The Impact of Riparian Landscape on the Housing Price -- Evidence from the Mingshui Road in Taipei

• Main Authors: Chang, Shih Ming, 張仕明
• Other Authors: Huang, Jr Tsung
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/50306782738331962867

碩士 === 國立政治大學 === 行政管理碩士學程 === 103 === This study collects data from the MOI’s real estate transaction database website, uses all transactions data from Mingshui Road as samples, excluding special deals and abnormal data, and determines the related 18 independent variables that influence housing prices. By adopting the Hedonic Price Theory and through Multiple Regression Analysis, we discuss the correlations and volatilities across housing prices and landscape elements as well as other variables. Through the test results of Multiple Regression Analysis, for the properties themselves, the variables for the set number of bathrooms in the buildings, age of the house, the total square feet of floors, and of individual floors show significant positive impacts. The variables for the number of parking spaces and the age of the house present significant negative impacts. In terms of factors of the landscape environment and deal year other than the properties themselves, the properties’ proximity to the riverbank and the distance away from temples are significant and positive. Additionally, variables for the distance to MRT stations, parks and supermarkets are significant and negative. We also found that a nonlinear relationship existed between the age of house and the house price/ping; the 17 to 18 years age of house are with the lowest house price/ping, however the house price/ping increases again for houses over 18 years of age. Finally, we found within the scope of our research, the prices of high-floor properties are higher than those of low-floor properties.