東京南西部における常緑樹と落葉樹の経済効果の評価

概要

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The purpose of this study is to evaluate economic effect of evergreen forest and deciduous forest using different seasonal ASTER images which are one of the satellite remote sensing data for landscape planning. For this purpose,we use hedonic approach. We extract forest using ASTER image in summer, and vegetation in winter using ASTER image in winter. And we classify forest into evergreen forest and deciduous forest. Evergreen forest is forest in summer and vegetation in winter. Deciduous forest is forest in summer and non-vegetation in winter. We apply the south western area of Tokyo, which are Shinagawa Ward, Ohta Ward, Setagaya Ward, Meguro Ward, Shibuya Ward, Suginami Ward and Nakano Ward. The results were as follows. 1) In linear, log-linear, linear-log and double-log, these models were the most fit to land price when the economic evaluation of forest were within 250m from land price point. 2) In linear, log-linear, linear-log and double-log, evergreen forest within 250m from land price point was positive to land price and statistically significant at the 1% level. In contrast, deciduous forest was not statistically significant to land price.
社団法人　日本造園学会の論文