• Title/Summary/Keyword: Residential Consumption

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Dietary intake of fats and fatty acids in the Korean population: Korea National Health and Nutrition Examination Survey, 2013

  • Baek, Yeji;Hwang, Ji-Yun;Kim, Kirang;Moon, Hyun-Kyung;Kweon, Sanghui;Yang, Jieun;Oh, Kyungwon;Shim, Jae Eun
    • Nutrition Research and Practice
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    • v.9 no.6
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    • pp.650-657
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    • 2015
  • BACKGROUND/OBJECTIVES: The aim of this study was to estimate average total fat and fatty acid intakes as well as identify major food sources using data from the Korea National Health and Nutrition Examination Survey (KNHANES) VI-1 (2013). SUBJECTS/METHODS: Total fat and fatty acid intakes were estimated using 24-hour dietary recall data on 7,048 participants aged ${\geq}3years$ from the KNHANES VI-1 (2013). Data included total fat, saturated fatty acid (SFA), monounsaturated fatty acid (MUFA), polyunsaturated fatty acid (PUFA), n-3 fatty acid (n-3 FA), and n-6 fatty acid (n-6 FA) levels. Population means and standard errors of the mean were weighted in order to produce national estimates and separated based on sex, age, income, as well as residential region. Major food sources of fat, SFA, MUFA, PUFA, n-3 FA, and n-6 FA were identified based on mean consumption amounts of fat and fatty acids in each food. RESULTS: The mean intake of total fat was 48.0 g while mean intakes of SFA, MUFA, PUFA, n-3 FA, and n-6 FA were 14.4 g, 15.3 g, 11.6 g, 1.6 g, and 10.1 g, respectively. Intakes of MUFA and SFA were each higher than that of PUFA in all age groups. Pork was the major source of total fat, SFA, and MUFA, and soybean oil was the major source of PUFA. Milk and pork were major sources of SFA in subjects aged 3-11 years and ${\geq}12years$, respectively. Perilla seed oil and soybean oil were main sources of n-3 FA in subjects aged ${\geq}50years$ and aged < 50 years, respectively. CONCLUSIONS: Estimation of mean fatty acid intakes of this study using nationally represented samples of the Korean population could be useful for developing and evaluating national nutritional policies.

A Study on the Prediction Model of the Elderly Depression

  • SEO, Beom-Seok;SUH, Eung-Kyo;KIM, Tae-Hyeong
    • The Journal of Industrial Distribution & Business
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    • v.11 no.7
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    • pp.29-40
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    • 2020
  • Purpose: In modern society, many urban problems are occurring, such as aging, hollowing out old city centers and polarization within cities. In this study, we intend to apply big data and machine learning methodologies to predict depression symptoms in the elderly population early on, thus contributing to solving the problem of elderly depression. Research design, data and methodology: Machine learning techniques used random forest and analyzed the correlation between CES-D10 and other variables, which are widely used worldwide, to estimate important variables. Dependent variables were set up as two variables that distinguish normal/depression from moderate/severe depression, and a total of 106 independent variables were included, including subjective health conditions, cognitive abilities, and daily life quality surveys, as well as the objective characteristics of the elderly as well as the subjective health, health, employment, household background, income, consumption, assets, subjective expectations, and quality of life surveys. Results: Studies have shown that satisfaction with residential areas and quality of life and cognitive ability scores have important effects in classifying elderly depression, satisfaction with living quality and economic conditions, and number of outpatient care in living areas and clinics have been important variables. In addition, the results of a random forest performance evaluation, the accuracy of classification model that classify whether elderly depression or not was 86.3%, the sensitivity 79.5%, and the specificity 93.3%. And the accuracy of classification model the degree of elderly depression was 86.1%, sensitivity 93.9% and specificity 74.7%. Conclusions: In this study, the important variables of the estimated predictive model were identified using the random forest technique and the study was conducted with a focus on the predictive performance itself. Although there are limitations in research, such as the lack of clear criteria for the classification of depression levels and the failure to reflect variables other than KLoSA data, it is expected that if additional variables are secured in the future and high-performance predictive models are estimated and utilized through various machine learning techniques, it will be able to consider ways to improve the quality of life of senior citizens through early detection of depression and thus help them make public policy decisions.

