본 연구에서는 경로당 기능 활성화를 위하여 서울시 소재 3,400여 개의 경로당 운영을 지원하는 경로당프로그램 관리자 를 대상으로 진행하던 표적집단면접(FGI)을 코로나19로 중단하 고, 개방형 질문지를 이메일로 주고받으며 얻은 질적 자료와 영역별 핵심 최우선 순위의 내용을 양적 자료로 재분류하고 병 행하여 분석하였다. 서울시 경로당프로그램 관리자 총 71명 중 68명이 참여한 본 연구의 질문지 구성은 질문 대상자에 대한 근무기간, 교육수준 등과 경로당 운영에 있어서 개선할 사항, 경로당 이용노인의 선호 프로그램, 경로당을 이용하는 주된 이 유, 경로당 활성화에 필요한 사항, 베이비부머 등 연소노인 유 입을 위한 필요조건 등 5개 영역별로 개방형 질문을 하였다. 연구결과, 경로당을 이용하는 주된 이유는 “점심을 동년배 친 구들과 이야기 나누며 함께 할 수 있어서”이며, 경로당 운영에 있어서 개선사항은 “공과금 내고 나면 점심식사 반찬값 부족… 집에서 반찬 가져오기도” 등 운영비 부족을 가장 많이 서술하 였다. 또 경로당 이용노인이 가장 선호하는 프로그램은 “노래교 실, 놀이화투, 건강안마” 등으로 나타났다. 매일 방문하고 싶은 경로당이 되기 위한 요건과 베이비부머 등 연소노인들이 이용 할 수 있는 필요 요인에 대한 서술은 모두 “프로그램실·식당 설치…낙후된 시설 리모델링해야” 등 시설 확장과 다양한 여가 복지프로그램이나 세대통합 프로그램 활성화를 최우선으로 서 술하였다. 이에 경로당이 지역사회의 통합돌봄 공간으로 점심 과 취미여가활동을 하는 낮시간대 가족공동체로 자리할 수 있 는 기초자료를 제시하고자 하였다.

본 연구는 와첩 구성경관에 관한 이론정립과 와첩 관련 경관의 설계와 연출 근거를 제공할 목적으로 시도되었다. 이를 위해 중국 하남성 신양시 향촌경관을 사례로 SBE-SD법을 결합하여 와첩 경관에 대 한 경관미를 평가하고 선호요인을 규명한 것이다. 연구결과 와첩 구성경관에 대한 반응은 대부분 인 구통계학적 특성에 관계없이 일관적인 심미성을 보였지만 거주지 속성에는 차이를 보였다. 예술과 문화가치는 와첩 구성경관의 경관미에 긍정적인 영향을 주는 반면에 평면구성 및 색채구성의 복잡도 는 오히려 경관미에 부정적인 영향을 미쳤다. 다중회귀분석을 통한 와첩 구성경관에 대한 선호요인 을 추적한 결과 지역의 장소성 구현이 와첩 경관 연출의 우선적 고려사항임이 밝혀졌다. 또한 주변 경 관요소에 부합되는 척도 구성은 와첩 구성경관에 대한 결정적 선호요인으로 작용하였다. 그리고 와 첩 구성경관이 대부분 근경의 경관요소로 작용하는 것과 관련하여 기와(瓦) 자체의 질감은 긍정적 선 호요인으로 드러났으나 색채의 풍부도나 다양한 색상의 경관 연출은 경관미에 부정적 영향을 미치는 것으로 확인되었다.

The construction industry stands out for its higher incidence of accidents in comparison to other sectors. A causal analysis of the accidents is necessary for effective prevention. In this study, we propose a data-driven causal analysis to find significant factors of fatal construction accidents. We collected 14,318 cases of structured and text data of construction accidents from the Construction Safety Management Integrated Information (CSI). For the variables in the collected dataset, we first analyze their patterns and correlations with fatal construction accidents by statistical analysis. In addition, machine learning algorithms are employed to develop a classification model for fatal accidents. The integration of SHAP (SHapley Additive exPlanations) allows for the identification of root causes driving fatal incidents. As a result, the outcome reveals the significant factors and keywords wielding notable influence over fatal accidents within construction contexts.

This study (1) explored spatio-temporal population distribution patterns in Jeonju by using emerging hot spot analysis and (2) identified the influential factors to determine the spatio-temporal patterns by using multinomial logit model. The major findings are as follows. First, the results of emerging hot spot analysis indicated that the 100*100m grid in the urban area of Jeonju was found to have a category of hot spots, whereas most of the cold spot series was concentrated in the outskirts of the city. Also, new towns such as Jeonju Eco City, Jeonbuk Innovation City, and Hyocheon District were persistent or intensifying hot spots, Third, the results of multinomial logit model revealed that the factors influencing deterrmining the spatio-temporal patterns were accessibility to schools, hospitals, parks, and walfare services. This study offered a deeper understanding of urbanization and regional changes in Jeonju, and important information for urban planning.

