• Journal of Korean Society for Geospatial Information Science
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• v.24 no.2
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• pp.63-70
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• 2016

A housing market in an urban area is not just a single market but a combination of regionally different submarkets. This study begins with a critical mind that previous researches did not consider the spatial autocorrelation of each area where the housings are located. The clustering analysis of housing submarket which considers spatial autocorrelation is performed as it follows. First, 4 housing market attribute variables are reducted to 1 variable by principle component analysis. Then, after calculating $Gi^*max$ by AMOEBA, 7 housing submarkets which have similar characteristics based on $Gi^*max$ are classified. The characteristics of each submarket are investigated, then political implication is deduced as the following. Different level of housing policy should be made to each cluster because each cluster has different level of spatial autocorrelation.

• Journal of the Korean Geographical Society
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• v.45 no.2
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• pp.240-255
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• 2010

This empirical study researched the three major phenomena of differentiation of housing market under the large scale of new town construction in the metropolitan area, the spatial differentiation pattern of housing market due to the urban growth, and the relationship with the distribution of housing submarket and suburbanization. Yongin City, one of the most active growth cities among the metropolitan areas, is optimal place to investigate the spatial differentiation pattern of the housing submarket on the microscopic scale. Furthermore, Yongin City has not only the geographical benefit but also the strong influences from institutional, social, and environmental changes. This city is divided into four housing submarkets, where to Gangnam and Boondang, Gyeongbu and Youngdong expressway has significant effects. In addition, the housing tenure and size, household structure, educational background and income levels and so on also resulted in the differentiation of the housing submarket.

• Korean Journal of Construction Engineering and Management
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• v.20 no.2
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• pp.68-78
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• 2019

Recently, housing prices have surged, and the government has implemented various regulations, such as finance and taxes. Because of the policy, the nationwide housing price have stabilized, but polarization has occurred. Some argue that regulation can adversely affect the actual demand. Therefore, not only the correlation between market variables but also ripple effect of policy has to be analyzed in policy planning and analysis from a microscopic point of view. In this study, a simulation model was developed by integrating system dynamics for analyzing market structure and agent-based model for modeling decision process of market participants. This research applied the financial regulation and the tax regulation to the model and evaluated the policy effectiveness. This study reveals which feedback dominates according to the policies, which have same purpose. It is because market participants make different decision for each policy. Furthermore, there were other ripple effects not only in the policy target submarket but also in other submarket.

• Land and Housing Review
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• v.4 no.1
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• pp.1-13
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• 2013

In the post-war period, the mass provision of social rental housing units represented the primary means for resolving housing welfare issues across much of Western Europe. In contrast to North America, large swathes of state subsidized rental housing where built and let-out at submarket rents, both to needy as well as regular working households. By the 1980s social housing accounted for as many as four in ten homes in some contexts. Since then however, these important welfare sectors have been under attack. On the one hand, privatization policies have continued to undermine the basis of social renting with home ownership and private rental sectors advanced by policy as preferable alternatives. On the other hand, social housing providers have been restructured in order to play a more residual role in the housing market and serve more targeted groups of socially vulnerable people. This paper assesses key differences in the development of West European social housing sectors as well as recent transformations in their status that represent a challenge their sustainability. It also looks to what insights this provides for the South Korean housing context where public housing has proliferated and been increasingly diversified in recent years.

• Journal of The Korean Digital Architecture Interior Association
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• v.12 no.1
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• pp.89-98
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• 2012

While the housing transaction price of Seoul tends to be stagnant or declining in line with the housing market recession since 2007, the jeonse price keeps continual increase. Such flow of jeonse price change has a serious influence on ordinary person's housing stability seriously. Therefore, it is very meaningful in terms of social policy to analyze the trend of recent jeonse price change. This study aims to have an empirical analysis of structural characteristics of the trend of recent jeonse price change. After the review of various previous studies, this study selected housing jeonse price index, non-sold house quantity, jeonse vs. transaction price rate, and housing construction performance as analytical variables, and employed monthly time series resources from January 2007 to April 2011. As a result, when the housing supply reduced, the potential quantity for jeonse market reduced that occurred unbalance of supply and demand in jeonse market. In turn, it caused the increase of jeonse price. And, in case of jeonse vs. transaction price rate change, the rate increased which means the increase of required rate of return of invested demand. As such, the increase of market risk degenerates the investment sentiment which caused the reduction of quantity for jeonse market as a submarket.

• Journal of Korean Society for Geospatial Information Science
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• v.24 no.4
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• pp.75-81
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• 2016

This study focused on exploring real transaction price of apartment and spatial and temporal heterogeneity of the variables that influence real transaction price of apartment from the spatial and temporal perspective. As independent variables that are considered to influence real transaction price of apartment, transport, local characteristics, educational conditions, population, and economic characteristics were taken into account. Accordingly, the influence of independent variables and spatial distribution pattern were analyzed from the global and local aspects. The spatial and temporal changing patterns of real transaction price of apartment which is a dependent variable were analyzed. First, to establish an analysis model, OLS analysis and GWR analysis were conducted, and thereby more efficient and proper model was selected. Secondly, to find spatial and temporal heterogeneity of independent variables with the use of the selected GWR model, Local $R^2$ was used for local analysis. Thirdly, to look into spatial distribution of independent variables, kriging analysis was carried out. Therefore, based on the results, it is considered that it is possible to carry out more microscopic housing submarket analysis and lay the foundation for establishing a policy on real property.