• Proceedings of the KSFDT Conference
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• 2002.04a
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• pp.43-46
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• 2002

• Journal of the Korean Regional Science Association
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• v.31 no.3
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• pp.19-37
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• 2015

The purpose of this study is to confirm a structural relationship on factors affecting ratio of public transportation spending to a car-owning household's total transportation expenditure. For this purpose, informations of household's attributes and activities were gathered using the 13th Korean Labor and Income Panel Study (KLIPS), and information of land-use and transportation conditions on their residential locations was collected and processed. A structural equation model (SEM) on determinants affecting ratio of public transportation expenditure was constructed, based on an execution result of factor analysis using the analyzing database. The latent variables were derived as land-use/transportation characteristic, household's attribute and household's activity. In the analyzing result of the SEM, the entire latent variables were significant. And, the first two latent variables had positive influences, and the last latent variable had a negative impact. To promote public transportation use of the car-owning households, this study suggests that the policies such as enhancement of convenience in public transportation use for the household's activities and improvement of the land-use/transport conditions are required.

• Archives of design research
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• no.18
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• pp.99-110
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• 1996

For the purpose of sped fying the character of Italian furniture industry, it's very important to analyse environmental aspects, in other word s, infrastructure of the furniture industry. These conditions that regional si tuation and circumstances, small and medium size of company depending upon the fami Iy oriented craftsman ship, roles of producers who are very keen on technical innovation and improvement, distribu tion structure and production status etc, are important factors to understand environmental characters of the furniture industry. Moreover, existence of various design languges according to design activities by architects un der that industrial structure is also regarded as the characters of that furniture industry. Through understanding the characters of Italian furniture industry and the drivig force of the growth, I would I ike to propose a role model for our domestic furniture industry.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.2
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• pp.173-188
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• 2017

This paper aims to analyze the effects of the residential area and personal characteristics of households on the preference of residential location factors. The main results of this study are as follows. Firstly, considering the results of multiple regression analysis, it can be seen that preference of location factors is differentiated according to the residential area and personal characteristics of households by individual location factors. Secondly, considering the results of binomial logistic regression analysis, it can be also elucidated that the preferred location factors are differentiated according to the residential area and personal characteristics of the households. Therefore, it is judged that the residential area and personal characteristics of household and the location factors of the household are mutually influencing each other.

• Archives of design research
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• v.15 no.4
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• pp.129-138
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• 2002

Against the projection that the volume of filing would be drastically cut in the Information Age, the needs for filing in this age increases gradually. In this respect, it is critical to study the design of office filing system furniture. Through this study, we could find out what shall be the major requirements for office lijillg system furniture. This study would also provide important raw data for developing more efficient and more satisfactory office filing system furniture. Subject for this study includes 6 representative filing system furniture including a lateral file cabinet. For the design analysis, we used catalogues of foreign and domestic office furniture, particularly filing system furniture. The analysis is classified into the following six categories such as size, shape, color, material, handle, and filing method, mobility, flexibility, and so on. According to the analysis of office furniture in the market, requirements of furniture fit for office environment are found to be as follows. -Instead of the fixed-type furniture, movable furniture is more adaptable to the ever-evolving office environment. -Design the office furniture in accordance with a standardized module would provide a more unity and diversity of arrangement in space particularly when it is arranged with other furniture. -Development of more diverse color, which ranges from achromatic color to wooden color to other various colors, is more favored in the ever-changing office environment. -As the grip provides a variety of image to the furniture let alone its function, its development is required to be more diverse and more conforming 10 the design of Ihe furniture. -The filing methods in general are with drawer and shelf, among which the drawers design is usually fixed. However, under the evolving office furniture environment, the design of Ihe drawer, bolh inlerior and exterior, shall be more diverse and flexible.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2503-2508
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• 2013

