• 한국태양에너지학회:학술대회논문집
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• 2008.04a
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• pp.318-323
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• 2008

First aim of this study is to investigate consumer's actual value for environment related performance of house by using three different method, Ranking, Analytical Hierarchy Process (AHP) and Conjoint Analysis method. Second aim is to estimate consumers' monetary value about environment related factor through Marginal Willing to Pay(MWTP), and third aim is to find out the difference of values between the groups classified according to respondents' characteristics. A questionnaire survey was carried out in Seoul in order to clarify the preference and monetary value of four selected attributes. They are environmental performance, residents' health, home automation and increase of floor area. As a result, people showed high values in the order of health, environmental consideration, increase of floor area and home automation. Moreover, it was found out that MWTP for environmental performance and health are higher than market price. In addition, the group of high age and group of female showed high values for the reduction of $CO_2$ emission

• Journal of the Korean housing association
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• v.20 no.3
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• pp.97-104
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• 2009

Today, apartment is the most common residence type and various behavior occurs in living room space of apartments. Active usage of living room in modem life increases user's desire of wanting a better environment and leads to find various methods such as remodeling. At the point when considering moving or remodeling, this study focuses on the change of lighting color as it is one of the methods for initial stage with moderate price. As living room is easily influenced by lighting, providing active environment to support inhabitant's behavior through the use of various lighting sources will cut down unnecessary remodeling costs and may be the most simple method to actualize lighting environment for inhabitant's behavior. To give change with the least effort, change in artificial lighting environment was attempted with combinations of lighting color and switching on lights according to illuminating location. This study suggested the capability of changing lighting environment of previous living room area by exchanging lighting sources in lighting equipment in order to satisfy the required behaviors of inhabitant.

• Journal of the Korean housing association
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• v.23 no.5
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• pp.61-73
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• 2012

This study applied the value of floor-area-ratio standard calculation method to case areas and analyzed them to overcome the limits of previous studies in calculation methods for area standards and land price (value) standard development rights. The results are presented as follows: First, criteria to select sending areas and receiving areas are needed. Second, calculation methods based on the value of floor-area-ratio standard can be widely used as standardized criteria in various areas. Third, for the connection of sending areas with receiving areas, the connections of 1:1, n:1, 1:n, and n:n are available and the location of possible dealing areas should be considered. Also, the choice of connecting unions that meet the purpose of TDR presented by local governments is available. Fourth, for Gwangju, as receiving areas downtown provide higher profits than previous renewal projects, the application of TDR is available. Application methods to overcome problems are presented as follows: First, criteria to select sending and receiving areas should be prepared and implemented in an order of priority. Second, in calculating development rights, methods based on the value of floor-area-ratio standard should be used. Third, the standards and principles of sending and receiving areas should be designated and possible dealing areas should not be limited.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.33-40
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• 2020

The main aim of the study is to test a house pricing model by combining hedonic and asset-based pricing models. An understanding of the relationship between house pricing and its return (the rental income) helps to establish houses as a significant asset class. The model tested the relationship between house pricing (dependent variable) and the house attributes (independent variables) derived from Freeman's framework of housing attributes. This study uses a large data-set of 1,899 sample of new, high-end houses purchased between 2016 and 2019 collected from the national capital region of India (Delhi-NCR). The algorithm was built in R-Script, and stepwise multiple linear regression was used to analyze the model. The analysis of the model proves that the three significant variables, namely, carpet area, pay-off, and annual maintenance charges explain the price function. Further, the model is statistically fit. The major contribution of the study is to understand the key factors and their influence on the house pricing. The model will be helpful in risk assessment in the housing investment and enhance the chances of investment. Policy-makers can use information about the underlying valuation drivers of the house prices to stabilize the market and also in framing the tax policies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.433-442
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• 2021

This study analyzed the housing market before and after the New Stay movement which was introduced in 2015. In this study, the territories having a New Stay Project and non-involved territories were analyzed based on the apartment price changes according to supply for 12 months before and after the movement date. This study used the difference-in-differences statistical technique. A comparison was carried out in Michuhol-gu, Incheon between Dowha-dong where a New Stay Project was executed, and Sungeui-dong where no project was executed, based on the movement date. It was seen that the price level in the former territory was higher than the latter demonstrating that the introduction of the New Stay Project in Dowha-dong lowered the apartment prices nearby (Sungeui-dong). A comparison in Gwonseon-gu, Suwon between Omogcheon-dong where a New Stay Project was executed and Gosaek-dong where there was no such project, based on the movement date showed that the introduction of the New Stay Project in Omogcheon-dong seemed to lower or stabilize the apartment prices nearby (Gosaek-dong). These results imply that the apartment prices in nearby areas can be stabilized if the supply volume of company-type rental houses is increased.