Study on Geostatistical Method for an Effectiveness Analysis on Carbon Reduction Policy - Focusing on the Carbon Point System (탄소저감정책 효과분석을 위한 공간통계기법 적용방안 연구 - 탄소포인트제도를 대상으로 -)

  • Hwang, Hae-Seong;Joo, Yong-Jin;Koh, June-Hwan
    • Spatial Information Research
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    • v.20 no.1
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    • pp.71-80
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    • 2012
  • Carbon Point system is Climate Change Action Program by providing incentives in proportion to voluntary reduction of energy consumption such as electricity, gas and water for houses, commercial facilities. So far, existing researches have been limited to construction of GHG(Green House Gas) Inventory and have little attention to empirical impact analysis on carbon reduction policy regarding the residential section. Therefore, this paper is intended to provide convincing findings of impact analysis on carbon reduction, revolving around the carbon point system. For this, we firstly calculated the carbon emission by using electricity and gas usage data in household targeting to Seongbuk-Gu. Carrying out IPA and spatio-temporal analysis. Then, we are capable of visualizing spatial patterns from 2007 to 2009 as a macro analysis. Following that, we explored the effect on carbon point system through Ex ante-Ex post Analysis by paired t-test. To conclude, we can spatially identify the distribution with a significant difference between carbon emissions according to energy use as a micro analysis by Hot Spot to Analysis on point entities. It is to be hoped that this method will be utilized to establish various policies and to evaluate the effect of reduction of GHG.

A Factor Analysis on Resident's Satisfaction of the Efficient Rural Development Projects: Focusing on the Rural Development Projects under the Block Grants System in Buyeo (효율적인 농산어촌지역개발사업을 위한 주민만족요인분석 -부여군 포괄보조금제도하에 지역개발사업을 중심으로-)

  • Yoon, Jun Sang;Park, Eun Byong
    • Journal of Agricultural Extension & Community Development
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    • v.19 no.4
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    • pp.773-798
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    • 2012
  • The study present the findings divide into brand naming, image, positioning. The farms built trust by consumer relationship with the farm brand. The results of the study provide insights for agricultural marketers who intend to design brand stories that align with their produce. This study is a regional case study of the factor analysis which explain residents' satisfaction of the efficient rural development projects under the Block Grants System in Buyeo. This study attempted to proceed the empirical survey of 353 residents who live in one 'town(eup)' and 13 'village(meon)' in Buyeo-gun and analyzed through SPSSWIN. The results of the satisfaction analysis in the local development projects satisfied with the overall average 3.16 and then empirically verified the important factors of the 'cultural and leisure activities', 'learning environment', 'jobs and working conditions', 'transportation'. The factor analysis of 12 variables united into three factors, the first Factors are 'transportation', 'learning environment', 'social welfare', 'cultural and leisure activities', 'Information and Communication', 'Health and Medical Services'. The second factors are 'crimes and accidents', 'environmental management', 'neighbor relations and social participation', and the third factors united into 'income and consumption activities', 'job creation' which imply the economic variables, and 'residential environment' as the common category.

Reactive Power Variation Method for Anti-islanding Using Digital Phase-Locked-Loop (DPLL을 이용한 능동적 단독운전방지를 위한 무효전력변동법)

