• Korean Institute of Interior Design Journal
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• v.25 no.3
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• pp.102-111
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• 2016

There are various form of public elements in modern urban space. These public elements mingle with sociocultural elements which consist of each city, determining urban environment's image. Especially, since the social value of design becomes important, the social role of public design has been emphasized as an effective value for public interest and environment. It is just about 10 years since design mind in the public sector has been made domestically. Even though domestic public design has been studied not so long, it has developed with radical change of social culture and science technology. This study targets public environment in modern dense urban space. Also, it grasps the trend of public design studies through analysing and documentary survey of the existing studies, and based on that result, aims at presenting the direction that domestic public design studies should progress. This study selected 253 theses(1989.6~2015.11) by collecting primary, secondary data about public design studies, and implemented overall meta-analysing about the trend of domestic public design studies. As a result, public design has been studied intensively in the field of design about environment, architecture, etc. The trend analyzing of study purpose and keyword has a tendency which is weighted towards exploratory study focused on suggestion and development about object and realm of public design. The trend analyzing of study area tends to study overall part of public space or public facility rather than specific area and object. The most parts of studies analyze domestic area, especially Seoul metropolitan area. Also, the study method weighted in favor of some qualitative analysis has been utilized.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.4
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• pp.89-114
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• 2021

This study analyzed the previous studies and utilization cases on library big data, and based on this, analyzed the collection/circulation data of the library big data platform and tried to derive meaningful analysis results. And five analysis indicators were selected: the increase rate of collections by annual, the composition of collections by subject, the composition of unborrowed collections by subject, the rate of borrowed collections, and use factor by subject. The analysis data is 6,722,603 cases of collection/circulation data from 33 public libraries in Busan. The main analysis results are as follows. First, it was found that the gap in the number of circulation was larger than the number of collection in the 33 public libraries. Second, the annual increase rate of collections also showed a clear decline. Third, each library showed a similar pattern in the composition of both the collections and the unborrowed collections by subject. Fourth, it was found that users' circulation were very different by subject and library. Fifth, in most libraries, the rate of circulation of collections and use factor in the natural science field were the highest.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.2
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• pp.363-384
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• 2024

This study was conducted to examine the user's experiences with the public library in Daejeon using big data analysis, focusing on the text mining technique. To know this, first, the overall evaluation and perception of users about the public library in Daejeon were explored by collecting data on social media. Second, through analysis using online news articles, the pending issues that are being discussed socially were identified. As a result of the analysis, the proportion of users with children was first high. Next, it was found that topics through LDA analysis appeared in four categories: 'cultural event/program', 'data use', 'physical environment and facilities', and 'library service'. Finally, it was confirmed that keywords for the additional construction of libraries and complex cultural spaces and the establishment of a library cooperation system appeared at the core in the news article data. Based on this, it was proposed to build a library in consideration of regional balance and to create a social parenting community network through business agreements with childcare and childcare institutions. This will contribute to identifying the policy and social trends of public libraries in Daejeon and implementing data-based public library operations that reflect local community demands.

• Health Policy and Management
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• v.25 no.2
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• pp.80-89
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• 2015

Background: This study aims to identify the monthly average medical expenses of public pension recipients, and analyze the determinants of total health and medical expenses and Western and Oriental medicine expenses, medical service expenses, and medical supplies expenses. Methods: This study used the fifth year data of 2013 out of the raw data of the Korean Retirement and Income Study collected by the National Pension Research Institute. This study conducted t-test, analysis of variance, and linear regression to verify publicly the relevance between pension recipients' general characteristics and health and medical expenses status using IBM SPSS ver. 21.0 for data analysis. Results: It was analyzed that there is a difference in the spending of expenditure and health care costs according to public pension recipients. Medical expenses of the national pensioners was higher compared to the special corporate pensioners. The national pensioner is related expenditure size, education level, family members living together, residential areas, status of spouse, number of chronic illness, and status of limitation in daily life with psychological health status. Conclusion: Therefore, fairness does not occur fire to the medical use between the special corporate pensioners and national pensioners, aggressive of government such as health policy and financial support for the retiree pension policy that reflects the reality intervention would be required.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.705-714
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• 2020

This study aims to investigate the main factors that affected the government health expenditures in Gulf Cooperation Council (GCC) countries (Kingdom of Saudi Arabia (KSA), United Arab Emirates (UAE), Oman, Qatar, Bahrain and Kuwait), during the period from 2005 to 2019. The study employs a panel data technique in order to monitor the pooled determinant variables of healthcare expenditures in these countries. The study's results indicate, by using FMOLS approach for panel data, that the average healthcare expenditures per capita in GCC countries have a positive and a significant relationship with the government revenues, the size of the population, and the governments' public debt. The positive and the significant relationships of governments' public debt may be explained even if the governments of the GCC countries suffer from a budget deficit; the GCC countries continue to increase the healthcare expenditure. The study suggests that the policymakers of the GCC countries must take into consideration those variables when they develop their healthcare policies. Also, the GCC countries urgently need to have high levels of foreign exchange reserves to maintain the expected level of spending on the healthcare sector, because their public revenues depend mainly on the oil revenues, which are fluctuating continuously.

