• Title/Summary/Keyword: Housing Price

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A Study on the Parking Supply and Management Strategics for Multi-Family Housing Sites (공동주택 주차공급 및 관리방안 연구)

  • 안정근
    • Journal of Korean Society of Transportation
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    • v.17 no.2
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    • pp.41-53
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    • 1999
  • The rate of automobile ownerships has been increased significantly in multi-family housing sites so that government has made new parking regulations increasing the rate of parking supply by the high demand of parking lots in multi-family housing sites. However, the new regulation of parking supply has several problems that it applies to only new multi-family housing sites and disregards to the locational distinctions around the sites. It also has reduced to the open spaces in the sites and increased the price of housing units especially to the small size units of multi-family housing sites by increasing the number of underground parking lots. Furthermore, the residents have not been equal opportunity to access their parking lots even though they have been charged to equal amount of financial burden for the construction of underground parking lots. This research aims to relieve above problems by analysing parking supply and demand management strategies both domestic and foreign countries, and suggest to new parking management system for multi-family housing sites in 21st Centuries. This research reveals that most of multi-family housing sites want to be applied 1) diverse parking supply regulations considering the locational distinctions of sites, 2) parking lot ownership programs, 3) charging parking fees to second vehicles, 4) increasing parking lots both in the sites and around the sites, 5) enforcing police power to the parking violation vehicles to their sites. Especially, the multi-family housing sites consisting of small & medium size of units and locating in small & medium size of cites strongly want to be accepted new Parking regulations considered their locational and social distinctions and applied police power to the parking violation vehicles in their sites compared to the other multi-family housing sites.

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Analysis Methodology for Feasibility Study of Remodeling of Aged Apartment by Comparative Analysis of Price Influencing Factors (가격 영향요인 비교분석을 통한 노후 공동주택 맞춤형 리모델링의 사업성 분석 방법론 제안)

  • Bae, Byungyun;Kim, Kyungrai;Shin, Dongwoo;Cha, Heesung
    • Korean Journal of Construction Engineering and Management
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    • v.18 no.6
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    • pp.47-56
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    • 2017
  • As of 2017, there are 848 million households living in apartment and 55.87% of Aged apartments over 15 years old. The allowable standard for remodeling the apartment is more than 15 years and the market for remodeling the apartment will continue to increase. For the success of the remodeling project feasibility analysis is important but the existing feasibility analysis of new construction and reconstruction is being used for remodeling feasibility analysis. Therefore, it is necessary to study the feasibility analysis of customized remodeling without increasing the number of households according to the building law. Purpose of this paper is to develop a feasibility analysis methodology for customized remodeling projects by deriving the factors affecting the formation of land prices and building prices in apartment. According to the concept of price formation of the apartment, the analysis method of the customized remodeling of the old apartment using the factors affecting the Land Price Indexes, Officially Assessed Individual Land Price, House Price Indexes, and Officially Assessed Individual House Price was suggested. The Stair Price Algorithm developed in this research can be utilized at the stage of selecting remodeling contractors after the remodeling housing association is established.

Effects of Types and Locational Characteristics of Urban Parks on the Apartment Price (도시공원의 유형 및 입지적 특성이 공동주택가격에 미치는 영향)

  • Lee, Go Eun;Choi, Yeol
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.36 no.5
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    • pp.927-936
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    • 2016
  • This research aims to analyze the effect of different types of urban parks and their locational characteristics on the apartment price in the entire metropolitan area of Busan, Korea. Although an urban park is an environmental good that influences the surroundings in many ways, most of the previous studies have underestimated its impact on the value of the surrounding area. This research focuses on the economic value of urban parks by understanding their relationship with the value of the apartments in the surrounding area with its significance in their physical and objective characteristics. Furthermore, the research emphasizes the different typological characteristics of urban parks in the analysis. In summary of the result, the number of levels (stories) and units of the apartment complex, ranking of the contractor, age of a park and accessibility to sub-central are positively related to the price of apartment units. On the other hand, the total area of apartment complex, the age of apartments, the distance to the nearest park and accessibility to civic-central or regional district are negatively related to the price of apartment units. Having a plan for constructing a park is also positively related to the price. For the typological characters of a park, neighborhood park, small-sized park, and sports park are positively related to the price, while children's park is negatively related to the price of apartment units. Considering that the price increases as the distance to the nearest park decreases, people prefer to live near the benefits that urban parks provide. In order to maximize the value and benefits that parks provide, it is necessary to approach them creatively.

