• 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.

• Journal of the Korean Wood Science and Technology
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• v.41 no.1
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• pp.77-86
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• 2013

This research was carried out to evaluate and raise the energy efficiency of wood frame house. The commercial solution program CE3 (Construction Energy Efficiency Evaluation) was used for simulating the energy consumption in the single-family wood frame house. The results showed that the annual heating energy demand of the house was 160 kWh per 1 $m^2$ floor area. In order to decrease the heating energy demand, the following energy efficiency methods were applied to the simulation : a) simplification of building shape, b) decrease of windows area, c) application of high performance windows (with low thermal transmittance) and d) application of heat recovery ventilator. In case of replacement of the windows with high performance one with thermal transmittance 1 $W/m^2{\cdot}K$, the lowest heating demand of 80 $kWh/m^2{\cdot}a$ was obtained. The best combination of methods, application of high performance windows and heat recovery ventilator, showed heating energy demand 34.5 $kWh/m^2{\cdot}a$.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.44-53
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• 2023

Recently, serious parking problems are occurring due to the difficulty of securing sufficient parking space, and it may lead to other traffic or social problems. In order to solve the parking problem in areas and districts beyond a certain range, a study on-roads and off-street parking lots reflecting regional characteristics is necessary. Therefore, this study establishing a parking demand calculation model for use as a basic study in establishing on-road and off-road characteristics. In order to conduct the study, Dong-fu, Daegu Metropolitan City was divided into dongs, and parking facilities and parking demand were investigated. The survey time was divided into daytime and nighttime on weekdays, and the types of vehicles were divided into three types: passenger car, small trucks and buses, large trucks and buses. As explanatory variables for calculating parking demand, the total floor area of buildings for each of six purposes was used, including detached houses, apartment houses, neighborhood living facilities, cultural and assembly facilities, business facilities, and sales facilities. As a result of the correlation analysis, among the six explanatory variables, the total area of neighborhood living facilities showed a significant correlation with on- and off-street parking demand. A regression analysis model was constructed using the total area of neighborhood living facilities as an explanatory variable, and statistically significant results were obtained.

• Spatial Information Research
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• v.23 no.3
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• pp.11-21
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• 2015

While the number of total population in Seoul has been on the constant decline for the last few years, the number of household has increased due to the rising tendency of the smaller households. In 2010, the small households in the metropolitan areas accounted for 44% of the entire households, and Statistics Korea has reported that one person household, which will take up more than 30% of the whole household, will have been the most common type of household by 2020. This reason of rise will be differently shown according to age like the preferred housing type or surrounding environments, this research is suggest to research hypothesis that distinction of age leads to the spatial distribution of one person household. Therefore, this research is to exercise a multiple regression analysis targeting on the facilities, which become the spatial distribution factor of one person household, with the independent variable gained from the concluded area calculated with the area ratio of the spatial unit followed by the service area analysis based on network. The spatial unit is the census output of Seoul, and based on this the interaction between the number of one person household according to age and the factors of its distribution. Also, the spatial regions - downtown, northeast, southeast, northwest, southwest - are designed as dummy variables and the results of each region are found out. As a result, the spatial regions occupied according to age are found to be varied - people in their 20s prefer housings near the college, 30s lease or the monthly rental housings, 40s the monthly rental housings, and over 60s the housing with the floor area of less than $40m^2$. Likewise, one person household has different types of housing environments preferred according to age, and thus a housing policy concerning this will have to be suggested.

• 한국방재학회:학술대회논문집
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• 2010.02a
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• pp.114.1-114.1
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• 2010

본 연구에서는 우리나라에 적합한 재해예측모형을 구축하기 위하여 중해상도(10km)의 입력 자료를 이용하여 태풍에 의해 지상에 발생 가능한 3-second gust를 추정하였다. 중해상도 입력자료의 구축은 경상남도(부산광역시 포함) 시 군 구 단위의 행정구역으로 구분하였으며, 추정된 3-second gust를 이용하여 건물의 주요구성 요소별로 피해 확률을 구한 뒤, 발생 가능한 최대피해액을 산정하였다. 태풍 Maemi에 의한 최대강풍 피해액은 여러 주택유형 중에서도 '대표주택' 유형의 경우 약 6천억 원으로 분석되었다. 비교적 내륙에 위치한 지역에서는 적은 피해액을, 해안가에 위치한 지역에서는 많은 피해액을 나타내며, 부산광역시에서 피해액이 높은 구 군의 경우 경상남도 시 군의 평균적인 피해액과 비슷한 것으로 보아 부산이 경상남도와 비교하여 면적으로는 작지만 태풍에 의한 강풍에 매우 취약함을 알 수 있다.