• Journal of Korean Public Health Nursing
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• v.16 no.1
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• pp.201-212
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• 2002

This study was designed to identify the risk factors of unplanned readmission in a university hospital. The six-month discharge information from January to June, 2000 in a tertiary university hospital was used as a source of data through the medical record and hospital information system. To increase the effect of comparison. the data were collected by sampling 192 couples (384 patients) of unplanned readmission group through the matching by its disease groups, sex, and age. The accuracy of prediction for unplanned readmission was analyzed by constructing the predicted model of unplanned readmission through the logistic regression. The study results are as follows. The conditional logistic regression analysis was performed with nine variables at the significance level 0.05 through univariate analysis including residence, days after discharge, initial admission route, previous admission, transfer to special care unite, hospital stay days, medical care expenses, special cares, and laboratory and imaging services. As a result, the closer the patients live in Seoul and Gyeong-in area (Odds ratio=2.529, p=0.003), the shorter the days after discharge was (Odds ratio=0.600, p=0.000), and the more frequent admission rate was (Odds ratio=2.317, p=0.004), the more unplanned readmission was resulted. Also, the accuracy of prediction for data classification of this regression model showed $70.3\%$(032+83/306).

• Journal of the Korean Institute of Educational Facilities
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• v.26 no.2
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• pp.11-18
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• 2019

There is a growing demand for public kindergartens due to the problem of private kindergartens. However, when the kindergarten is built in the residential land development area, the cost of purchasing the land increases, and the overall project cost is increasing. This situation puts a lot of burden on educational finances. Therefore, to reduce the cost of establishing a kindergarten, it is required to revise related laws including act on the special cases concerning the procurement, etc. of school sites. The purpose of this study is to propose the revised laws to expand public kindergartens. In this study, the present situation of infants and kindergartens was analyzed through policy data and statistics. And the analysis of the investment evaluation data also analyzed the problems in establishing kindergarten. In addition, we conducted surveys and FGI analyzes on school sites and kindergarten related laws and regulations. Finally, this study aims to find a way to amend related acts of urban and architectural Planning for Invigoration of Public kindergarten establishment by analysis data.

• The Korean Journal of Health Service Management
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• v.12 no.1
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• pp.1-11
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• 2018

Objectives : The purpose of this study was to identify the relationship between decision-making types, public entrepreneurship, and performance management of local public hospital directors. Methods : A questionnaire survey was carried out to assess the dependent variables of directors' decision-making types and public entrepreneurship. The analysis of management performance was carried out through a comparison between 2016 results of, data of variation rate on medical revenue and change rate on medical profit and results in 2015. Results : Results indicated that local public hospital directors who used rational decision-making showed better performance management. The analysis showed that enterprise had a greater positive effect (+) on variation rate of medical revenue than that of innovation. However, innovation had a higher positive effect (+) on change rate of medical profit than that of enterprise. These results suggest that innovation and enterprise have a major influence on performance management. Conclusions : The survey used for this study suggests that an education and training program is needed to improve public hospital directors' ability for rational decision-making, public entrepreneurship and performance management. Additionally, the policy change guaranteeing autonomy within the proper range is demanded that Local Public Hospital Director having spirit of innovation and enterprise achieves peak capacity and have responsibility for management.

• The Journal of Bigdata
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• v.7 no.2
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• pp.235-244
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• 2022

The rental history data of public bicycles in Seoul were analyzed to examine how pandemic phenomena such as COVID-19 caused changes in people's micro mobility. Data for 2019 and 2021 were compared and analyzed by dividing them before and after COVID-19. Data were collected from public data portal sites, and data marts were created for in-depth analysis. In order to compare the changes in the two periods, the riding direction type dimension and the rental station type dimension were added, and the derived variables (rotation rate per unit, riding speed) were newly created. There is no significant difference in the average rental time before and after COVID-19, but the average rental distance and average usage speed decreased. Even in the mobility of Ttareungi, you can see the slow rhythm of daily life. On weekdays, the usage rate was the highest during commuting hours even before COVID-19, but it increased rapidly after COVID-19. It can be interpreted that people who are concerned about infection prefer Ttareungi to village buses as a means of micro-mobility. The results of data mart-based visualization and analysis proposed in this study will be able to provide insight into public bicycle operation and policy development. In future studies, it is necessary to combine SNS data such as Twitter and Instagram with public bicycle rental history data. It is expected that the value of related research can be improved by examining the behavior of bike users in various places.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.27-39
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• 2018

Since the global positioning system (GPS) has been included in mobile devices (e.g., for car navigation, in smartphones, and in smart watches), the impact of personal GPS log data on daily life has been unprecedented. For example, such log data have been used to solve public problems, such as mass transit traffic patterns, finding optimum travelers' routes, and determining prospective business zones. However, a real-time analysis technique for GPS log data has been unattainable due to theoretical limitations. We introduced a machine learning model in order to resolve the limitation. In this paper presents a new, three-stage real-time prediction model for a person's daily route activity. In the first stage, a machine learning-based clustering algorithm is adopted for place detection. The training data set was a personal GPS tracking history. In the second stage, prediction of a new person's transient mode is studied. In the third stage, to represent the person's activity on those daily routes, inference rules are applied.