• Culinary science and hospitality research
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• v.9 no.2
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• pp.33-43
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• 2003

This study was carried out to examine the status of eating out and flour preference of some houses in Yosu, Chonnam area. The survey was conducted using a questionnaire in Yosu. The results are as follows. The majority of monthly income of household was 1∼2 million won with 50.1%. The highest family composition was couple and children with 75.6% and the highest number of family member was 3∼4 with 57%. The highest type of housing was an apartment with 67.1% while its ownership was, the highest in self-own with 69.9%. The highest frequency to dine out with a family was once a month and the lower age and higher education background was, the higher frequency to dine out was resulted. The menu was mainly the Korean food. The highest rate of flour-based meals was 2 or 3 times a week. The most popular kind was Ramen.

• Journal of Agricultural Extension & Community Development
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• v.19 no.4
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• pp.989-1020
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• 2012

The purpose of this study is to look into current situation and perception of empty homes owners' managing and using rural empty houses. This topic is important because basic data has to be broadly accumulated to facilitate using empty houses as an idle resources in rural areas. Besides, the demand of urban migrants' using empty houses as an economic house or temporary house keeps increasing. We called 2012 respondents who had empty houses in Wanju County. The questionnaire consisted of current situation of empty homes owners' managing and using empty house, plan of using empty house, perception of using empty house and demographic factors of respondents. As a result, we identified each characteristics of the owner of empty house, the empty house, and the place where the empty house was located. Futhermore, by analysing the behavior and perception of the owner of empty house by those characteristics, we suggested the direction of government's support for facilitating reusing rural empty houses.

• Journal of the Korea Society of Computer and Information
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• v.25 no.8
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• pp.119-128
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• 2020

In this research, a survey was done on two hundred and forty-six elders who receive care through LTC to verify the effect of market attributes on the user satisfaction of the Long-therm Care Service. The collected data were analyzed through SPSS 23.0 statistics program. This study reveals the following results: First, in service tangibility, competitiveness, administrative regulation, organizational process, and autonomy in choice all have a positive relation with user satisfaction. Second, in the aspect of credibility, house ownership, competitiveness, administrative regulation, and freedom in choice show a positive-relation with user satisfaction. Third, in responsiveness, the scale of the organization, monthly income, competitiveness, administrative regulation, organizational process, and autonomy in choice have a positive effect on user satisfaction. Forth, in assurance ability, monthly income, competitiveness, administrative regulation, organizational process, and autonomy in choice also positively affected user satisfaction. Lastly, in the aspect of perceptual openness, competitiveness, administrative regulation, organizational culture, organizational process, and autonomy in choice show a positive relationship with user satisfaction.

• Journal of Industrial Convergence
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• v.18 no.2
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• pp.1-7
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• 2020

This study was conducted to identify factors that affect subjective health in middle-aged with hypertension. Hypertension, a representative chronic disease, is a disease of increasing prevalence from middle age. To effectively manage hypertension from middle age, it is necessary to revise lifestyle based on subjective health awareness. The subjects of this study were 2,254 middle-age with hypertension who were 30-64 years of age among the 2014-17 national health and nutrition survey. Study variables consisted of general, physical, and psychological factors. For data analysis, compound statistics were made using SPSS 25.0 program and then complex statistics. The results of this study showed that the factors that significantly influenced the subjective health of the subjects were sex, age, economic level, number of households, home ownership, stress, quality of life, and their explanatory power was 20.4% (F = 12.58, p<.001). The results of this study can be used as a basis for the intervention to improve the subjective health of middle-aged with hypertension. Appropriate lifestyle modifications are needed to effectively manage hypertension based on good subjective health awareness.