• Environmental and Resource Economics Review
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• v.21 no.4
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• pp.999-1024
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• 2012

The Purpose of this study was to assess the willingness to pay(WTP) for the new road construction plan(slip road of urban highway which was advertising extensively to reduce the time to the core of metropolitan area) on housing prices using contingent valuation method(CVM). And this study was an empirical study which was based on the consciousness of residents whose apartment was within the Suwon Si's new plan of 47th road construction zone. In this study, it was revealed that the resident's WTP for the plan of new road construction which was built on the neighborhood of apartment was within the 10 percent of housing prices that was similar to the standard declared price of MLTM(Ministry of Land, Transport and Maritime Affairs). And also revealed that the difference of sale prices of real estate company was 24 percent. The statistical assessment results show that both the resident's characteristic variables such as gender, incomes, size of apartment and the accessability variables such as distance to parks, schools, department stores, living facilities were positive effects on the prices of apartments significantly. Finally, the house has depreciated than that of MLTM and WTO since torpedoed the road construction plan. These results imply that, we have to take capital appreciation of the property into account due to road construction since the accessibility was very significantly positive internal effects on the apartment housing prices.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.737-744
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• 2016

Seoul Metropolitan Area has been changed by fierce internal migration during the last several decades. To determine the regional structure, we analyzed the in-and-out migration pattern and main factors affecting the intense of mobility. The migration within metropolitan city and province shows that in Seoul, Songpa and Dobong Gu gained a large population, in Incheon, Namdong Gu experienced a huge population influx, and in Gyeonggi Province, Hwasung, Yongin and Paju city gained a great population. In Seongnam, Suwon city lost a lot of population. These population gains and losses came from mainly residential redevelopment projects in the metropolitan city and new land development projects in Gyeonggi Province. The main factors affecting the intense of mobility diverse from city characters. In central type cities, house price gets the more population influx. In job-housing balanced cities, total income growth rate, housing supply rate and roads cause in-migration. In bed-town type cities, the increase of housing supply rate and parks increase the population. In suburban type cities, business density, housing supply rate, housing, subway station number and educational facilities increase population from outside the city. So, we have to prepare more detailed urban and housing policy responses.

• Journal of Cadastre & Land InformatiX
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• v.51 no.2
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• pp.125-139
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• 2021

Continuous subway line expansion over the years in Seoul metropolitan area has contributed to improved accessibility to public transport. Since public transport accessibility has a significant impact on housing decisions, quantitative analysis of correlation between housing prices and public transport accessibility is regarded as one of the most important factors for planning better housing policies. This study defines the reduction of traveling time resulted from the construction of new metro stations despite them not being the closest stations as 'Network Expansion Effect', and seeks to understand how the Network Expansion Effect impacts on housing prices. The study analyzes monthly rent data converted from upfront lump sum deposit, so called Jeonse in Korea, from 2012 to 2018, through 'A Modified Repeat Sales Model.' As a result, the effect of 'Network Expansion' on rental prices in Seoul has stronger during the period of 2017 to 2018 than the base period of 2012 to 2014, which suggests the 'Network Expansion' has a meaningful effect on rent. In addition, in comparison between the most and the least affected group of apartments by 'Network Expansion Effect', the most affected group has more price increase than the least affected group. These findings also indicate that different levels of 'Network Expansion Effect' have various influences on the value of residential real estate properties.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.3D
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• pp.409-418
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• 2009

The aim of this study is to analyze the evaluations and determinants on residential resettlements in accordance with urban regeneration by 7,396 samples from 19 housing redevelopment districts in Busan. The major finding on determinants on residential resettlements in accordance with urban regeneration are as follows; A binary logit model for determinants on residential resettlements in accordance with urban regeneration are composed of owner's characteristics, land and building characteristics, housing complex characteristics, and location characteristics. The significant variables in relation to owner's characteristics are owner's age, owner's place of residence, the possession period against property and investment intention. As a result of logit model for residential resettlements, it shows that the variables in relation to land and building characteristics are the land classification, the use of building, the size of land or building, the permission of building and the appraisal price on land and building. This result means that actual customer's investment connects to resettlement after redevelopment project. The other side, the housing complex variables consist of the brand of construction company, the ratio of large size housing and floor are ratio shows that improvable conditions for housing value are important factor to induce residence's resettlement. The location variables show that Dongbusan has higher probability, the reverse Jungbusan has lower probability in residential resettlement likewise residential preference.

• Journal of Korean Society of Transportation
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• v.36 no.2
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• pp.129-140
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• 2018

In this study, we analyzed the electric vehicle (EV) purchasing behavior with market segmentation in Seoul using the binary logit model. For the model estimation, the experimental design of SP survey generated 24 scenarios with purchase price, charging station availability, and driving range of EVs. The results of market segmentation analysis indicated that the owners of subcompact and compact size cars were primarily affected by the purchasing price while those of mid and full size cars were more sensitive to the charging station availability. By housing type, the charging station availability was the most important factor for the residents of apartment while the purchase price was the most important factor to choose the EVs. These results presented that the EV supply strategy of the automobile manufacturer should be diversified according to the marketing target and the expansion of the public charging infrastructure should be the top priority in the government policy.