In this paper, regression forecast methods, multiple linear regression (MLR), nonlinear regression (NLR) and simple linear regression (SLR) are reviewed. With these methods and the real data obtained in practice, regional freight transportation demand forecast models have been constructed. One purpose of this work is to choose the best method among MLR, NLR and SLR. The model built by SLR performs the best among the three models with the superior fitting efficiency. MLR and NLR are notfitted for this condition according to the test.