• Journal of the Korean Regional Science Association
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• v.37 no.3
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• pp.19-36
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• 2021

This study examined the determinants of change in residential size according to the patterns of residential mobility in the Seoul Metropolitan Area. Particularly, this study examined the upward and downward in residential size, which is emerging as an important factor in the era of increasing non-face-to-face environment. For the empirical analysis, I used 「2018 Korea Housing Survey」 and employed binary logistic regression model. The empirical analysis shows the change of residential size is statistically significant depending on the direction of geographic. In addition, there are differences in the determinants of change in residential size. When people move within Seoul, housing factors, accessibility, age of residents, and the number of household members can be the determinants. When people move from Seoul to Gyeonggi or Incheon, housing factors, safety, gender, and the number of household members work as determinants. On the other hand, when moving from Gyeonggi or Incheon to Seoul, whether it is studio or not, housing type, accessibility, the number of household members, and the disability of homeownership are the determinants. When moving within Gyeonggi or Incheon, housing factors, Accessibility to green areas, safety, age of resident, income, and the number of household members, are the determinants.

• New & Renewable Energy
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• v.4 no.2
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• pp.45-51
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• 2008

The fuel cell system is environment-friendly and energy efficient system. Especially, the fuel cell cogeneration systems providing heat and electricity to buildings have been developed and applied to a lot of sites in the world to cope with the global warming and $CO_2$ emission problem. This paper presents the result of study on the economic evaluation with super-micro fuel cell (SMFC) cogeneration system by varying the floor area ($132m^2{\sim}331m^2$) of the house, whose system capacity ranges from 0.10 kWe to 0.50 kWe. The electricity demand, heat demand, saved energy cost, and the simple pay-back period have been simulated for the various capacities of fuel cell cogeneration system. As a result, this study suggests the fuel cell system’s capacity decision strategy for a given house area. Contrary to conventional design assumptions, the smaller capacity fuel cell cogeneration system is appropriate for the house of large floor area to defense the progressive electricity tax, and the larger capacity fuel cell cogeneration system is appropriate for the house of small floor area to sell the electricity.

• 한국신재생에너지학회:학술대회논문집
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• 2008.05a
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• pp.25-28
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• 2008

The fuel cell system is environment-friendly and energy efficient system. Especially, the fuel cell cogeneration systems providing heat and electricity to buildings have been developed and applied to a lot of sites in the world to cope with the global warming and $CO_2$ emission problem. This paper presents the result of study on the economic evaluation with super-micro fuel cell (SMFC) cogeneration system by varying the floor area ($132m^2{\sim}331m^2$) of the house, whose system capacity ranges from 0.10 kWe to 0.50 kWe. The electricity demand, heat demand, saved energy cost, and the simple pay-back period have been simulated for the various capacities of fuel cell cogeneration system. As a result, this study suggests the fuel cell system's capacity decision strategy for a given house area. Contrary to conventional design assumptions, the smaller capacity fuel cell cogeneration system is appropriate for the house of large floor area to defense the progressive electricity tax, and the larger capacity fuel cell cogeneration system is appropriate for the house of small floor area to sell the electricity.

• Solar Energy
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• v.11 no.2
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• pp.3-8
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• 1991

This paper reports the application of the PSTAR(Primary and Secondary Terms Analysis and Henormalization) method to a thermally massive passive solar house located in Daejeon, Korea. The house has approximately $156m^2$ of living area with 3 bedrooms and a living room, which embodies many passive solar features for energy conservation. The primary concern of this work was to properly evaluate the thermal behavior of a thermally massive building structure using the PSTAR method. Results show close agreements between the measured and renormalized values in most cases in which the simulation results from the audit description of the house deviate somewhat considerably.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.173-183
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• 2017

We investigate the factors affecting the price of apartments using the spatial and temporal data of private real estate prices. The factors affecting the price of apartment were analyzed using geographical and temporal weighted regression (GTWR) model which incorporates the temporal and spatial variation. In contrast to the OLS, a general approach used in previous studies, and GWR method which is most widely used for analyzing spatial data, GTWR considers both temporal and spatial characteristics of the house price, and leads to better description of the house price determination. Year of construction and floor area are selected as the significant factors from the analysis, and the house price are affected by them temporally and geographically.