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Regional logistics demand increased significantly with economic development in China since the 90's. But how to predict exactly logistics demand is still a difficult problem. There are many impact factors in the regional logistics demand, among these affect each other, mutual restraint. Changes in the course of logistics demand are a typical gray system. Gray Relational Analysis is to identify the different degree among the factors to deal with the original data and find the change rule. In this paper, Gray Relational Analysis analyzes relativity among some impact factors on the regional logistics demand in the different period. Comparative analysis found that factors at different period of time will be very different. The conclusion contributes to the logistics organization conducting further logistics demand analysis and forecasting.