• Communications for Statistical Applications and Methods
• /
• v.15 no.2
• /
• pp.173-191
• /
• 2008

The goal of this paper is analyzing and modeling the trend of apartment market price in Seoul using the dynamic linear model(DLM). We use the market price per pyeong of 30-pyeong-apartment provided by "KB apartment market price database" of Kookmin bank. The data is collected from June $24^{th}$, 2003 to August $28^{th}$, 2006. The inspection of the data reveals that the trend of apartment market price in Seoul can be divided into two groups and we assume that the price is expressed by the common trend of divided groups. We try to estimate the price of apartment by DLM using the Bayesian method.

• Journal of Digital Convergence
• /
• v.11 no.2
• /
• pp.175-182
• /
• 2013

In this paper, the simulation model of house price is presented on the basis of pricing mechanism between the demand and the supply of apartments in seoul. The algorithm of house price simulation model for calculating the rate of price over time includes feedback control theory. The feedback control theory consists of stock variable, flow variable, auxiliary variable and constant variable. We suggest that the future price of apartment is simulated using mutual interaction variables which are demand, supply, price and parameters among them. In this paper we considers three items which include the behavior of apartment price index, the size of demand and supply, and the forecasting of the apartment price in the future economic scenarios. The proposed price simulation model could be used in public needs for developing a house price regulation policy using financial and non-financial aids. And the quantitative simulation model is to be applied in practice with more specific real data and Powersim Software modeling tool.

• The Korean Journal of Applied Statistics
• /
• v.33 no.5
• /
• pp.603-614
• /
• 2020

This study focuses on the prediction and factors of apartment prices in Seoul using a convolutional neural networks (CNN) model that has shown excellent performance as a predictive model of image data. To do this, we consider natural environmental factors, infrastructure factors, and social economic factors of the apartments as input variables of the CNN model. The natural environmental factors include rivers, green areas, and altitudes of apartments. The infrastructure factors have bus stops, subway stations, commercial districts, schools, and the social economic factors are the number of jobs and criminal rates, etc. We predict apartment prices and interpret the factors for the prices by converting the values of these input variables to play the same role as pixel values of image channels for the input layer in the CNN model. In addition, the CNN model used in this study takes into account the spatial characteristics of each apartment by describing the natural environmental and infrastructure factors variables as binary images centered on each apartment in each input layer.

• 주택과사람들
• /
• s.221
• /
• pp.60-63
• /
• 2008

강남권에서 전셋값이 크게 하락하고 있다. 주된 원인은 대규모 재건축 아파트 입주가 시작되면서 공급이 크게 증가했기 때문이다. 반면, 강북 지역 전셋값은 천정부지로 치솟고 있다. 전세난을 겪고 있는 서울 지역 전세 시장의 해결책은 무엇일까?

• 주택과사람들
• /
• s.199
• /
• pp.40-45
• /
• 2006

지난 10월 말 검단신도시 발표 이후 인천 부동산 시장이 스포트라이트를 받았다. 기존의 인천 경제자유구역과 택지지구 주변의 아파트, 토지 시장이 유망 투자처로 손꼽히면서 수요자들의 관심이 쏠리고 있다. 서울, 수도권 지역 집값 상승의 기폭제가 되었던 검단신도시를 다녀왔다.

• Journal of the Economic Geographical Society of Korea
• /
• v.13 no.4
• /
• pp.515-528
• /
• 2010

This study analyzes the impacts of mixed-use development and transportation on housing values in Seoul, Korea. An index measuring the land use mix is proposed using three components of land uses, residence, office, and retail, which are the essential elements for everyday urban life. This index offers a relatively easy way in measuring the level of mixed-use and proves itself useful providing sensible and reliable results in this empirical study. Also surface and underground transportation accessibilities are measured. By covering both surface and underground, a comprehensive view of Seoul's transportation accessibility is provided. Finally, housing value models are constructed with developed variables, i.e. land use mix index and accessibility measures, as well as relevant socio-economic variables. The empirical outcomes verifies that mixed-use development and transportation accessibility positively affect housing values.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.29 no.6D
• /
• pp.711-717
• /
• 2009

