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

지상·지하 공간 네트워크 기반 공시지가 예측에 관한 연구 - 수도권 광역급행철도 A노선을 중심으로 -

  • Piao, Gen-Song (School of Architecture, Changwon National University)
  • 박근송 (창원대학교 건축학전공)
  • Received : 2021.12.13
  • Accepted : 2022.02.15
  • Published : 2022.02.28

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

Acknowledgement

이 논문은 2021-2022년도 창원대학교 자율연구과제 연구비 지원으로 수행된 연구결과임.

References

  1. Alexander, C. (1965). A City is not a Tree, Architectural Forum, 122.
  2. Cho, J., & Moon, T. (2016). Analyzing the changes of spatial structure and officially assessed land price by using space syntax, Journal of the Korean Association of Geographic Information Studies, 19(1), 43-52. https://doi.org/10.11108/KAGIS.2016.19.1.043
  3. Choi, J., & Baek, S. (2002). An analysis of the relationship between spatial layout and wayfinding efficiency in the context of space syntax, Journal of the Architectural Institute of Korea, Planning and Design, 18(7), 3-10.
  4. Crucitti, P., Latora, V., & Porta, S. (2006). Centrality in networks of urban streets, Chaos, 16, 015113. https://doi.org/10.1063/1.2150162
  5. Hillier, B., & J. Hanson (1984). The Social Logic of Space, Cambridge University Press.
  6. Jiang, B., & Claramunt, C. (2002). Integration of space syntax into GIS: new perspectives for urban morphology. Transactions in GIS. 6(3), 295-309. https://doi.org/10.1111/1467-9671.00112
  7. Kang, C. (2014). The effects of land use accessibility and centrality on land price in Seoul, Seoul Studies, 15(3), 19-40. https://doi.org/10.23129/SEOULS.15.3.201409.19
  8. Kim, H., & Jun, C. (2012). Land value analysis using space syntax and GWR. Journal of the Korean Association of Geographic Information Studies, 15(2), 35-45. https://doi.org/10.11108/KAGIS.2012.15.2.035
  9. Kim, J. (2014). A study on the sustainability of revitalised streets within urban neighbourhood, Journal of the Architectural Institute of Korea, Planning and Design, 37(1), 30(11), 73-80. https://doi.org/10.5659/JAIK_PD.2014.30.11.73
  10. Kruger, M. J. T. (1979). An approach to built form connectivity at an urban scale: system description and its representation, Environment and Planning B, 6.
  11. Lim, H., Kim, Y., & Ban, Y. (2002). A study on the relationship between spatial configuration and land prices, Journal of the Architectural Institute of Korea, Planning and Design 18(7), 133-140.
  12. NSDIP, (n.d.) Official Land Prices. National Spatial Data Infrastructure Poral, October 31, 2020 from http://openapi.nsdi.go.kr/nsdi/eios/ServiceDetail.do
  13. Piao, G., & Choi, J. (2018). Integrated ground-underground spatial network for urban spatial analysis, Journal of the Architectural Institute of Korea, Planning and Design, 34(4), 69-76. https://doi.org/10.5659/JAIK_PD.2018.34.4.69
  14. Piao, G., Lee, T., & Kim, Y. (2021). A study on the changes of urban spatial networks in Seoul metropolitan region caused by the development, Journal of the Architectural Institute of Korea, Planning and Design, 37(1), 145-156.
  15. KRIHS (2019). A Study of Travel Behavior and Transport Strategies after Construction of GTX in Seoul Metropolitan Area, 194.
  16. The Korea Transport Institute (2019). Significant Improvement Effect of Transportation Service in Metropolitan Area by GTX, 61.