DOI QR코드

DOI QR Code

Analysis of Locational Factors of Buy-to-Rent Public Housing with Public Contributions - A Case of SIA Youth Housing in Seoul -

공공기여를 통한 공공매입임대주택 공급의 입지요인 분석 - 서울시 역세권 청년주택을 사례로 -

  • Yi, Jung min (Graduate School of Environmental Studies, Seoul National University) ;
  • Yang, Hee Jin (School of Spatial Environment System Engineering, Handong Global University)
  • 이정민 (서울대학교 환경대학원) ;
  • 양희진 (한동대학교 공간환경시스템공학부)
  • Received : 2022.09.25
  • Accepted : 2023.06.12
  • Published : 2023.07.28

Abstract

This study examines the increasing provision of buy-to-rent public housing through public contributions, which utilizes private developers' profits to alleviate the government's financial burden. By focusing on Station-Influenced-Area(SIA) youth housing in Seoul, the study empirically analyzes locational factors of buy-to-rent public housing using a multi-level logistic regression model. It considers a hierarchical data structure that includes both parcel-based factors and socioeconomic characteristics of each station. The results demonstrate that development opportunities, including land value, changes in land value, and development potential index, significantly influence the supply of buy-to-rent public housing through public contributions. This highlights the potential of public contributions as a mechanism for housing provision. In areas where government financing is limited, public contributions can provide public housing options for vulnerable households, such as low-income city workers, in areas with excellent accessibility to public transportation. However, reliance on market mechanisms tends to restrict the supply of buy-to-rent public housing to areas with high development potential or land values, potentially leading to regional disparities in the distribution of public housing. To address this issue, fostering a complementary role between public entities and private developers is crucial, with a focus on public interventions in areas that lack private development.

Keywords

Acknowledgement

이 연구는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행되었음(No.NRF-2020R1G1A1102528)