Single-person households in the Seoul Metropolitan Area have increased sharply during recent 20-30 years. Despite of decreasing in the total population, the number of single-person household is predicted to increase continuously. However, the effect of single-person household growth on the domestic transport sector has not been studied concretely. In this study, the differences on trip generation characteristics by household size and attributes were figured out by analyzing Seoul Metropolitan Area Household Travel Behavior Survey (SMA-HTBS). Firstly, trip generation rates (trips/day/person) were produced by household attribute, household member attribute and trip attribute based on SMA-HTBS. Secondly, trip generation rate of single-person household and that of multi-person (2 or more) household were compared by significance test. It was found that trips generation characteristics of single-person household is quite different from those of multi-person household by housing type, residential type, living area, and transport mode. The result of this paper is expected to contribute developing more sophisticated trip generation model and transport policy reflecting trip generation characteristics of single-person household.

• Journal of the Korean Regional Science Association
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• v.35 no.1
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• pp.59-72
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• 2019

This study focused on low fertility and population decline which threaten national competitiveness. Therefore, a comprehensive analysis was attempted on the impact of housing characteristics and residential area characteristics of newlyweds on their birth plan. To this end, the hierarchical linear model(HLM) was implemented using '2016 Korea Newlyweds' Housing Survey' data. The main findings of this study are as follows. First, the birth plan of newlyweds is affected not only by housing characteristics, but also residential area characteristics such as the average housing price, average private education expenses and the number of local child centers. Second, the use of housing loans and the housing tenure have an interaction effect with the average housing price and the number of local child centers among the residential area characteristics. In other words, the use of housing loans has a negative effect on the birth plan if the housing price is high in the area, and being renter household has a positive effect on the birth plan if the number of local child centers is high in the area. These findings suggest that governmental effort to raise the birthrate of newlyweds should take into account their housing characteristics as wells as residential area characteristics.

• Korean Journal of Social Welfare
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• v.68 no.3
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• pp.29-50
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• 2016

This study examined the determinants of housing affordability using the 2014 fact-finding survey of housing. This study identified the effects of characters of districts as well as the effects of characters of family and housing, taking advantage of HGLM(Hierarchical General Linear Model). The results of this study showed that male householder, higher education level, the monthly housing, higher satisfaction of environment of housing are the factors that increased the odds of living at unaffordable housing, but higher income, public transfer recipient, living at sub-standard housing, the Jensei housing are the factors that decreased the odds of living at unaffordable housing. And the higher housing price, the higher rent of the districts increased significantly the odds of living at unaffordable housing, but the higher rate of public housing of the districts decreased the odds of living at unaffordable housing. This study provides the basis that the price of housing and rent should be controled and the policy of public housing should be expanded for housing welfare.

• 한국사회정책
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• v.24 no.4
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• pp.31-62
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• 2017

This study intends to identify the difference of socio-economic characters and housing welfare needs between housing poverty types and to know the independent effects of variables on the housing poverty types. It was revealed that the double housing poverty household, housing below facility standard, unaffordable housing with low income, housing below structure performance environment standard, housing below area standard and housing below room standard should be supported one by one. And the variables related with the housing poverty types are different Suggestions were made for housing welfare policy for the double housing poverty, the control for rental housing market, the policy considering income level for unaffordable housing, the housing policy for the disable household.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.5D
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• pp.657-662
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• 2011

The relationship between household attributes and trip generation can only be found in Seoul Metropolitan Household Travel Survey, which has been implemented every 5 years. However, various household attributes' impact on trip generation has not been analyzed closely. This paper compared and analyzed those impact. The results could be useful when trip generation models are studied in the future. They are as follows. The household size should be an important classification criteria when household trip generation is estimated. The traditional assumption that the relationship between household auto ownership and trip generation is positive and linear correlation should be reconsidered. Weekday travel data only did not showed that housing type has an influence on trip generation. Household income is unrelated with trip generation among single-person household, while multi-person household is related strongly. However, when trips are classified by purpose, impact of household income on trip generation are varied by trip purpose. Especially, the increase in single-person household can not be overlooked when trip generation is forecasted.