This paper describes the factors influencing Shanghai's logistics demand, emphasizes on the need in Shanghai's water-way and land-way traffic, uses the software “Matlab R2010a” to apply Time Series BP(Back Propagation) Neural Network and Causal Analysis BP Neural Network in forecasting Shanghai's logistics demand and evaluate its predictive validation. The objective is to provide knowledge and experience for the future research in logistics industry through theoretical and quantitative analysis.