Application of Prediction Models for Real Estate Development in North Seoul, Korea (부동산개발 예측모형의 적용방안 연구: 서울시 강북지역을 사례로 )

Chang-Deok Kang (강창덕)

doi:10.15793/kspr.2010.65..004

Application of Prediction Models for Real Estate Development in North Seoul, Korea

The Korea Spatial Planning Review
2010, 65(), pp.53-74
DOI : 10.15793/kspr.2010.65..004
Publisher : 국토연구원
Research Area :

Chang-Deok Kang ¹

¹서울시립대학교

Accredited

ABSTRACT

This paper aims to apply the prediction models for real estate development in North Seoul from 2001 to 2007. After reviewing related literature and gaining related data in 2001 and 2007, the multinomial logit models for this analysis identifies the effects of socioeconomic attributes, land price and land use regulation, transportation and locational attributes, and land use mix on the change of real estate development in North Seoul. This study also reveals the probability of each real estate development from the multinomial logit models and discusses the results. This study confirms that the rise of employment density, land price, and transportation facilities encourage the development of raw lands. Further, single family housing near transportation network tends to be converted to condominium, commercial and retails, and mixed-use due to the increase of employment density and proximity to transportation facilities. Finally, the prediction models in this study would be applied to forecast urban growth, climate change, and energy and water consumption in Korea.

KEYWORDS

Real Estate Development, Prediction Models, North Seoul

Citation status

* References for papers published after 2023 are currently being built.

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The Korea Spatial Planning Review 2023 KCI Impact Factor : 1.2

Application of Prediction Models for Real Estate Development in North Seoul, Korea

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

The Korea Spatial Planning Review 2023 KCI Impact Factor : 1.2

Application of Prediction Models for Real Estate Development in North Seoul, Korea

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.