  • Lee, Ki-Ok;Yu, Byung-Gu;Yu, Gwon-Jong;Choi, Ju-Yeop;Choy, Ick
    • Journal of the Korean Solar Energy Society
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    • v.28 no.2
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    • pp.64-69
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    • 2008
  • As the grid-connected photovoltaic power conditioning systems (PVPCS) are installed in many residential areas, these have raised potential problems of network protection on electrical power system. One of the numerous problems is an Islanding phenomenon. There has been an argument that it may be a non-issue in practice because the probability of islanding is extremely low. However, there are three counter-arguments: First, the low probability of islanding is based on the assumption of 100% power matching between the PVPCS and the islanded local loads. In fact, an islanding can be easily formed even without 100% power matching (the power mismatch could be up to 30% if only traditional protections are used, e.g. under/over voltage/frequency). The 30% power-mismatch condition will drastically increase the islanding probability. Second, even with a larger power mismatch, the time for voltage or frequency to deviate sufficiently to cause a trip, plus the time required to execute a trip (particularly if conventional switchgear is required to operate), can easily be greater than the typical re-close time on the distribution circuit. Third, the low-probability argument is based on the study of PVPCS. Especially, if the output power of PVPCS equals to power consumption of local loads, it is very difficult for the PVPCS to sustain the voltage and frequency in an islanding. Unintentional islanding of PVPCS may result in power-quality issues, interference to grid-protection devices, equipment damage, and even personnel safety hazards. Therefore the verification of anti-islanding performance is strongly needed. In this paper, improved RPV method is proposed through considering power quality and anti-islanding capacity of grid-connected single-phase PVPCS in IEEE Std 1547 ("Standard for Interconnecting Distributed Resources to Electric Power Systems"). And the simulation results are verified.

An Analysis of Gas Accident between 1995 and 1998, and Suggestion of Accident Reduction Countermeasures. (1995 ${\~}$ 1998년 가스사고 분석 및 사고감소대척 제시)

  • Park Kyo-Shik;Kim Ji-Yoon
    • Journal of the Korean Institute of Gas
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    • v.4 no.3 s.11
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    • pp.1-8
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    • 2000
  • It is required that gas accidents should be managed carefully as the consumption of fuel gas increases and high pressure gas process becomes more complex, which may cause a catastrophic accident. Factors to cause accidents were investigated through a systematic analysis of gas accidents between 1995 and 1998, which could be applied to prepare countermeasures to reduce gas accidents. As a result, it was suggested that the effective countermeasures to gas accidents should be kept applied, while new countermeasures were suggested in the field of increasing or not-decreasing number of accident. Totally 2,027 of accidents were reported during this term, and were found to decrease by about $12\%$ every year from 1996. The number of fuel gas such as LPG and city gas accident took up $96\%$, and most of accidents occurred at end-user's facility such as residential house and restaurant business. According to the kind of gas and facility, trend of accident by cause varies, while dominant causes are defective installation, appliance failure, or user's carelessness. Intentional accidents by fuel gas was excluded in this study because of its occurring mechanism and will be analyzed further elsewhere, although it took up $15\%$ and increased by $38\%$ every year.

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Study of the Factors Determining Life Satisfaction of Local Residents in Chungbuk Province (지역주민의 생활 만족도에 영향을 미치는 결정요인 연구 -충청북도를 대상으로-)

  • Cho, Taek-Hee;Bae, Min-Ki
    • The Journal of the Korea Contents Association
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    • v.17 no.5
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    • pp.591-601
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    • 2017
  • The purpose of this research was to identify the effects of factors determining life satisfaction (LS) of local residents in chungbuk province. After reviewing the literature, this research selected and developed the 9 categories and specific indicators of LS. This research had obtained data through a face to face investigation using questionnaire, which surveyed 1,619 residents at 11 local governments in chungbuk province. This research analyzed the data using descriptive statistical methods and multiple linear regression method. This research found that 1) the level of overall LS had 4.433 points out of 7, the level of residential environment satisfaction had highest point (4.911), but the level of leisure culture satisfaction had lowest point (4.155), 2) in multiple regression analysis, The effect of income and consumption level on LS was highest. The degree of labor and life-social services was important factor to increase LS. The results of this study were expected to provide many implications for implementing policies to improve LS in the country and local governments.

