• Journal of the Korean Association of Geographic Information Studies
• /
• v.8 no.3
• /
• pp.44-54
• /
• 2005

Most advanced countries in GIS field have established and managed georeferenced socioeconomic data systematically and made a great profit on various social and economic areas. In Korea, however, socioeconomic geographical information is relatively poor compared to systems related to geographical and topographical features. This is mainly due to the characteristics of the process from the construction to the utilization of socioeconomic data. That is, from the stage of data construction, socioeconomic data require solutions for frequent changes compared to data on geographical and topographical features and, because of difficulties in marking the positions of individual entities, information is built up through setting appropriate spatial units of aggregation. In the stage of data utilization, the data often need to be combined with other types of socioeconomic data due to the complexity of socioeconomic phenomena. Thus, the this study examined usability of GIS in socioeconomic fields and the spatial dimension of socioeconomic information through representative cases of GIS in developed countries and, based on the results, derived data requirements for socioeconomic GIS found in the construction and utilization of data and proposed solutions for the requirements.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.10 no.1
• /
• pp.59-67
• /
• 1986

The purpose of this study was to identify the characteristics of fashion leaders in relation to attitude toward change and socioeconomic level among Dae Gu woman as well as among rural women living on the suburbs of Dae Gu: and to compare the characteristics of these urban women in a mass society with the rural women living in a traditional society. Measures selected for this study consisted of the Schrank Fashion Opinion Leadership Inventory(1973), the Schrank ana Sugawara Attitudes Toward Change Inventory(1977), and socioeconomic level. The fashion Innovation Inventory was developed by author which consisted of a list of clothing and accessory items selected after surveys to local stores, campus, and main streets, and study of fashion magazines for the current seasons. The data from 280 respondents were analyzed by Pearson corrleation coefficients, analysis of variance, and t-test. The results were as followers : 1) A significant relationship was found between fashion leadership and socioeconomic level for both urban and rural women. High attitude toward change was significantly related to high fashion innovativeness and high fashion opinion leadership among the urban groups. re significant relationship was found between fashion opinion leadership and attitude toward change among the rural sample. 2) A significant difference was found in attitude toward change scores of four urban sub-sample groups : fashion innovators, fashion opinion leaders, fashion innovative communicators(who exhibit high scores on both fashion innovativeness and fashion opinion leader-ship), and non-fashion innovative communicators. No significant difference was found in attitude toward change scores of four rural sub-sample groups. No significant differences were found in socioeconomic level of four sub-sample groups for both urban and rural women.

• Korean Journal of Child Studies
• /
• v.30 no.4
• /
• pp.135-153
• /
• 2009

This study examined trends in private after-school lessons for preschoolers and elementary school children as a function of demographic characteristics such as children's age, socioeconomic status, and mothers' employment status. One thousand and sixty-three mothers completed questionnaires on demographic characteristics and their children's participation in private after-school lessons. Data were analyzed by chi-square, one-way ANOVA, t-test, and multiple regression analyses. Results demonstrated that older children and children from higher income and full-time homemaker families attended more private lessons. Age of children was the most influential variable among the demographic characteristics; that is, older children had more after-school lessons. Recommendations for future research are to focus on possible negative effects of excessive private lessons on children's socio-emotional development.

• Korean Journal of Child Studies
• /
• v.37 no.6
• /
• pp.157-168
• /
• 2016

Objective: This study examined the intellectual characteristics of 1,700 Korean children aged 2 years, 6 months to 7 years, 7 months across two age ranges (2 years, 6 months to 3 years, 11 months; 4 years to 7 years, 7 months). Methods: Data from the standardization study of the K-WPPSI-IV were analyzed using Korean and American norms and in terms of socioeconomic variables such as region, maternal education level, and child gender. Results: Korean children performed differently from their American counterparts in most subtests and indexes. Verbal subtest performances for Korean children were significantly lower and performance subtest performances for Korean children were significantly higher. There were significant regional differences, with higher performances among children from Seoul than from other areas. Children whose mothers had higher education levels showed higher performances than their counterparts. This trend was more apparent in the older age range. Gender differences were found in most subtests, with girls showing higher scores than boys. Conclusion: This study revealed cross-cultural differences in intellectual characteristics measured with the newly standardized K-WPPSI-IV. In addition, significant effects of socioeconomic variables such as region, maternal education level, and gender were found.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.32 no.7
• /
• pp.1132-1146
• /
• 2003

