• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.3
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• pp.43-59
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• 2024

This study focuses on identifying the impacts of the Nowon resource recovery facility in Seoul, Korea, on the real transaction price of apartments in the neighboring areas between 2006 and 2022, and the spatial extent of the impact. Resource recovery facilities, which generate electricity and heating energy while disposing of waste, are typical unwanted facilities that have a negative impact on neighboring property prices. As direct landfilling of household waste is banned in Seoul from 2026 and nationwide from 2030, the demand for the expansion of waste incineration facilities, including resource recovery facilities, is expected to increase rapidly. In addition, social disputes related to the decline in neighboring property prices are expected to increase. This study analyses the impact of the Nowon resource recovery facility on surrounding apartment prices over a 17-year period since 2006 using hedonic price models for apartments, and finds that the Nowon resource recovery facility consistently has a negative impact on nearby apartment prices, the spatial extent of the impact is at least 1,000 meters from the facility, and the intensity of the negative impact weakens as the distance from the facility increases. The results of this study differ from recent studies finding that the spatial extent of the impact of resource recovery facilities in Seoul on surrounding property prices is limited within 500~600 meters, suggesting that a broader approach is needed to systematically manage social conflicts that are expected to increase with the growing social demand for resource recovery facilities.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.39-51
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• 2023

This study uses the hedonic price approach to estimate the economic value of a parking lot in an apartment building. In this study, a logarithmic function was applied to estimate the price elasticity of parking spaces. Variables were composed of an independent variable (apartment house characteristics) and a dummy variable (external characteristics). Detailed variables include exclusive area, number of floors, waterproofing, number of bathrooms, and number of parking spaces per household. Based on the results of the analysis for the entire year, the increase in the number of parking spaces affects a price increase of approximately 25.97 million won to 59.68 million won, which can be interpreted as the economic value of the parking space. However, since Hanam City was specified in this study, there is a limit to generalizing the current results and using them for project evaluation.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.43-51
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• 2012

The OLS(ordinary least squares) method is widely used in hedonic housing models. One of the assumptions of the OLS is an independent and uniform distribution of the disturbance term. This assumption can be violated when the spatial autocorrelation exists, which in turn leads to undesirable estimate results. An alterative to this, spatial econometric models have been introduced in housing price studies. This paper describes the comparisons between OLS and spatial econometric models using housing transaction prices of Busan, Korea. Owing to the approaches reflecting spatial autocorrelation, the spatial econometric models showed some superiority to the traditional OLS in terms of log likelihood and sigma square(${\sigma}^2$). Among the spatial models, the SAR(Spatial Autoregressive Models) seemed more appropriate than the SAC(General Spatial Models) and the SEM(Spatial Errors Models) for Busan housing markets. We can make sure the spatial effects on housing prices, and the reconstruction plans have strong impacts on the transaction prices. Selecting a suitable spatial model will play an important role in the housing policy of the government.

• Journal of Korea Water Resources Association
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• v.46 no.3
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• pp.277-285
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• 2013

The purpose of this research is to evaluate the scenic value of the Gyungin Ara waterway in real estate prices. Apart from the multi-functionality such as transportation of passengers and freight, prevention of floods, and provision of leisure areas, the Ara waterway possesses a scenic function which offers people esthetic value through unique and beautiful scenery. This scenic function is an externality for apartment residents living nearby. The applied methodology for this research is the Hedonic Price Model (HPM) which creates a cause and effect model between real estate prices and attributes. Variables such as apartment sale prices, complex characteristics, location characteristics, timely characteristics have been deduced through data collected from a total of 4,207 households that have experienced actual transactions during the same period, all located within the scenic benefit boundaries of the waterway. Landscape variable has been derived from algorithm designed by a combination of digital map and Google Mapview. The scenic value of the waterway estimated through the application of HPM on these variables is 165,000 Won per area (pyeong). The regional asset enhancing effect caused by the landscape view of the waterway is estimated to be 89.1 billion won.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.1
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• pp.183-201
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• 2022

Estimating the implicit value of housing assets is a very important task for participants in the housing market. Until now, such estimations were usually carried out using multiple regression analysis based on the inherent characteristics of the estate. However, in this paper, we examine the estimation capabilities of the Artificial Neural Network(ANN) and its 'Deep Learning' faculty. To make use of the strength of the neural network model, which allows the recognition of patterns in data by modeling non-linear and complex relationships between variables, this study utilizes geographic coordinates (i.e. longitudinal/latitudinal points) as the locational factor of housing prices. Specifically, we built a dataset including structural and spatiotemporal factors based on the hedonic price model and compared the estimation performance of the models with and without geographic coordinate variables. The results show that high estimation performance can be achieved in ANN by explaining the spatial effect on housing prices through the geographic location.

