| 摘要(英) |
This study selected the actual estate transaction data from Taiwan Economic Journal (TEJ) from January 2017 to November 2021. Seven counties were selected that offered a complete data set of landslide and housing information. These counties include municipal cities of Taipei City, New Taipei City, and Taoyuan City, and non-municipal cities including Keelung City, Hsinchu County, Nantou County, and Yilan County. In addition, the distance between each transaction and the site of the landslides was calculated by Quantum GIS, and other housing and neighborhood characteristic variables that may affect the housing price were also considered.
This study uses a semi-logarithmic characteristic pricing model, including a straight-line distance model and a fractional distance model for the empirical studies. The empirical results of the linear distance model showed that the distance between houses and landslides had a positive effect on housing prices in most of the counties when all samples were used. The study shows that the greater the distance is between the house and the landslide, the higher the price of the house. This data is apparent in all seven counties used. The empirical results of the spacing models show that the house prices within one kilometer from the landslides are lower than those in other areas in all counties researched except for Yilan County. The empirical results of the house-neighborhood characteristic variables in both models are consistent with the expectation that houses are exponentially cheaper as the distance to the landslide decreases. |
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