The purpose of this study was to identify the eating habits and dietary consciousness of urban residents according to socioeconomic characteristics. The survey was administered by the nationwide 690 adults in February 2001. The survey was conducted by a questionnaire that was composed of 20 items. The results of this study show that 56.8% of the subjects had breakfast everyday and majority of them ate cooked rice (57.4%) or rice with mixed grain and bean (33.0%) as stable food for breakfast. 73.6% of the subjects ate out less than 5 times a month and, most of them preferred Korean dishes to Western dishes. The majority of the subjects had a meal regularly and they ate dinner abundantly with gusto compared to breakfast and lunch. Mean values of preference (5 point scales) for snack, salty and hot taste, and processed food were 3.07±0.89, 2.75±0.83, 3.28±0.90, 2.69±0.84 respectively. Interest (4 point scales) in eating safe and fresh food, balanced diet, and overeating calorieㆍsugarㆍsaltㆍfat were 3.26±0.66, 2.83±0.70, 2.89±0.75, respectively. As the purpose of eating, 44.8% of the subjects placed emphasis to supply nutrition but 16.6% put emphasis on physiologic desire. About half of the subjects needed to change their own eating habits. As improvement of their eating habits, the majority of them answered ‘balanced diet’. There were significant differences in eating habits and dietary consciousness of the subjects by socioeconomic characteristics. As the age goes down and education level goes up, they had wrong eating habits generally. For occupation, housewives had right eating habits but students were not. For interest in food and nutrition, male, 20' age-group, students and over college graduation group were worse than the other groups within each socioeconomic characteristic. Consequently, nutrition education for them is needed preferentially, also their socioeconomic characteristics must be considered in nutrition education.

• The Journal of the Korea Contents Association
• /
• v.22 no.1
• /
• pp.581-590
• /
• 2022

The purpose of this study was to ascertain the differences in social distancing practices by socioeconomic characteristics according to the national campaign on strong social distancing from March 22 through April 19. The data were obtained from the online survey performed by Embrain from May 13 through May 19. The sample consisted of 1,117 adults aged between 19 and 69. The campaign included six rules: to postpone or cancel unnecessary meeting, to refrain from going out, to keep personal hygiene, to stay home when sick, to ventilate frequently. Social distancing scores were defined as the proportion of items observed on a scale of 10. The multivariate regression analysis showed that type of housing and type of working were significantly related to social distancing scores. Study results imply that customized campaigns are needed for those from lower socioeconomic status.

• 제어로봇시스템학회:학술대회논문집
• /
• 2002.10a
• /
• pp.42.1-42
• /
• 2002

A model to predict population by sex, age and district over a long-range period is proposed based on fuzzy theories. First, a fuzzy model is described. Second, a method to estimate the social increase by sex and age in each district is proposed based on a fuzzy clustering method for dealing with long-range socioeconomic changes in population migration. By the proposed methods, it became possible to predict the population by sex, age and district over a long-range period. Third, the structure and characteristics of the three models of employment model, time distance model, and land use model constructed to predict various socioeconomic indicators, which are require...

• Journal of Community Nutrition
• /
• v.8 no.1
• /
• pp.38-43
• /
• 2006

There were numerous evidences that subjective health evaluation was a powerful indicator for morbidity and mortality in many countries. Since self-rated health (SRH) was a reasonable health measure, identifying predictors for SRH would be beneficial for assessment of overall health, monitoring health status, and development of health promotion programs. Health risks, health behavior, socioeconomic characteristics and social capital were potential indicators for SRH. We examined association. between SRH and indicators such as health risk factors, subjective living condition, income, education level and dietary variety score. Total 4,262 subjects, aged between 20 and 69 years old, were selected from KNHANES 2001; those who completed health examination, nutrition survey, and provided their socioeconomic information. Results of logistic regression showed that it was likely to have better SRH for those who were younger, male and have higher education, higher income, better living condition, no metabolic syndrome and higher dietary variety.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.8 no.2
• /
• pp.11-17
• /
• 1984

The purpose of this study was to explore the characteristics of Fashion leadership in relation to social partipation, mass communication, and socioeconomic level among married women living in Seoul. Fashion opinion leadership was measured by Schrank Fashion Opinion Leadership Inventory. Fashion Preference Scale was designed to determinefashion innovativeness. Social parti-cipationana mass communication were assessed by selected items from the inventory of Summer and Kim. Hollingshead's two-factor index and weighting system was selected to assess socioeconomic level. The questionnaires were adminstered to a random sample of married women in Seoul. The date for 214 respondents were analyzed by Pearson correlation, analysis of variance, and t-teat. The results were as followers : 1) Fashion opinion leadership was significantly related to fashion preference. 2) Fashion leadership was significantly related to social participation, mass communication, socioeconomic level. 3) There was a significant difference between fashion leadership and age. 4) Women's occupation had little influence on fashion opinion leadership as well as fashion preference.

• International Journal of Highway Engineering
• /
• v.17 no.6
• /
• pp.75-83
• /
• 2015

PURPOSES : This study deals with the traffic accidents classified by the traffic analysis zone. The purpose is to develop the accident density models by using zonal traffic and socioeconomic data. METHODS : The traffic accident density models are developed through multiple linear regression analysis. In this study, three multiple linear models were developed. The dependent variable was traffic accident density, which is a measure of the relative distribution of traffic accidents. The independent variables were various traffic and socioeconomic variables. CONCLUSIONS : Three traffic accident density models were developed, and all models were statistically significant. Road length, trip production volume, intersections, van ratio, and number of vehicles per person in the transportation-based model were analyzed to be positive to the accident. Residential and commercial area ratio and transportation vulnerability ratio obtained using the socioeconomic-based model were found to affect the accident. The major arterial road ratio, trip production volume, intersection, van ratio, commercial ratio, and number of companies in the integrated model were also found to be related to the accident.