• Korean Journal of Childcare and Education
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• v.19 no.5
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• pp.65-79
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• 2023

Objective: The purpose of this study was to identify the importance and performance of the evaluation indicators of the childcare center evaluation system among childcare center staff and to find ways to improve the evaluation indicators of the childcare center evaluation system. Methods: A survey was conducted among 296 directors and teachers of childcare centers located in Busan and Gyeongnam. The collected data were analyzed using a paired sample t-test and an IPA analysis with SPSS 23.0 and Excel 2010. Results: There was a difference between the perceived importance and performance of childcare staff for the overall evaluation indicators, and significant differences were found in all areas and nine evaluation indicators except for "childcare environment and operation management". According to the IPA analysis, Health and Safety fell into quadrant 1, Staff into quadrant 2, and Child Care Process, Interaction, Child Care Environment, and Operations into quadrant 3. This distribution resulted in 6 indicators in quadrant 1, 4 in quadrant 2, 7 in quadrant 3, and 1 in quadrant 4. Conclusion/Implications: This study provides essential data for exploring ways to enhance the evaluation indicators of the childcare center evaluation system, with the goal of improving the quality of childcare services. Additionally, it offers policy implications.

• Journal of Korean Society of Disaster and Security
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• v.16 no.2
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• pp.1-13
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• 2023

As interest in urban safety has increased since COVID-19, various institutions have developed and used indicators that evaluate the safety city model. Yongsan-gu was ranked No. 1 in 2021 by Social Safety Index evaluation and was selected as the safest city in Korea. However, the Itaewon disaster in Yongsan-gu in 2022 caused many casualties. The study of indicators for evaluating cities' safety was necessary. This study aims to examine domestic and foreign safe city models and review the differences between each model and the indicators used to evaluate safe cities. As a result of collecting 11 safe city models and analyzing each evaluation index, safe city models can be classified into program-based safe city models, such as the World Health Organization's International safe community and the UN Office for Disaster Risk Reduction's International Safe city. Considering the diversification of threats to safety, it is reasonable to comprehensively consider digital security, health safety, infrastructure safety, personal safety, environmental safety, traffic safety, fire safety, crime safety, life safety, suicide, and infectious diseases when evaluating safe cities as evaluation parameters.

• Journal of the Korea Safety Management & Science
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• v.24 no.4
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• pp.41-47
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• 2022

A reliable prediction model of national occupational accident fatality rate can be used to evaluate level of safety and health protection for workers in a country. Moreover, the socio-economic aspects of occupational accidents can be identified through interpretation of a well-organized prediction model. In this paper, we propose a machine learning based relative comparison methods to predict and interpret a national occupational accident fatality rate based on socio-economic indicators. First, we collected 29 years of the relevant data from 11 developed countries. Second, we applied 4 types of machine learning regression models and evaluate their performance. Third, we interpret the contribution of each input variable using Shapley Additive Explanations(SHAP). As a result, Gradient Boosting Regressor showed the best predictive performance. We found that different patterns exist across countries in accordance with different socio-economic variables and occupational accident fatality rate.

• Journal of the Korean Society of Safety
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• v.35 no.4
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• pp.92-100
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• 2020

Along with the rapid development of industrial technology, the industrial structure has been continuously changed. Accordingly, safety technologies have been gradually developed to be applied into various industrial fields as well, not limited to a specific industry area. As a result, it became important to analyze and predict trends of safety technology development in order to establish technology strategies for industrial safety. In particular, since patents are easily accessible to gather the technology and business information, many studies have highlighted technology forecasting using patent information. Thus, this study proposes the patent analysis of monitoring trends of safety technologies of industry fields, taking into account both static and dynamic aspects through index and text analysis. First, patent documents containing safety-related keywords are collected from the WIPSON database for extracting technology information. Then, the development trends of safety technologies by industry fields are identified and analyzed through the analysis of indicators such as marketability, growth, and activation. The results of various indicator analyses of safety technologies are visualized to compare among industrial safety technologies for businesses and technology developers. Second, textmining algorithm is applied to identify trends of specific technology keywords of major industries extracted from patent index analysis. As a result, it is expected that the safety manager uses the patent analysis of safety technologies to provide safety technology information with safety-related companies and institutes. The extracted safety technologies are applicable to business practice and predict future promising technologies.

• Safety and Health at Work
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• v.12 no.4
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• pp.439-444
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• 2021

Background: In a previous study, we estimated exposure prevalence and the number of workers exposed to carcinogens by industry in Korea. The present study aimed to evaluate the optimal exposure intensity indicators of airborne lead exposure by comparing to blood lead measurements for the future development of the carcinogen exposure intensity database. Methods: Data concerning airborne lead measurements and blood lead levels were collected from nationwide occupational exposure databases, compiled between 2015 and 2016. Summary statistics, including the arithmetic mean (AM), geometric mean (GM), and 95th percentile level (X95) were calculated by industry both for airborne lead and blood lead measurements. Since many measurements were below the limits of detection (LODs), the simple replacement with half of the LOD and maximum likelihood estimation (MLE) methods were used for statistical analysis. For examining the optimal exposure indicator of airborne lead exposure, blood lead levels were used as reference data for subsequent rank correlation analyses. Results: A total of 19,637 airborne lead measurements and 32,848 blood lead measurements were used. In general, simple replacement showed a higher correlation than MLE. The results showed that AM and X95 using simple replacement could be used as optimal exposure intensity indicators, while X95 showed better correlations than AM in industries with 20 or more measurements. Conclusion: Our results showed that AM or X95 could be potential candidates for exposure intensity indicators in the Korean carcinogen exposure database. Especially, X95 is an optimal indicator where there are enough measurements to compute X95 values.

