Abstract: This study collected 243 metro safety incidents in 48 cities around the world. The statistical results showed that the number of metro safety accidents did not decrease with the development of society, and there was a positive correlation between the number of accidents and the number of people injured in the accidents. Interrupted train operation accidents were the main type of metro safety accidents, followed by fire accidents, train derailment, impact accidents, and terrorist attacks. As a major component of smart city development, metro safety management was an important part of the healthy development of large cities. The expansion of big data and the development of the IoT(Internet of Things)technology played an important role in the feasibility of smart metro safety management. In this study, the prospect of big data applications to smart metro safety management was described. A new development direction of smart metro safety management was discussed, and a system structure model of smart metro safety management was proposed. In the context of big data, this study provides a reference for researchers and industry to the research on and development of smart metro safety management in the future.
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2019, Vol. 1 