Assessment of Busan City Central Area System and Service Area Using Machine Learning and Spatial Analysis (머신러닝과 공간분석을 활용한 부산시 중심지 체계 및 영향권 분석)

  • Ji Yoon CHOI;Minyeong PARK;Jung Eun KANG
    • Journal of the Korean Association of Geographic Information Studies
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    • v.26 no.3
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    • pp.65-84
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    • 2023
  • In order to establish a balanced development plan at the local government level, it is necessary to understand the current urban spatial structure. In particular, since the central area is a key element of balanced development, it is necessary to accurately identify its location and size. Therefore, the purpose of this study was to identify the central area system for Busan and to derive underprivileged areas that were alienated from the service areas where the functions of the central area could be used. To identify the central area system, four indicators(De facto Population, Land Price, Commercial Buildings, Credit Card Consumption) were used to calculate the central area index, and Getis-Ord Gi* and DBSCAN analysis were performed. Next, the hierarchy of the central areas were classified and the service areas were derived through network analysis by using it. As a result of the analysis, a total of 12 central areas were found in Seomyeon, Jungang, Yeonsan, Jangsan, Haeundae, Deokcheon, Dongnae, Daeyeon, Sasang, Pusan National University, Busan Station, and Sajik. Most of the underprivileged areas affected by the central area appeared in the Eastern area of Busan and the Western area of Busan, and were derived from old industrial areas, residential areas, and some new cities. Based on the results of the study, we can find three meanings. First, we have made a new attempt to apply a machine learning methodology that has not been covered in previous studies. Second, our data show the difference between the actual data and the existing planned central areas. Third, we not only found the location of the central areas, but also identified the underprivileged areas.

A Survey on Consumption Pattern of Minimally Processed Fruits and Vegetables (최소가공기술을 이용한 신선편의 과채류의 소비형태에 대한 연구)

  • Kim, Gun-Hee;Bang, Hye-Yeoul
    • Journal of the Korean Society of Food Culture
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    • v.13 no.4
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    • pp.267-274
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    • 1998
  • The consumption patterns of the minimally processed fruits and vegetables were surveyed in this present study. Eighty four women who were resident in either Seoul and Kyongki-do in Korea were participants in this study as respondents to our various questionnaire. The result are summarized as follows; The respondents had a preference for a supermarket (46.4%) as the place of purchase (or fruits and vegetables and the frequency of purchase was two or three times per week. The residents of apartment preferred department stores and supermarkets to stalls in the immediate residential area (p<.05). Fifty percents of the unmarried women respondents indicated that they only purchased once a week. Approximately 70% of the respondents rated quality considerations over the price and quantity when they choose their fruits and vegetables. This behavioral tendency was stronger for the residents of the apartment and amongst the more highly educated women. The type of fruits and vegetables purchased were mainly unprocessed. However, minimally processed products appeared to be popular especially among unmarried or married who did not have children, were highly educated and aged between 20 and 30. These observations are supported by data in which 82% of respondents whose ages were ranged between 20 and 30, with high educational backgrounds and who had experienced in the purchase of minimally processed fruits and vegetables. The motivation for purchasing minimally processed fruits and vegetables generally resulted from a consideration of the saving in cooking time, the ease of handling and the desire to serve appropriate portions. On the other hand, the reasons for not purchasing minimally processed fruits and vegetables were the comparatively high price, a perception of unsanitary handling and pack size that were considered too small. Ninety-three percent of the respondents exhibited a positive response to the need for minimally processed fruits and vegetables. Freshness was considered to be the most important factor when purchasing these products. The preferred price for the minimally processed fruits and vegetables was approximately $110{\sim}120%$ of that for the unprocessed products.

