhiru Wang, School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China and School of Business and Economics, Loughborough University, Loughborough LE11 3TU, UK. E-mail: wangzhiru@ustb.edu.cn. (Z.W.); Lili Yang, School of Business and Economics, Loughborough University, Loughborough LE11 3TU, UK and Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen 518055, China. E-mail: L.Yang@lboro.ac.uk. (L.Y.)
Abstract: In order to better achieve active defense in the escalator risk management, this study based on the vulnerability theory, task driven theory, management error theory, proposed a Gray Relational Analysis (GRA) based fuzzy assessment of escalator accident risk approach. The risk assessment index system of subway station escalator accident was constructed based on the commonness and essence of management defects; the weight of risk index was calculated scientifically and reasonably by using Analytic Hierarchy Process (AHP); escalator accident risk was evaluated by the combination of GRA and Fuzzy approach. The results show that escalator equipment, environment, safety knowledge of riders are all in good condition in the station. However, ‘Maintenance’ of escalator in the Beijing subway station is in an extremely high risk level. The contributions of this studies are: (1) general risk elements analysis model for escalator accidents which enable to compose any risk factor possible to induce escalator accident in subway station; (2) GRA based risk assessment approach can avoid the problem when expend the range to left and right. It can also judge whether the continuous improvement effect of the object is significant by the difference degree of each risk level before and after.
Keywords: Subway escalator incident, risk assessment, gray relational analysis (GRA), gray clustering, fuzzy method
DOI: 10.3233/JIFS-189722
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4619-4628, 2021
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