• Korea journal of population studies
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• v.29 no.3
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• pp.159-188
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• 2006

This study attempts to create a longitudinal dataset by linking tdata on the identical individuals across the monthly sample household management lists of the Economically Active Population Survey(EAPS) and the Household Income and Expenditure Survey(HIES). Using the data constructed through such process, the study also tryies to analyze the duration of longitudinal responses and the characteristics of nonrespondents. Between 1998 and 2002, longitudinal response rates had declined to 46% of total EAPS and 34% of total HIES. The fact that nonresponse was not a random phenomenon leads to concerns about the representativeness of the remaining sample. Using Cox's proportional hazard model the study revealed that the duration of longitudinal responses is affected by the ownership of house and the age of the respondent.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1109-1113
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• 2010

창원시는 경제성장에 따른 도시화 현상으로 경작지나 녹지와 같은 투수지표면이 대단위 주택단지나 도로, 상업지구, 공장시설과 같은 불투수지표면으로 변화되어 전형적인 도시 유역특성을 띠고 있어 SWMM 모형의 적용에 적합하다. 적용대상인 남천은 창원시를 관류하는 유로연장 14.7 km의 하천으로 지류인 창원천을 포함하고 있으며, 2007년부터 환경부 지원 시범사업으로 생태하천복원사업이 계획되어 실시설계 완료 후 공사가 진행 중이나, 복원 후 하천관리를 위한 유지유량 산정 등의 타당성과 관련한 문제가 지역사회에서의 화두로 대두되고 있다. 따라서 본 연구에서는 남천 유역의 특성을 적절히 고려한 유지유량 산정을 통해 향후 복원된 남천의 하천관리기준을 제시하고자 하였다. 본 연구에서는 2008년 실측된 남천과 창원천의 유량자료와 SWMM 유출량 모의결과를 비교, 분석하였다. 남천의 유량자료는 2008년 5월 6일부터 8월 20일까지 실측하였으며, 남천의 지류인 창원천은 유량자료 취득구간이었던 창원천교 지점에서 생태하천복원사업이 진행됨에 따라 유량자료를 취득할 수 없었으므로 남천의 유량자료를 이용하여 비유량법으로 추정하였다. 유출량 산정을 위한 강우자료는 기상청 자료를 사용하는 것이 일반적이나 마산과 창원의 강우자료를 이용한 분석 결과 강우 패턴에 차이가 있음을 발견하고 마산기상대의 자료 대신, 창원시에서 제공한 5년간 (2005년~2009년)의 자료를 사용하였다. SWAT을 이용하여 남천 유역을 39개의 소유역으로 분할하고 Arc View를 이용하여 지형인자들을 추출하여 SWMM 입력자료로 사용하였다. 입력자료 중 유출량 추정에 큰 영향을 끼치는 매개변수들은 민감도 분석을 통하여 최적의 매개변수들을 결정하고 연유출량 추정을 위한 모의를 수행하였다. 이상의 과정을 통하여 남천의 연유출량을 추정함으로써 하천관리를 위한 유지유량 산정의 기초로 활용할 수 있었다.

• Journal of the Korean Association of Geographic Information Studies
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• v.5 no.1
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• pp.1-19
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• 2002

Estimation and indication for spatial distribution of living quality and poor condition associated with land and house's access as a basic human need has been imperative questions and predicaments while it is required to boost digital economic development and consolidate social maturity. Although modern IT and sophisticated GIS/LIS technologies are used to examine spatial analysis of population location-patterns, land uses and development, and environmental degradation, etc, it still might remain immature step to figure out the causations and results of poverty in space and time. In this research, a new approach to poverty management is explicated by using 6 parameters as a major tool for assisting poverty monitoring concerning the poor who are very unpredictable in space and could be regarded as renegades in the Internet age. In addition, it expounds a new approach and conceptual idea for poverty management to notify spatial location of the digital divide when poverty reduction is closely concerned with sustainable goal of land information.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.48-48
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• 2017