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A Study on the Location of Retail Trade in Kwangju-si and Its Inhabitants와 Effcient Utilization (광주시 소매업의 입지와 주민의 효율적 이용에 관한 연구)

  • ;Jeon, Kyung-sook
    • Journal of the Korean Geographical Society
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    • v.30 no.1
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    • pp.68-92
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    • 1995
  • Recentry the structure of the retail trade have been chanaed with its environmantal changes. Some studies may be necessary on the changing process of environment and fundamental structure analyses of the retail trade. This study analyzes the location of retail trades, inhabitants' behavior in retail tredes and their desirable utilization scheme of them in Kwangju-si. Some study methods, contents and coming-out results are as follows: 1. Retail trades can be classified into independent stores, chain-stores (supermarket, voluntary chain and frenchiise system and convenience store), department stores, cooperative associations, traditional, markets mail-order marketing, automatic vending and others by service levels, selling-items, prices, managements, methods of retailing and store or nonstore type. 2. In Kwangju, the environment of retail trades is related to the consumers of population structure: chanes in consumers pattern, trends toward agings and nuclear family, increase of leisur: time and female advances to society. Rapid structural shift in retail trade has also been occurred due to these social changes. Traditionl and premodern markets until 1970s altere to supermarkets or department stores in 1980s, and various types, large enterprises and foreign capitals came into being in 1990s. 3. The locational characteristics of retail trades are resulted from the spatial analysis of the total population distribution, and from the calculation of segregation index in the light of potential demand. The densely-populated areas occurs in newly-built apartment housing complex which is distributed with a ring-shaped pattern around the old urban core. The numbers and rates of the aged over sixty in Kwangsan-gu and the circumference area of Mt.Moodeung, are larger and higher where rural elements are remarkable. A relation between population distribution and retail trade are analysed by the index of population per shop. The index of the population number per shop is lower in urban center, as a whole, being more convenient for consumers. In newly-formed apartment complex areas, on the other, the index more than 1,000 per shop, meeting not the demands for consumers. Because both the younger and the aged are numerous in these areas, the retail trade pattern pertinent to both are needed. Urban fringes including Kwangsan-gu and the vicinity of Mt.Moodeung have some problems owing to the most of population number per shop (more than 1, 500) and the most extensive as well. 4. The regional characteristic of retail trade is analyzed through the location quotient of shops by locational patterns and centerality index. Chungkum-dong is the highest-order central place in CBD. It is the core of retail trades, which has higher-ordered specialty store including three big department stores, supermarkets and large stores. Taegum-dong, Chungsu-dong, Taeui-dong, and Numun-dong that are neiahbored to Chungkum-dong fall on the second group. They have a central commercial section where large chain stores, specialty shopping streets, narrow-line retailing shops (furniture, amusement service, and gallary), supermarkets and daily markets are located. The third group is formed on the axis of state roads linking to Naju-kun, Changseong-kun, Tamyang-kun, Hwasun-kun and forme-Songjeong-eup. It is related to newly, rising apartment housing complex along a trunk road, and characterized by markets and specialty stores. The fourth group has neibourhood-shopping centers including older residential area and Songjeong-eup area with independent stores and supermarkets as main retailing functions. The last group contains inner residential area and outer part of a city including Songjeong-eup. Outer part of miscellaneous shops being occasionally found is rural rather than urban (Fig. 7). 5. The residents' behaviors using retail trade are analyzed by factors of goods and facilities. Department stores are very high level in preference for higher-order shopping-goods such as clothes for full dress in view of both diversity and quality of goods(28.9%). But they have severe traffic congestions, and high competitions for market ranges caused by their sma . 64.0% of respondents make combined purpose trips together with banking and shopping. 6. For more efficiency of retail-trading, it is necessary to induce spatial distribution policy with regard to opportunity frequency of goods selection by central place, frontier regions and age groups. Also we must consider to analyze competition among different types of retail trade and analyze the consumption behaviors of working females and younger-aged groups, in aspects of time and space. Service improvement and the rationalization of management should be accomplished in such as cooperative location (situation) must be under consideration in relations to other functions such as finance, leisure & sports, and culture centers. Various service systems such as installment, credit card and peremium ticket, new used by enterprises, must also be carried service improvement. The rationalization and professionalization in for the commercial goods are bsically requested.

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