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First Online: 28 April 2020

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: On behalf of all authors, the corresponding author states that there is no conflict of interest. Parts of this paper are based on an earlier conference paper by Yap and Cats (CitationRef removed). In this conference paper, we propose a method to predict disruption frequencies in metro networks. In the current paper, we have improved our models to predict disruption frequencies. Besides, we extended our modelling framework by developing new methods to predict passenger delay impacts of disruptions, and rank and cluster stations based on both disruption frequency and impact characteristics.