• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.189-199
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• 2019

The purpose of this study is to derive spatial area(preventive zone) where the movement of livestock vehicles occurs frequently. For this purpose, this study used 6 periods facility entrance data provided by KAHIS. This data was converted into vehicle movement data between livestock facilities and aggregated into administrative district units. The R-mode factor analysis was performed on the constructed OD data, and the region extracted by the same factor was judged as one region. The results of the analysis are summarized as follows. First, the factor analysis of 6 periods data showed 16 ~ 18 factors, and the derived factors explained 63 ~ 68% of the total variance. Second, based on the factors that were derived, Jeonam coastal area, Jeonnam area, Jeonbuk area, Chungnam coastal area, Gyeongnam area, northern Gyeongbuk area, Yeongnam costal area were found to be stable, with little change over time. On the other hand, Chungbuk area, Gangwon area, Seoul metropolitan area are relatively volatile areas. Third, 13 areas were derived by combining data from six periods.

• Journal of Climate Change Research
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• v.4 no.4
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• pp.331-348
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• 2013

The frequency and intensity of abnormal climate caused by climate change is increasing in Korea. Also, the amount of damage from disaster is increasing rapidly. The research on vulnerability assessment analyzes environmentally, socially and economically vulnerable indicators and is ongoing to reduce the intensity of damage and establish adaptation policies for climate change. Therefore, in this study, we assessed vulnerability using weighting value derived by the regression equation. There are 3 evaluation items : vulnerability assessment for farmland erosion to flood, vulnerability assessment for health to heat wave, vulnerability assessment for forest fire to drought. For this study, indicators for each sectors were selected and spatial data for each sectors were established using GIS program. Results showed that vulnerability to heat wave was more affected by climate factors. On the other hand, vulnerability to flood and drought was more affected by social-economic factors. Then, to analysis efficiency of the regression analysis, vulnerability result was compared between the existing vulnerability research with no weighting applied and the vulnerability research with the influence of weighting value derived by the regression. This study showed that the regression analysis is efficient to provide practical and feasible alternatives in terms of planning climate change adaptation policies and it is expected to be utilized for vulnerability assessment in the future.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.97-107
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• 2018

According to the 2017 national survey of the disabled persons conducted by the Ministry of Health and Welfare, rehabilitation centers for the disabled appeared to be the service agency that disabled women use the most. This means that rehabilitation centers for the disabled hold an important role in securing the maternity rights of disabled women. However, in the practice of welfare for the disabled, programs for securing maternity rights are inadequate, and the actual condition is not being surveyed. As a result, programs related to maternity rights based on the legal basis exist, but actual support services for resolving the difficulties related to maternity rights that disabled women experience are inadequate. Thus, the study suggests that rehabilitation centers for the disabled should pay a central role in establishing the maternity rights of disabled women and provide support services such as developing a manual on basic information about pregnancy, childbirth, and child rearing, offering childbirth-related counseling, activating a self-help group, providing an individualized program for families, connecting with medical institutions, and supporting case management.

• Journal of Environmental Impact Assessment
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• v.27 no.6
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• pp.647-657
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• 2018

This study was carried out to review as criteria for zoning at management plan for river restoration, in case of naturalness of river environment and suitability of water friendly activity suggested at assessment system of river environment in Korea. As a result of reviewing law and guidelines concerned, historic & cultural resources used as criteria for preservation zone, it was judged that the historical and cultural value as the preservation zone needs to be examined in connection with waterfriendly activity zone. In this study, we propose a sequential evaluation method to distinguish the waterfriendly activity zone by applying suitability of waterfriendly activity reflecting land use social characteristics, followed division of preservation and restoration zone at the first stage by the naturalness of river environment reflecting the natural environmental characteristics as a result of application to the test bed, Gap and Yudeung streams. In particular, it was concluded that the results of the present study provided more clear criteria for the problem that the last criteria for zoning did not reflect the difference between the left and the right side of stream, or the designation of the excessive water friendly zone. On the other hand, the criteria for designation in this study reflect the characteristics of various river environments as well as the setting of assessment unit based on the physical characteristics of rivers, and other legal regulations and local situations should be adjusted and supplemented in administrative procedures.

• Journal of the Korean Regional Science Association
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• v.35 no.2
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• pp.33-47
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• 2019

The purpose of this study is to examine the effect of urban decline on Subjective Well-being(SWB). According to the scale of the city, the municipal districts of Korea are classified into metropolitan cities, middle cities, and small cities. The SWB in the growth area, the maintenance area, and the declining area according to the degree of relative decline of each city group was examined. In addition, in order to consider the complex nature of urban decline, SWB was divided into overall life satisfaction, household income satisfaction, and housing environment satisfaction. Panel models were also used to identify the dynamic relationship between the progress of urban decay and the change in SWB. The empirical analysis of this study examined the effect of decline on the SWB for the local residents. As a result, it was confirmed that the effect of urban decline on the SWB of the residents varies according to the size of the city where the individual resides, according th the SWB by the division. In the case of metropolitan inhabitants, the decline of the housing environment of the residents due to deterioration of the physical environment was confirmed as a result of the decline of the city, but the overall life satisfaction was increased due to the decrease of the social costs such as congestion in an overcrowded area. On the contrary, in the case of the residents of the small cities, it is confirmed that the decline of the city reduces the overall life satisfaction, household income satisfaction, and housing environment satisfaction.

