The invention relates to a hazardous chemicals transportation risk prediction method based on big data. The method comprises the following steps: aiming at the low-probability high-risk characteristics of a hazardous chemicals transportation risk event, based on risk classification and factor correlation analysis, adding weight for each risk factor, while taking into account the spatial characteristic, transportation accident rate, exposed population, and expected loss measurement factor, integrating multiple single and quantitative prediction models through an integrated approach, to construct a hazardous chemicals transportation risk multi-dimensional factor combination forecasting model, so as to effectively improve the prediction accuracy.