The effects of land's proximity to river on spatial pattern of land prices in Tokyo metropolitan area using GIS: An analytical assessment

Abstract

This paper investigates the effects of land's proximity to river at a distance of 200 meters on land prices in Tokyo metropolitan Area (TMA) using Geographic Information System (GIS). Line Density Function was employed to estimate the effects of distance and Geographically Weighted Regression (GWR) was applied for assessing the effects of land's proximity to river. The result of GWR demonstrated that there have been different effects of land's proximity to river in areas near Tokyo Bay and suburbs. In the first area, the proximity to river has positive effects on land prices, whereas in the second area, the proximity to river created negative impacts on land prices. It is also worth mentioning that in the first area, the error of measurement of the employed model for estimating the land price is more than its second counterpart signifying that other important factors in Tokyo Bay play roles in land prices.

Exploratory Spatial Analysis of Housing Prices Obtained From Web Scraping Technique

“…Information on property prices is one of the key factors that determine decisions in various types of activities, in particular those based on spatial data. Maps showing land prices are created using various methods and tools, most of which depend on correlations between land prices associated with other variables such as centralities (Eshliki, Angherabi, 2011;Cellmer et al 2014;Chung et al 2018;Burian et al 2018).…”