Estimating WTP for the reduction of disamenity in the Seoul Metropolitan Area Landfill site using the Hedonic Pricing Model (헤도닉가격모형을 이용한 수도권매립지 유발 비효용(disamenity) 감소에 대한 지불의사액 추정)

  • Kang, Heechan
    • Environmental and Resource Economics Review
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    • v.29 no.3
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    • pp.335-362
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    • 2020
  • Using the Hedonic pricing model using Box-Cox transformation, this paper estimated the marginal effect (implicit price) of odors from landfill in the metropolitan area on housing prices and the willingness to pay for changes in certain odor conditions. This paper utilized the proximity from the landfill in the metropolitan area as a environmental variable, and analyzed the effect of various housing characteristic variables on the sale price of apartments within a radius of 5 km from the landfill. In particular, because odors factor have various heterogeneity, we applied hedonic price models instead of stated-preference methods with various types of functional forms through Box-Cox transformation, considering the heterogeneity of each region. Estimates show that the marginal value (implicit price) for the distance from the odor source was 0.227 to 0.533 depending on the function type of the estimated model. In addition, when other house factors are the same, the marginal willingness to pay for a distance of 1km from the odor source was calculated to be 16.79 to 51.76 thousand dollar depending on the type of function. Finally for the general Box-Cox model, the annual WTP was estimated to be 3,229dollar.

Estimating the Determinants for Rate of Arrearage in Domestic Bank: A Panel Data Model Approach (패널 데이터모형을 적용한 국내일반은행 연체율 결정요인 추정에 관한 연구)

  • Kim, Hee-Cheu;Park, Hyoung-Keun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.1
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    • pp.272-277
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    • 2010
  • In respect complication of group, rate of arrearage in domestic bank is composed of various factors. This paper studies focus on estimating the determinants of the rate of arrearage in domestic bank using panel data model. The volume of analysis consist of 3 groups(loaned patterns of enterprise, housekeeping, credit card). Analyzing period be formed over a 54 point(2005. 1~ 2009. 06). In this paper dependent variable setting up rate of arrearage in domestic bank, explanatory(independent) variables composed of the consumer price index, composite stock price index, rate of exchange, the coincident composite index, national housing bonds and employment rate. The result of estimating the rate of arrearage in domestic bank provides empirical evidences of significance positive relationships between the consumer price index However this study provides empirical evidences of significance negative relationships between the coincident composite index and the composite stock price index. The explanatory variables, that is, rate of exchange, national housing bonds and the employment rate are non-significance variables of negative factor. Implication of these findings are discussed for content research and practices.

Study on the Causality and Lead-lag relationship between Size of House sub market and the Consumer Sentiment Survey (아파트 규모별 하위시장과 소비심리지수의 선행성 및 인과성에 관한 연구)

  • Kim, Gu-Hoi;Kim, Ki-Hong;Lee, Joo-Hyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.4
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    • pp.682-691
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    • 2016
  • The purpose of this study is to explore the causal and precedence relationships between the housing sub-market and the results of a consumer sentiment survey about the housing market. This study investigates the relationships between the survey results and an apartment deal price index by size and bidding price rate in apartment auctions by extending research related to consumer sentiment surveys. We surveyed the Seoul Metropolitan Area and analyzed the results using a unit root test, cointegration test, Granger causality test, and cross-correlation test. It was confirmed that causality exists between the survey results and apartment deal price index by size and bidding price rate, and it was also confirmed that there are correlation and precedence relationships between them.

A Study on the Global Co-movement & Spillover Effect of Housing Price (주택가격의 글로벌 동조화와 파급경로에 관한 연구)

  • Chang, Young Gil
    • Korea Real Estate Review
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    • v.24 no.1
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    • pp.39-52
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    • 2014
  • This study examines the degree of global co-movement & spillover effect among the housing price of ten major countries of OECD including Korea, based on the 3 hypothesis. The data used in this study is quarterly house price index of OECD countries from 1975 to 2012. VAR model is used to analyze the co-movement, and Granger causality methodology is used for the analysis of Spillover Effect. It is found that entire period of study is that the global house prices showed the co-movement, but the coefficient was weak. Since 2008 global financial crisis, the co-movement increased significantly and the adjusted R-square of this model increased 78% compared to the entire period (1975-2012). In general, all hypotheses in this study were significant, and the common shock hypothesis were most significant. In case of Korea, the degree of co-movement was weak compared to the other countries and spillover effect was independent since 2008.