• Informatization Policy
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• v.26 no.3
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• pp.3-35
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• 2019

In the fourth industrial revolution age, because of advance in the intelligence information technologies, the various roles of AI have attracted public attention. Starting with Google's Alphago, AI is now no longer a fantasized technology but a real one that can bring ripple effect in entire society. Already, AI has performed well in the medical service, legal service, and the private sector's business decision making. This study conducted an exploratory analysis on the possibilities and issues of AI-driven policy decision making in the public sector. The three research purposes are i) could AI make a policy decision in public sector?; ii) how different is AI-driven policy decision making compared to the existing methods of decision making?; and iii) what issues would be revealed by AI's policy decision making? AI-driven policy decision making is differentiated from the traditional ways of decision making in that the former is represented by rationality based on sufficient amount of information and alternatives, increased transparency and trust, more objective views for policy issues, and faster decision making process. However, there are several controversial issues regarding superiority of AI, ethics, accountability, changes in democracy, substitution of human labor in the public sector, and data usage problems for AI. Since the adoption of AI for policy decision making will be soon realized, it is necessary to take an integrative approach, considering both the positive and adverse effects, to minimize social impact.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.229-236
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• 2019

This study aims to examine the moderating effect of Extended Song Sharing for helping alcoholics to deal with stress. ESS is structure with non-verbal techniques approaches traditional Song Sharing technique. For this study, 64 alcoholics hospitalized were experimental (n=33) and control groups (n=31). The group was asked to participate in 12 ESS programs twice a week, every 45 minutes for six weeks. During this period, all those who belonged to the experimental and control groups were required to continue to participate in treatment programs prescribed by hospitals. Result: ESS interventional effects on subjects were evaluated using a stress response scale. As a result of the experiment, the WCC score of the experimental group increased 7.3% (p=0.000) but there was almost no change in the control group (1.5% increase, p=0.019). Effects of WCC types were higher in the experimental group, followed by 13.67% (p=0.006) in coping with wishful thinking, 9.66% (p=0.000) in the pursuit of social support, 6.35% (p=0.000) in dealing with problems, and 4% (p=0.000) in coping with emotions. ESS activities have been confirmed to improve the way alcoholics cope with stress.

• Management & Information Systems Review
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• v.38 no.1
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• pp.121-139
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• 2019

This study aims to identify the change of customer participation(CP) which is essential to the service industry as the relationship between the customer and the employee develops. The latent growth modeling analysis based on the longitudinal data is utilized to examine the pattern of the change. This is based on the fact that CP needs to be understood in the relationship and is to confirm the change in CP by the development of the relationship. Given the dynamics of the relationship, we intend to overcome the limitations of previous cross-sectional researches by revealing the trajectory of CP in the relationship through the longitudinal data. We also want to examine which variables in the relationship can facilitate changes of CP. Research has shown that CP is significantly changed with the development of the relationship when we analyzed it through latent growth modeling. This confirms that CP needs to be understood in the relationship. In addition, 'relationship proneness' variable and 'dependence to provider' variable have positive effects on the initial values of CP, but they have not been established to promote the changes of CP. Consequently, when considering the dynamics of relationships, it is important to recognize that CP is also dynamic. This study sought to get out of the cross-sectional and fragmented understanding of CP that is dynamic. Through this, we would like to propose the successful operation of the customer management program of service firms in relation to CP. This will lead to the success of service encounter where appropriate CP levels at each stage of relationship development can be achieved.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.353-362
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• 2018

The national loss caused by the periodic livestock epidemic is very large. In addition, vehicle movement is the main cause of livestock epidemics in Korea. In this context, this study analyzed the relationship between the degree centrality of livestock facilities and the outbreak of infectious diseases. For this purpose, a livestock vehicle movement network was constructed using the facility entrance data provided by KAHIS. Afterwards, the centrality index was derived for each facility in the vehicle movement network and the mean centrality index of the epidemic and non-epidemic facilities were compared. The analysis results are summarized as follows. First, the degree centrality of epidemic facilities is significantly greater than non-epidemic facilities. As a result of the analysis of the entire period data and the period-based data, in most data, the degree centrality of facilities where livestock infectious diseases occurred was significantly greater than most non-occurrence facilities. Second, in the entire period data, the difference in degree centrality between the epidemic and non-epidemic facilities was smaller for HPAI than for FMD. On the other hand, no significant difference was found in the results of the analysis according to the divided period. The policy implications of the results are as follows. First, proactive management of facilities based on centrality is needed. Second, in the case of cloven-hoofed animal facilities, it is more urgent to introduce a management policy based on the degree centrality.

• Korean Journal of Community Nutrition
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• v.24 no.1
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• pp.60-76
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• 2019

Objectives: The purpose of this study was to develop a systematic and standardized "The Survey on School Foodservice Program" that can identify the current status of school meals on the nationwide level. Methods: This study was carried out in six steps of the analysis of report/investigation data related to school foodservice in metropolitan and provincial offices of education, analysis of preceding research related to the actual status of school foodservice, field verification of the actual condition of the school foodservice site, development of a draft of "The Survey on School Foodservice Program", pilot study of a draft of "The Survey on School Foodservice Program", and suggestions of a final model of "The Survey on School Foodservice Program" from August to December, 2017. Statistical analysis was performed for frequency analysis and descriptive analysis using the SPSS program ver. 23. Results: A draft of "The Survey on School Foodservice Program" was developed by analyzing the current status of report/research data on school meals in metropolitan and provincial offices of education, analyzing the preceding research on school meals, and identifying the actual conditions at school foodservice sites. To verify the validity of the school foodservice survey questionnaire, 1,031 schools were sampled from a total of 10,251 schools and the pilot test of '2017 School Foodservice Survey' was conducted. The final model of "The Survey on School Foodservice Program" consisted of 12 survey sections, 29 survey categories, and 433 survey items, and the survey cycle was set for one year and three years for each survey item. Conclusions: Based on the objective statistical data through "The Survey on School Foodservice Program", it is possible to develop the school foodservice policy, which will help establish the reliability of the school meals.