本研究以八十九年到一百零一年時期不動產交易價格為研究樣本,使用特徵價格法,探討捷運系統對不動產價格影響程度之分析,進而瞭解在營運前及其不同階段時期,受捷運影響的具體程度。研究結果發現,呈現顯著正相關的分別為房屋面積、土地面積、總樓層數、臨街關係、路寬、交易年份、使用分區,而呈現顯著負相關的為屋齡、車站距離。本研究將捷運建設歷程分為行政院核定前後時期及動工後時期三個階段,行政院核定後較核定前及捷運動工後的車站距離更有顯著的負相關,此外,在整體營運前階段,每戶交易價格如以總價計算,有下列特性,交易年份每增加一年,其不動產價格將增加約34萬元。車站距離每增加一公尺,價格將減少1770元。道路寬度間每增加一公尺,價格將增加約8萬元。臨街地比裡地價格增加約111萬元。屋齡每增一年,價格減少約10萬元。商業區比住宅區增加約51萬元。而捷運站影響範圍內價格將比範圍外增加約42.3萬元。除此之外,行政院核定後階段的交易時間、車站距離及影響範圍比核定前及動工後對於價格的影響作用更為顯著。
In this study, real estate transaction price in 2000 to 2012 years is for the study samples. The research method used hedonic price method and the linear model can explain the best in the model selection. The results show significant positive correlation was housing area, land area, the total number of floors, road width, trading year, the use of partitions. The results show significant negatively correlation was year of construction, and station distance. On the other hand, the more noteworthy is that station distance showed a significant negative correlation during the different development. Furthermore previous stage in the overall operation, prices increase by about 340,000 dollars each additional year of trading. Prices increase by about 1770 dollars each additional meter of station distance. Prices increase by about 1,100,000 dollars each additional meter of road width. In addition at different stages, trading year, station distance, and Sphere of influence for the price of influence is higher approved at a later stage.