Oriented to the logistics demand forecasting, this paper presents an elastic coefficient and input-output model for logistics demand forecasting. Firstly, the logistics demand drive model own to the national economy development is constructed by the elastic coefficient of input-output model introduced. Then, the logistics demand elasticity coefficient is optimally predicted based on the compressed particle swarm theory, as a result, the optimal prediction value of logistics demand in the future is obtained. Finally, the correctness and relia...