• Journal of the Korean Regional Science Association
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• v.38 no.4
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• pp.45-58
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• 2022

This study intends to compare the factors influencing the location of international schools on apartment sales and monthly rent prices for Songdo International School in Incheon, which has a history of more than 10 years. At the latest point, 10 years after the opening of the school, apartments in areas near international schools are divided into sales and monthly rent markets and analyzed. Songdo International City, designed as a planned city, was set as a spatial scope, and 2018-19, which is a relatively stable real estate period, was set as a temporal analysis period to avoid the overheating period of real estate after COVID-19. Considering the urban image of the "New Special Education Zone," such as the opening of Songdo Campus by private academies formed around international schools and domestic and foreign universities, the multiple regression model was applied based on the traditional Hedonic price model. As a result of the empirical analysis, first, differences in the price determinants of sales and monthly rent were confirmed. Second, the price influence of international schools was much higher than that of the variables. Third, the influence of international schools was more pronounced in the monthly rent market than in the sales market.

• Journal of Cadastre & Land InformatiX
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• v.52 no.2
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• pp.189-210
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• 2022

Cities around the world have paid attention to public transportation as an alternative to reducing traffic congestion caused by automobile usage, excessive energy consumption, and environmental pollution. This study measures accessibility to subway stations in Seoul using a supply-demand-based accessibility technique. Then, the impacts were analyzed through land prices by use and segment. As a result of analysis using the multilevel hedonic price models, accessibility considering both supply and demand for the subway had a positive effect on both residential and non-residential land prices. The effect was stronger for residential than for non-residential. Further, among the accessibility measured by the three functions, the accessibility by the Exponential function was most suitable for the residential land price, and the accessibility measured by the Power function for the non-residential land price had the highest explanatory power. Also, looking at the impacts by land price segments, it was found that higher access to metro stations had the greatest positive impacts on the most expensive segment of residential and non-residential land prices. The results of this study can be applied not only to identify the impacts of public investment on neighborhoods, but also to support real estate valuation.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.231-240
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• 2022

This study empirically analyzed the effect of complex commercial facilities on the price of nearby apartments in a Hedonic price model. The spatial range of this study was the walking area of H Department Store located in Pangyo among the second new towns suburb of Seoul, and the time range was 2020. The dependent variable was the real transaction price of the apartment, and independent variable were the characteristics of the housing, the characteristics of the complex, and the characteristics of the region. As a result of the analysis, the area of exclusive use space, the transaction floor, and the highway accessibility had a positive effect on the price of the apartment, and the elapsed year had a negative effect on the price of the apartment. However, the size of the apartment had little effect on apartment prices, and the distance from the complex commercial facilities was shown to be related to apartment prices, indicating that apartment prices declined as it moved away from the complex commercial facilities. Therefore, this is much more influential than the influence of distance from subway stations on apartment price. This confirms that the effect factors of apartment prices and the size of their influence appear differently in the new town area and the existing metropolitan area.

• Journal of the Korean housing association
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• v.22 no.5
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• pp.47-57
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• 2011

The purpose of this research is to demonstrate the necessity of conserving and maintaining eco-parks by estimating their economic value. Wonheung-ee Park in Sannam 3 District of Cheongju City was chosen as the subject and a quantitative estimation was conducted. The quantitative analysis utilized the hedonic price model that estimates the value of non-market goods. The summarized results of this study are follows. The subject park influenced the prices of its neighboring apartments. The most important factor was the distance between the park and the subject apartment. When the distance was longer than 400m, the impact was greatest. The quantitative assessment also showed that apartment prices and the distance between an apartment and the park had a negative relationship. When the distance increased by 1%, apartment prices decreased by 0.430%. This means that within a certain distance, the closer an apartment is to the park, the higher is the price. Demonstrating the economic value of eco-parks, this study also supports the importance of preserving eco-areas. It generally shows that when we develop a city, we should refrain destroying the ecosystem.

• Journal of the Korean Society of Marine Environment & Safety
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• v.14 no.4
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• pp.275-287
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• 2008

Noise externalities are a ubiquitous problem in modern societies. Research to estimate damages and potential efficient solutions therefore is important for addressing such problems. The results of a hedonic property model show that noise has a statistically significant and quantitatively important negative effect on property values. The key results for the best model show that damages (in year 2000 dollars) are - $5000 ${\ast}$ (ln dB), where dB is noise measured in decibels, allowing for the influence of other factors. Because ln(dB) is a strictly concave funaion, the "noise damage function"exhibits diminishing marginal effects with noise.