Gray relational analysis based assessment of escalator accident risk in subway stations

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.

Reflection on methodology of the correlation between electromagnetic interference and safety in high-speed railways

“…For risk evaluation, a crucial step lies in constructing an evaluation matrix aimed at obtaining the weights of various risk factors, enabling a comprehensive evaluation of complex and ambiguous information. Specific methodologies include AHP (Santarremigia, Molero, Poveda-Reyes, & Aguilar-Herrando, 2018), FAHP (Peng et al, 2021), gray relational analysis (GRA) (Wang, Wang, He, Bhamra, & Yang, 2021), artificial neural networks (ANN) (Na'amnh, Salim, Husti, & Dar oczi, 2021), technique for order preference by similarity to an ideal solution (TOPSIS) (Seker, 2022), among others, each method presenting its own strengths and weaknesses. As outlined in Section 2.3, within the railway signal safety domain, widely applied methodologies like AHP (especially hierarchical analysis based on expert scoring) and its derivatives exhibit significant subjectivity in factor weighting, potentially leading to biases in computational outcomes.…”