The purpose of this study is to propose the stepwise decomposition regression analysis, quantitative comparative approach, and their mixed method to build real estate valuation models. The valuation target is the price per unit area. The factors considered in this study include distance to the nearest MRT station, amount of convenience stores in the living circle, age of the house, transaction date, geographic coordinates and width of the road. The study areas are all the twelve administrative areas of Taipei City. The results showed that (1) the distance to the nearest MRT station is the most important factor among all the factors. (2) Distance to the nearest MRT station and age of house are inversely proportional factors; amount of convenience stores in the living circle and transaction date are proportional factors. The analysis of geographic coordinates showed that the closer to the center of Taipei, the higher the real estate price. But the effect of width of road is not significant. (2) The 20% error hit rates of real estate valuation of quantitative comparative approach were 5% greater than the stepwise decomposition regression analysis. (3) The mixed methods are more accurate than the quantitative comparative approach but not significantly.