Prediction of Housing Price Index Using Artificial Neural Network (인공신경망을 이용한 주택가격지수 예측)

  • Lee, Jiyoung;Ryu, Jae Pil
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.4
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    • pp.228-234
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    • 2021
  • Real estate market participants need to have a sense of predicting real estate prices in decision-making. Commonly used methodologies, such as regression analysis, ARIMA, and VAR, have limitations in predicting the value of an asset, which fluctuates due to unknown variables. Therefore, to mitigate the limitations, an artificial neural was is used to predict the price trend of apartments in Seoul, the hottest real estate market in South Korea. For artificial neural network learning, the learning model is designed with 12 variables, which are divided into macro and micro factors. The study was conducted in three ways: (Ed note: What is the difference between case 1 and 2? Is case 1 micro factors?)CASE1 with macro factors, CASE2 with macro factors, and CASE3 with the combination of both factors. As a result, CASE1 and CASE2 show 87.5% predictive accuracy during the two-year experiment, and CASE3 shows 95.8%. This study defines various factors affecting apartment prices in macro and microscopic terms. The study also proposes an artificial network technique in predicting the price trend of apartments and analyzes its effectiveness. Therefore, it is expected that the recently developed learning technique can be applied to the real estate industry, enabling more efficient decision-making by market participants.

The Effect of Macroeconomic and Real Estate Policies on Seoul's Apartment Prices (거시경제와 부동산정책이 서울 아파트가격에 미치는 영향 연구)

  • Bae, Jong-Chan;Chung, Jae-Ho
    • Land and Housing Review
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    • v.12 no.4
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    • pp.41-59
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    • 2021
  • This study reviews theoretical considerations and past studies about real estate prices, macroeconomic variables, and real estate policies. Monthly data from January 2003 to June 2021 are used, and a VEC model, the most widely used multivariate time series analysis method, is employed for analysis. Through the model, the effects of macroeconomic variables and real estate regulatory policies on real estate prices in Seoul are analyzed. Findings are summarized as follows. First, macroeconomic variables such as money supply and interest rates do not have a significant impact on Seoul's apartment prices. Due to the high demand for housing and insufficient supply, there is a demand for buying a home regardless of macroeconomic booms or recessions. Second, tax and financial regulatory policies have an initial impact on the rise in apartment prices in Seoul, and their influence diminishes over time. Third, anti-speculation zones are expected to decrease apartment prices through the suppression of demand. However, these zones cause a rise in apartment prices. This could be understood as a lock-in effect due to the strengthening of capital gains tax. Fourth, the price ceiling did not decrease apartment prices. These findings propose that, in Seoul, where demand is high and supply is insufficient, the supply of high-quality and sufficient housing should be prioritized over various regulations such as tax regulations, financial regulations, anti-speculation zones, and price caps. Moreover, the findings provide an implication that city-specific real estate policies should be implemented for Seoul rather than regulation-oriented approaches in public policy.

A Study on the Time-Sectional Analysis of Apartment Housing related research in Korea (국내 아파트 관련 연구의 연구주제 시계열 분석)

  • Kim, Tae-Sok;Park, Jong-Mo;Park, Eu-Gene;Han, Dong-Suk
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.34 no.3
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    • pp.45-52
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    • 2018
  • Currently, apartments have become an important research subject for the overall area of politics, economics, and culture as well as urban architectural study. However, there are few analyses of the research trends related to the current interest in the apartment research and prediction of the future changes of an apartment in politics and industry. In this study, the research information related to the apartment has classified, and the changes in the research trends have analyzed. Based on the classified data, the first thesis and dissertation related to the apartment and changes of academic notation have discovered. In addition, future interests and future research directions through Frequency of Appearance, Degree Centrality Analysis, and Betweenness Centrality Analysis of author keywords were predicted. As a result of the analysis, 'Space,' 'Residential Mobility' and 'Apartment Complex' studies were found to be important research topics throughout the entire period. 'Han Gang Apartment,' 'Small Size Apartment,' 'Civic Apartments,' 'Jamsil,' and 'Child' were newly interested topics until 70's era. '(Super) High-rise Apartment,' 'Perception,' 'Jugong Apartment,' 'Housing Environment,' 'Housewife,' 'Apartment Layout,' and 'Busan' were newly interested topics during the 80's and 90's era. 'Apartment Price,' 'Energy,' 'Remodeling,' 'Noise,' 'Resident Satisfaction,' 'Community,' and 'Apartment Lotting-out' were newly interested topics after the year 2000. New concerns for last decade are found to be 'Super High-rise Apartment', 'Remodeling', 'Indoor'(2007), 'Apartment Reconstruction Project', 'Brand', 'AHP', 'Housing Environment'(2008), 'Ventilation'(2009), 'Apartment Lotting-out'(2010), 'Economic Assessment'(2011), 'Cost'(2012), 'Green Building', 'Apartment Sales', 'Law', 'Society'(2013), 'Floor Impact Noise', 'Seoul'(2014), 'Noise'(2015), 'Hedonic Model'(2016). In addition, following research topics are expected to be active in the future: In maturity stage of the research development is going to be 'Apartment Price', 'Space', 'Management of Apartment Housing'; the hedonic model, which is research growth and development stage, is going to be '(Floor Impact) Noise', 'Community', 'Energy.