Forecast method and application of an Inland Port Logistics Park

As a new field of study, Inland Port Logistics Park research work is in the initial stage in China. Holding the inadequate and imperfect history data, the forecasting of logistics quantity will be confronted with many difficulties. On the practical conditions of Inland Port Logistics Park in China, how to find out a predicting approach of high accuracy has the vital part in the research of Inland Port Logistics Park. In this paper, forecast methods of logistics quantity and its application were discussed through a specific example of an Inland Port Logistics Park. Linear regression model, Elastic method of correlates, Conic section model, Logarithm model and gray model were used, seeking to improve the accuracy of prediction and provide the reference of the logistics capacity prediction in practice.