• International Journal of Naval Architecture and Ocean Engineering
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• v.11 no.1
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• pp.22-32
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• 2019

On offshore platforms, oil and gas leaks are apt to be the initial events of major accidents that may result in significant loss of life and property damage. To prevent accidents induced by leakage, it is vital to perform a case-specific and accurate risk assessment. This paper presents an integrated method of Ddynamic Qquantitative Rrisk Aassessment (DQRA)-using the Decision Making Trial and Evaluation Laboratory (DEMATEL)-Bayesian Network (BN)-for evaluation of the system vulnerabilities and prediction of the occurrence probabilities of accidents induced by leakage. In the method, three-level indicators are established to identify factors, events, and subsystems that may lead to leakage, fire, and explosion. The critical indicators that directly influence the evolution of risk are identified using DEMATEL. Then, a sequential model is developed to describe the escalation of initial events using an Event Tree (ET), which is converted into a BN to calculate the posterior probabilities of indicators. Using the newly introduced accident precursor data, the failure probabilities of safety barriers and basic factors, and the occurrence probabilities of different consequences can be updated using the BN. The proposed method overcomes the limitations of traditional methods that cannot effectively utilize the operational data of platforms. This work shows trends of accident risks over time and provides useful information for risk control of floating marine platforms.

• Journal of the Society of Disaster Information
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• v.18 no.1
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• pp.29-37
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• 2022

Purpose: The purpose of this research is to develop an evaluation index for reliable information provision and operation management of traffic safety facilities. Method: As for the analysis method, evaluation indicators were selected by grasping the current state of operation and management of traffic safety facilities, and the importance of each indicator was analyzed through the AHP survey. Result: As a result of the comprehensive importance analysis, it was found that the highest priority was given in the evaluation index for information accuracy and computer system construction. On the other hand, the evaluation index corresponding to the service management was analyzed as having the lowest priority. Conclusion: The results of this study are expected to serve as a yardstick for understanding the management level of each institution for efficient operation and management of traffic safety facilities, and it is expected to establish a foundation for providing accurate information in consideration of the commercialization of autonomous driving in the future.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.319-328
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• 2021

Purpose: Recently, a large social disaster has called for the need to diagnose social disaster safety, and the Ministry of Public Administration and Security calculates and publishes regional safety ratings such as regional safety index and national safety diagnosis every year. The existing safety diagnosis system uses equal intervals or normal distribution to grade risk maps in a uniform manner. Method: However, the equidistant technique can objectively analyze risk ratings, but there is a limit to classifying risk ratings when the distribution is skewed to one side, and the z-score technique has a problem of losing credibility if the population does not follow a normal distribution. Because the distribution of statistical data varies from indicator to indicator, the most appropriate rating should be applied for each data distribution. Result: Therefore, in this paper, we analyze the data of disaster indicators and present a comparison and suitable method for traditional equidistant and natural brake techniques to proceed with optimized grading for each indicator. Conclusion: As a result, three of the six new indicators were applied differently from conventional grading techniques

• Journal of Korean Society of Disaster and Security
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• v.6 no.1
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• pp.79-86
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• 2013

As car-oriented road policies have been made forward so far, relatively pedestrians' walking conditions are so in poor environments that more than two thousand pedestrians die from car accidents every year. Pedestrians' walking right has been severely invaded like that. Pedestrians' walking right is a right that people are able to walk safely and comfortably in pleasant surroundings as long as they don't threaten the public safety, order maintenance, and welfare. The government has an obligation to provide safe, comfortable, and pleasant environments to pedestrians. Recently interests in pedestrians' safety are increasing, government-driven supports have been made to make safe, pleasant, and healthy walking surroundings. As poor walking condition improvement projects cost high, they should be progressed to accomplish maximal effects using finite finances efficiently, and post feasibility evaluations of the projects should be severely estimated. However site selecting indicators which satisfy with the goal for composing safe working surroundings have not been decided yet, though currently it has a legal basis to specify walking condition improvement sites by the Law for Pedestrians' safety and Comfort Increasement. Therefore this study focuses on suggesting improved ways for selecting sites where pedestrians' safe environment project by reviewing previous research. When project sites are selected, evaluation indicators related to awareness survey of residents and history should be excluded, and disaster safety assessments for walking safety facilities, latent human hazards and natural disasters like a strong wind are proposed besides evaluations on pedestrians' safety and walking environment for matching with the purpose of the project to make safe working surroundings.

• Journal of the Korean Society of School Health
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• v.26 no.2
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• pp.104-113
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• 2013

Purpose: The aim of this study was to investigate prevalence and ecological characteristics of excessive television viewing among elementary school students in Seoul. Methods: Secondary data, representative sample of 11,082 subjects in Seoul was used. After prevalence of the excessive television viewing was identified by using factor analysis, 6 main factors explaining the ecological indicators was founded. After identifying prevalence of the excessive television viewing, by using factor analysis, we found 6 main factors explaining the ecological indicators. After categorizing factors into socio-psychological and lifestyle characteristics, we were investigated the odds ratio of excessive television viewing per characteristics by using multiple logistic regression. Results: The prevalence of excessive television viewing was 29.7% among the elementary school student in Seoul. The prevalence were higher in male, higher grade, and non-South of the Han River. Socio-psychological indicators which expressed excessive television viewing were annoying or bullying, scolding from teacher, depressed mode, thought for a runaway from home, an experience of diet, and negative body image. Life style indicators were a lower intake of fruit and vegetables, a higher intake of Ramyun and soft drink, a worse life style of hand washing, and wearing safety equipment. Conclusion: Lifestyle of television viewing was the comprehensive results from family, school, and society rather than a personal preference. Therefore, it is necessary to educate the hazard of excessive television viewing, to reenforce the students' health competence, to activate a safe leisure program as an alternate of television viewing, and to develop a recommendation.