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http://dx.doi.org/10.5659/JAIK.2022.38.2.129

Predicting Land Prices based on Urban Ground-underground Spatial Network - Focusing on the GTX-A Route in the Seoul Metropolitan Area -  

Piao, Gen-Song (School of Architecture, Changwon National University)
Publication Information
Journal of the Architectural Institute of Korea / v.38, no.2, 2022 , pp. 129-139 More about this Journal
Abstract
A proposed method to predict official land prices using spatial analysis techniques of urban ground-underground spatial network has the potential to quantify the impact of new subway lines on official land prices, specifically regarding the GTX-A route in the Seoul Metropolitan Area. The initial prediction model was derived using a regression equation that takes the degree of integration from the ground-underground spatial network of the Seoul Metropolitan Area as the independent variable and the official land price in 2020 as the dependent variable. The explanatory power of the initial prediction model is about 0.64 in Seoul and 0.60 in the Gyeonggi-Incheon area. Next, the prediction model applied the correction value of the official land price change rate and the regional characteristic correction value. Finally, analysis was done on the spatial distribution of the official land price change rate of the Seoul Metropolitan Area in 2025 when the GTX-A route opens. The results indicated that after the opening of the GTX-A route, there was an increase in official land prices, concentrated in Seoul, in 2025 and a dramatic land price increase surrounding the starting and ending subway stations. It was also discovered that the official land prices of the Songpa and Gangdong districts in Seoul, where the GTX-A route does not even pass through, are expected to increase substantially.
Keywords
Seoul Metropolitan Area; Official Land Prices; Ground-underground Spatial Network; Space Syntax; GTX-A;
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