| Title |
Predicting Land Prices based on Urban Ground-underground Spatial Network |
| DOI |
https://doi.org/10.5659/JAIK.2022.38.2.129 |
| Keywords |
Seoul Metropolitan Area; Official Land Prices; Ground-underground Spatial Network; Space Syntax; GTX-A |
| 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. |