This study develops model for analysis of relationship between major node (Interchange in expressway) and land price formation of apartments along with Seoul Belt Expressway by using CHAID analysis. The results show that first, regions(outer side: Gyeongido, inner side: Seoul) on the line of Seoul Belt Expressway are different and a graph generally show llinear relationships between land price and traffic node but it does not; second, CHAID analysis shows two different spatial distribution at the point of 2.6km in the outer side, but three different spatial distribution at the point of 1.4km and 3.8km in the inner side. In other words, traffic access does not necessarily guarantee high housing price since the graphs shows land price related to composite spatial distribution. This implies that residential environments (highway noise and regional discontinuity) and traffic accessibility cause mutual interaction to generate this phenomenon. Therefore, the highway IC landprice model will be beneficial for calculation of land price in New Town which constantly is being built along the highway.

• Journal of Korean Society of Transportation
• /
• v.19 no.4
• /
• pp.19-33
• /
• 2001

In the developed countries, traffic noise is one of most serious problems faced by people's lives. So the importance of the traffic noise is quite well recognized by the infrastructure planners as well as the people. The traffic noise is valued in monetary terms in some countries and it is reflected in estimating the net present value or benefit/cost ratio. On the contrary, the effects of traffic noise are not reflected in the assessment of infrastructure in most cases in Korea. However, as the income level has been increasing, more people have been becoming to put more importance on their living conditions. The purpose of this paper is to estimate the value of traffic noise in the Seoul metropolitan area. The housing price were surveyed to use the quasi-hedonic price technique. By this way, two housing prices at the same floor level in different 128 complexes in the Seoul metropolitan area were surveyed. the actual traffic noise level was also measured. The differences of housing prices and noise levels were analyzed using the various types of regression models. The value is quite different by size of house. The value of large house is higher than that of small house. Since the income level of people in large house is higher than that in small house. it might be said that value of traffic noise for high income people is higher than that for low income people. Moreover, the increase of 1dB(A) noise affects the house price by about 0.3% in Seoul metropolitan area.

• Environmental and Resource Economics Review
• /
• v.28 no.1
• /
• pp.61-93
• /
• 2019

This study is to apply Hedonic Price Method in analyzing residents' preferences for three types of urban green space (UGS, rivers, urban parks, and forests) near the apartment complexes in Seoul. Based on hedonic price function estimation results, residents in Seoul preferred for the urban amenity that was provided by the view and accessibility (in terms of both within 10 minutes and distance) of rivers and urban parks near the apartment complexes, but not forests. The annual benefits calculated using the shadow prices are about 550~600 thousand won for the urban park views and about 800 thousand won for the accessibility, which is 2-3 times higher than river views and accessibility. On the other hand, forest views and accessibility did not have significant effects on apartment prices, except the view of Bukhan mountain for the residents of Gangbuk area. Based on the empirical results, Seoul residents' preferences for urban parks would have important implications for the urban park sunset program that will be initiated from July 2020.

• KDI Journal of Economic Policy
• /
• v.10 no.3
• /
• pp.51-63
• /
• 1988

본(本) 연구(硏究)의 목적은 주식시장이론(株式市場理論)에서 개발된 시장(市場)의 중강효율가설(中强效率假設)(semi-strong from of the efficient market hypothesis)을 적용, 서울 강남지역 137개 유형의 아파트에 대한 1983년부터 1988년까지의 분기별(分期別) 매매가격자료(賣買價格資料)를 사용하여 주택매매시장(住宅買賣市場)의 효율성(效率性)을 실증분석하고자 함에 있다. 본(本) 연구(硏究)의 실증분석결과에 의하면 주택투자자(住宅投資者)들이 정부정책의 변화나 아파트 가격에 영향을 주는 공공정보(公共情報)들을 빠른 시일내에 자본화(資本化)(capitalize)하지 못함으로써 주택매매시장(住宅賣買市場)은 재정이윤(裁定利潤)(arbitrage profit)이 상당기간 존재하는 비효율성(非效率性)을 갖고 있는 것으로 나타났다. 이는 주택이라는 재화(財貨)의 특수성에도 원인이 있지만 더 중요한 원인으로는 만성적인 주택수급(住宅需給) 불균형(不均衡)과 공공정보(公共情報)에 대한 투자자들의 이질적(異質的) 기대(期待)(heterogeneous expectation)를 들 수 있다.