도시지역에서는 이상강우, 돌발홍수와 더불어 급속한 도시화에 따라 침수 발생의 위험성이 증가하고 있다. 지자체에서는 빗물펌프장, 지하저류조 등을 이용하여 적극적으로 침수대책을 강구하고 있지만, 저지대 침수피해는 계속적으로 발생하고 있다. 2013년 7월 서울 경기북부 강원영서에 발생한 집중호우로 1명이 사망하고 피해액은 94,036백만원이 발생하였다. 춘천시 효자동 저지대지역의 주택침수는 인근 하천의 수위가 높아져 내수배제 및 하수도 처리 능력이 부족하여 침수가 발생하였다. 2014년 8월 경남지역에 발생한 집중호우로 2명 사망하였고, 피해액은 134,158백만원에 이르렀으며, 도시화 토지피복변화로 인한 홍수량이 증가하여 피해가 가중되었다. 이에 따라 도시 내 정확한 도시유출 및 침수해석을 통하여 과거 침수양상을 재현하고 앞으로 발생할 수 있는 침수피해를 방지할 수 있도록 침수 예 경보 시스템을 개발하여 도시침수에 대비하고 도시주민들의 인명과 재산피해를 경감하는데 그 목적이 있다. 이를 위해 도시지역의 관망해석에 적합한 모형을 선택하여야 하며, 그 모형의 매개변수를 결정하여야 한다. 도시유출해석 및 관망해석을 위하여 SWMM 모형을 선정해서 유역분할조건, 매개변수에 대한 최적 검정과정을 제시하여, 1D-2D 연계모형을 통해서 침수지역예측의 정확도를 증대시키고자 한다. 본 연구에서는 서울시 강남역 주변 일대의 5개 배수분구을 대상으로 도시유출해석을 위한 최적화 모의를 위하여 1D-2D모형의 연계해석하였다. 실제 강우사상을 적용하여 매개변수와 소유역 개수를 달리하여 자동최적화기법인 PEST를 이용하여 최적인자를 도출하여, 실제 배수맨홀의 수위관측 자료를 이용하여 비교 보정을 하였다. 도시유출해석뿐만 아니라 내수침수시의 최적인자 도출을 위해 2차원 범람해석을 통하여 NDMS 자료를 이용하여 비교 보정을 한 뒤 다른 강우사상을 이용하여 검증을 하여 도시침수 해석의 정확도를 개선을 위한 최적인자들을 검토하였다.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.341-352
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• 2018

The purpose of this study was identify the factor affecting depression in eco boomer. This study used the data from the $7^{th}$ Korea National Health and Nutrition Examinations Survey and identified factor affecting depression in adult aged 24 to 37. Data was analyzed using the IBM SPSS 25.0 program. As a result, there were significant differences according to sex, education level, house ownership, health insurance, economic activity status, status of workers, position of servant, working time system, employment condition, perceived health status, smoking, work related physical activity, suicidal plan, suicidal attempt, stress, frequency of meal, companion for meal. As a result of regression analysis, influencing factors of depression in eco boomer were sex, employment condition, perceived health status, smoking, stress, work related physical activity, suicidal plan, companion for dinner. According to the results of this study, depression of the echo boomer should be improved by considering sex, work related characteristics and life style of eco boomer.

• Journal of Distribution Science
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• v.10 no.5
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• pp.37-44
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• 2012

In this paper, we investigate several factors that affect the locational decision of discount stores by using previous studies on the marketing area and the location of commercial facilities. We selected 21 primary variables that are expected to influence the decision of store location and, by factor analysis, grouped them into five underlying factors. Among these, the demographic factor, which shows the potential purchasing power level, had the greatest impact on the locational decision for the store. However, we found individual stores positioned according to unique locational characteristics in addition to the demographic factor. It means that we have to additionally consider if the vicinity of the market is based on any physical properties. Many previous studies proposed four decision factors for store location: the economic factor, the demographic factor, the land utilization factor, and traffic factor. However, the fivefold factors-our distinctive contribution-are more concrete and persuasive according to Korean reality. We show that location preference is based on the following criteria: (1) the area is densely populated, (2) houses stand close together, (3) residents have a high income level, (4) road traffic is developed and easy to access, and (5) public transportation is well developed. The demographic factor has the greatest impact on the location of a discount store. The number of households has a greater relevance to the demographic factor than does the individual consumer. Second, discount stores relatively prefer places where houses are located close together because such places offer easy access to the market. Third, a place whose residents have a high income level will be preferred, with its large cars and excellent traffic conditions. Fourth, a location would be highly rated if the roads around commercial facilities are well developed and their accessibility is good. Finally, discount stores must be located close to bus stops because female consumers, including housewives-the most important customers-evaluate stores based on distance. In this research, the variable of consumer attitude and preference was excluded, and the location factors of discount stores were analyzed according to a microscopic view through physical spatial data. In the future, the opening of new discount stores based on the five factors indicated above will require a comparatively shorter time from the first project feasibility analysis. In addition, the result of our study can be applied to the field of public policy for constructing and attracting large-scale distribution facilities.