摘要 都市的發展受到人口分布、產業活動、土地使用、交通網路等影響。在台灣地狹人稠的環境,人們共同聚集在都市中生活。如今在景氣差與地球暖化的時代背景之下,居住的品質不再只是單純考慮到優質環境,而是便利、省能、減碳的綠色都市。因此對住家而言,如果能在一定的生活圈內滿足日常生活所需,就可以減少對交通工具的依賴。而商家對區位的選擇,就是最接近交通便利與容易產生人潮的地方,而有商業產生的地方往往該土地價格與價值也相對較高。所以,本研究的目的試著藉由探討空間型構理論所運算的便捷值與土地公告現值的關聯性,看看是否在都市生活中,越便捷的道路其所對應的土地公告現值也越高。 因此,本研究所運用之研究方法以空間型構理論之動線型構分析方法來描繪軸線圖,再以Depth Map 工具運算出其便捷值數據,並且透過疊圖分析、資料分析等方法來描圖、抽樣、彙整數據…等,最後再將數據由統計軟體SPSS來進行相關分析及迴歸分析等運算。 在實證研究方面,本研究可分為兩個階段。首先,第一階段主要是探討空間型構分析之便捷值與既有商圈位置之間的關聯性。其次,第二階段將探討空間型構分析之便捷值與都市土地公告現值之關聯性,其中自變數除了便捷值外,還有容積率與道路寬度。研究結果顯示,在第一階段既有商圈分布位置與最便捷的軸線無明顯重疊情況。第二階段的迴歸分析後,結果表示在六個區域中,僅有舊市區-鐵路以北的便捷值Rn能解釋土地公告現值達67.8%,而其他分區則為容積率是對土地公告現值解釋最好的變數。
Abstract Today in the poor economy and global warming under the background of the times, the quality of living is no longer simply take into account the quality environment, but rather to facilitate the energy-saving, reducing carbon green city. If a certain circle of life to meet the needs of everyday life, we can reduce the dependence of transport in residential areas. The shops on the choice of location is the nearest convenient and easy to have a crowd of local,and commercial areas tend to have a price and the value of the land is relatively high. Therefore, this study using Space syntax analysis method to describe the axis map, then Depth Map convenient tool for computing the value of their data and analysis through the stack, data analysis and other methods to trace, sampling, data collection ... and so on, then the final data from the SPSS statistical software for correlation analysis and regression analysis, such as computing. In empirical research, this study can be divided into two phases. The first phase was to explore the space syntax analysis of both the integration value and convenient location with the Traditional retail business district of relevance. The second phase will explore the space syntax analysis of integration value and urban average public assessed land value of relevance, in which the variables in addition to integration value, there are floor area ratio and road width. Empirical results, in the first phase of traditional retail business district and the most convenient location of the axis of no significant overlap. The second phase of the regression analysis, the results indicated that the global integration value can effective predictor variable in explaining the land value variation a little more than 65% within the old urban central - north of the railway. On the other hand, floor area ratio is that the best variable to explain at the different regional distribution land value.