Online freight platform is one kind of typical new platform economy mode in logistics industry while risks are emerging due to the separation of cargoes property, fund, place, and time in the course of the operation process. Therefore, scientifically assessing the risks associated with online freight transportation platforms is crucial for promoting reasonable regulation on these platforms. Starting from the operational process of online freight platforms, this study constructed a risk evaluation index system including 8 aspects and 30 indicators, i.e. registration, verification, truck-cargo matching, order execution, order completion and etc. The best-worst method (BWM) was adopted to determine the weights of risk sources and experts’weights through evaluating decision makers’understanding of online freight platforms. Then, comprehensive weights were obtained through combined consideration of the two results. Risk assessment was then conducted based on the fuzzy FMEA-TOPSIS model, calculating the distances from risk factors to both positive and negative ideal solutions. The risk levels were ranked according to their relative closeness, and comparison was made with traditional FMEA to verify the effectiveness of fuzzy FMEA-TOPSIS model.