Coal mine accidents are not only caused by a single factor risk, but also by the coupling between multifactor risks. Therefore, exploring the mechanism of multifactor risk and measuring the coupling risk is particularly important for controlling coal mine accidents. This paper explores the definition, classification, coupling process and decoupling principle of multifactor risk in underground coal mine accidents. A multifactor risk measurement model based on coupling theory is proposed to measure the magnitude of the risk coupling effect using data of 375 major accidents from 2001 to 2016. The results indicate that the risk caused by the coupling of humanenvironment-management is the greatest in the three-factor risk coupling of coal mine, and the risk coupling of human and management factors produces greatest risk in two-factor risk coupling. The risk value of coal mine accident increases with the increase of coupling factors. The decoupling idea can be used to weaken the coupling effect among the factors found in coal mining enterprises.
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