References

  1. Braimoh, A.K., & Onishi, T. (2007). Spatial determinants of urban land use change in Lagos, Nigeria. Land Use Policy, 24, 502-515.
  2. Chung, E. (2003). The impact of structural density on apartment price: Amenity effect and capital gains effect, Journal of Korea Planning Association, 38(5), 127-138.
  3. Chung, Y., & Choi, M. (2012). An empirical analysis of price determinants of townhouse in Korea, Journal of Korea Planning Association, 47(3), 209-219.
  4. Dong, H. (2021). Exploring the impacts of zoning and upzoning on housing development: A quasi-experimental analysis at the parcel level. Journal of Planning Education and Research, Advance online publication, 1-13.
  5. Gabbe, C. J. (2018). Why are regulations changed? A parcel analysis of upzoning in Los Angeles. Journal of Planning Education and Research, 38(3), 289-300.
  6. Hong, S. (2005). Binomial and multinomial logistic regression analysis, Seoul, Kyoyookbook, 38-39.
  7. Ji, N., Lim, B., & Lee, C. (2013). A study on the factors influencing to the changes of building use at the subway station area in Daejeon Metropolitan, Journal of The Korean Regional Development Association, 25(1), 39-56.
  8. Kang, C. (2010). Application of prediction models for real estate development in north Seoul, Korea, The Korea Spatial Planning Review, 65, 53- 74. https://doi.org/10.15793/kspr.2010.65..004
  9. Kim, D., Kim, H., Koo, H., & Kim, E. (2015). Development and application of an agent based urban model, The Korea Spatial Planning Review, 86, 17-31. https://doi.org/10.15793/KSPR.2015.86..002
  10. Kim, J. B., & Heo, J. I. (2022). District-unit plan and calculation of public contribution, Administrative Law Journal, 67, 137-162. https://doi.org/10.35979/ALJ.2022.03.67.137
  11. Kim, J., Nam, J., & Hong, M. (2016). The definition and legal issues of the public contributions as exactions in return for rezoning in Seoul, Urban Design, 17(2), 119-129.
  12. Kim, K., & Yi, C. (2021). An empirical analysis on the influencing factors of building changes by parcel lot in Seoul's low-rise residential areas, Appraisal studies, 20(1), 65-88. https://doi.org/10.23843/as.20.1.4
  13. Kim, S., & Nam, J. (2015). Before and after analysis on the development density change in new railway station area by urban railway expansion in Seoul, Journal of Korea Planning Association, 50(2), 173-195.
  14. Kim, Y., Kim, H., Cheong, H. & Lee, M. (2017). A study on flow ratio and land use characteristics of subway line No. 2 station area, Journal of The Korean Regional Development Association, 29(3), 157-179.
  15. Landis, J. D., Hood, H., Li, G., Rogers, T., & Warren, C. (2006). The future of infill housing in California: Opportunities, potential, and feasibility, Housing Policy Debate, 17(4), 681-725. https://doi.org/10.1080/10511482.2006.9521587
  16. Lee, J., Go, J., Jeon, S., & Jun, C. (2015). A study of land use characteristics by types of subway station areas in Seoul analyzing patterns of transit ridership, The Korea Spatial Planning Review. 84, 35-53. https://doi.org/10.15793/kspr.2015.84..003
  17. Lee, W., & Seo, C. (2020). A study on the improvement of the system for the activation of youth housing supply in Seoul - Focused on the case of Jamsil-dong Songpa-gu Seoul, Journal of The Urban Design Insitute of Korea, 20(2), 41-59.
  18. Lee, S., & Shin, W. (2001). The effect of reconstruction probability on apartment price, Journal of Korea Planning Association, 36(5), 101-110.
  19. Li, F., & Guo, Z. (2022). How does an expansion of mandatory inclusionary housing affect housing supply?: Evidence from London (UK), Journal of the American Planning Association, 88(1), 83-96.
  20. Lin, Y., Chu, H., Wu, C., & Verburg, P. (2011). Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land-use change modeling - a case study, International Journal of Geographical Information Science, 25, 65-87. https://doi.org/10.1080/13658811003752332
  21. Melchor, O. H., & Lembcke A. C. (2020). Developing transit-oriented communities for better accessibility and affordability: The case of the Metro Vancouver Region, OECD Regional Development Papers, 7, 1-50.
  22. Ministry of Land, Infrastructure, and Transport (MOLIT) (2023). (2020, Oct 23) Public rental housing inventory,https://kosis.kr/statHtml/statHtml.do?orgId=116&tblId=DT_MLTM_5525
  23. Park, M., Kim, M., & Cheon S. (2020). Suitability modelling for potential sites for Seoul's 2030 youth-housing projects: Focusing on the 5th policy modification and the youth's demand, LHI Journal of Land, Housing and Urban Affairs, 113(3), 49-59.
  24. Raftery, A. E. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111-163. https://doi.org/10.2307/271063
  25. Seoul Metropolitan Government (SMG) (2022a), Guideline for the purchase of buy-to-rent public housing in SIA youth housing, Retrieved March 07, 2022 from https://news.seoul.go.kr/citybuild/archives/509679
  26. Seoul Metropolitan Government (2022b), Housing supply and project progress report 2017-2021, Retrieved March 07, 2022 from https://news.seoul.go.kr/citybuild/archives/502414
  27. Stylianou, C., Pickles, A., & Roberts, S.A. (2013). Using Bonferroni, BIC and AIC to assess evidence for alternative biological pathways: Covariate selection for the multilevel Embryo-Uterus model. BMC Medical Research Methodology, 13(73), 1-13. https://doi.org/10.1186/1471-2288-13-1
  28. Tepe, E., & Guldmann, J. (2020). Spatio-temporal multinomial autologistic modeling of land-use change: A parcel-level approach, Urban Analytics and City Science, 47(3), 473-488.
  29. Verburg, P. H., Van Eck, J. R. R., De Nijs, T. C. M., Dijst, M. J., & Schot, P. (2004). Determinants of land-use change patterns in the Netherlands. Environment and planning B: Planning and Design, 31(1), 125-150. https://doi.org/10.1068/b307
  30. Wang, X., Kockelman, K., & Lemp, J. (2012). The dynamic spatial multinomial probit model: Analysis of land use change using parcel-level data. Journal of Transport Geography. 24, 77-88. https://doi.org/10.1016/j.jtrangeo.2012.06.011
  31. Won, S., & Hwang, C. (2017). A study on the change of urban land use: According to the change of transportation accessibility, Journal of Cadastre & Land InformatiX, 47(1), 127-142.
  32. Wu, S., Han, G., Park, H., & Oh, D. (2021). Analysis of the effects of youth-housing project in the station area on urban regeneration - Focused on Seoul's youth-housing project and residents' perception survey, Urban Design, 22(5), 73-89.
  33. Yang, H. J., Kim, J. H., Park, D. H., & Kim, N. H. (2022). Rethinking the role of local governments in housing policy: Focused on public rental housing, Housing Studies Review, 30(3): 5-40.
  34. Yun, E., & Choi, C. (2021). A study on the effects of up-zoning on the floor area ratio and its variation: Focused on the change of the station's sphere of influence in Seoul for 20 years since 1997, Journal of The Korean Regional Development Association, 33(2), 81-96.
  35. Zheng, S., & Sigler, T. (2021). Assessing land-use suitability of existing inclusionary zoning projects in the Australian capital territory, Journal of Social Inclusion, 12(2), 30-45. https://doi.org/10.36251/josi228
  36. Zhu, L., Burinskiy, E., Roca, J. D., Green, R. K., & Boarnet, M. G. (2021). Los Angeles' housing crisis and local planning responses: An evaluation of inclusionary zoning and the transit-oriented communities plan as policy solutions in Los Angeles. Cityscape, 23(1), 133-160.