Risk Prediction of City Distribution Engineering Based on BP

City distribution engineering has the large number of random factors when it is operating, such as demand uncertainty, asymmetric information, and supplier uncertainty. These factors led to city distribution management risk and affect the daily operation. According to the characteristics of the city logistics, this paper proposed a city distribution risk assessment system, and established risk prediction model with BP neural network and simulation by MATLAB. The historical data of the risk are classified collation in this paper. And it proved that the risk prediction model is applicability and feasibility according to this date.