The air transport industry is experiencing unprecedented fluctuations in aviation demand through the Covid-19 pandemic, and is more focused than ever on maintaining and generating business profitability. During the pandemic, demand for air cargo has soared, and the conversion business from passenger aircrafts to freighters(P2F) is drawing attention as a new business in the aviation maintenance industry. This study derives important factors to be considered in order to successfully carry out the P2F project through a wide range of cases and related literature, and analyzes the relative importance of each factor using the analytic hierarchy process. Through a survey of 33 aviation maintenance experts with more than 20 years of field experience, the importance of main factors and their sub factors was determined and implications were drawn. As a primary result, in order to succeed in the P2F project, the main factors were identified in the order of skill, finance, and location. The most important sub factors for each main factors were identified in order of securing airframe modification skill, securing infrastructure construction cost, and creating P2F business complex and district. The quantified success factors suggested the critical direction for the successful development of Korea's P2F business, and presented viable and specific business strategies and implementation plans for each factors.

This study identifies the commercialization success factors that can be an important indicator for the transfer and commercialization of national R&D results in the agricultural sector. Unlike other industries, the agricultural sector has a non-systematically scaled and processed industrial structure, and R&D is led by government rather than the private sector. Although the quantitative performance of national agricultural R&D, especially the number of patents and publications, has increased rapidly with the quantitative expansion of the government R&D budget, the technology commercialization of the results of agricultural R&D has been accompanied by difficulties for SMEs. Therefore, this study summarized the success factors for commercialization of state-owned technologies presented in previous studies, and based on them, analysed the success factors for commercialization specific to the agricultural sector. It also conducted a questionnaire survey using Delphi and focus group interviews (FGI) with experts from academia, research and industry, and a survey of agricultural companies to derive success factors for commercialization in the agricultural sector using logistic regression analysis. As a result, five indicators with positive correlation and three indicators with negative correlation within technology characteristics, suppliers, adopters, policy and market factors were finally derived as key factors for agricultural commercialization. In the future, it is expected that independent factor analysis of the food and seed sectors, which have independent industry characteristics from the agricultural sector, will be needed.

본 연구에서는 코로나 이후 색조화장품 시장의 소비자들의 온라인 관심 정보에 대한 자료 수집 을 통하여 색조화장품 정보 검색의 특성과 텍스트 마이닝 분석 결과에 나타난 코로나 이후 색조화장품 시 장의 주요 관심정보들을 분석하고자 하였다. 실증분석에서는 “색조화장품” 이라는 단어를 포함하는 뉴스, 블로그, 카페, 웹페이지 등의 모든 문서들을 분석 대상으로 텍스트 마이닝을 수행하였다. 분석 결과 코로나 이후 색조화장품에 대한 온라인 정보 검색은 주로 구매 정보와 피부와 마스크 관련 화장법 등에 관한 정보 와 관심 브랜드와 행사 정보 등의 주요 토픽이 주를 이루고 있었다. 결과적으로 코로나 이후 색조화장품 구매자들은 적극적인 온라인 정보 검색을 통하여 제품 가치와 안전성, 가격 혜택, 매장 정보 등의 구매 정 보에 더욱 민감하게 될 것이므로 이에 대한 대응전략이 요구된다.

본 연구는 한국인 인구집단에서 폭식행동, 음식중독을 식별하고, 해당 증상들이 비만 및 섭식행 동, 정신건강, 인지적 특성과 어떠한 연관성을 보이는지 규명하고자 하였다. 이를 위하여 정상체중 및 비만 체중에 해당하는 한국인 성인 257명을 대상으로 섭식문제(예: 폭식, 음식중독, 음식갈망), 정신건강(예: 우 울), 인지기능(예: 충동성, 정서조절)에 관한 임상심리검사 척도를 측정하였다. 비만 여부와 성별에 따라 그 룹을 나누었을 때, 비만체중 여성에서 폭식행동이 46.6%, 음식중독이 29.3%로 가장 빈도가 높았다. 성향 점수 매칭 후 데이터로 독립성 검정을 수행한 결과, 폭식행동 및 음식중독이 비만체중 집단에서 정상체중 집단보다 더 많이 나타나는 것을 확인하였다. 또한 폭식행동과 음식중독 유무에 각 심리검사 척도 요인이 미치는 영향력을 파악하고자, 전진선택법을 적용한 로지스틱 회귀모델을 구축하였다. 로지스틱 회귀분석 결과, 폭식행동에는 섭식장애, 음식갈망, 상태불안, 정서조절(인지적 재해석) 및 음식중독이 주로 관여하였 고, 음식중독에는 음식갈망, 폭식행동과 함께 비만과 연령의 교호작용, 교육년수가 유의하게 작용하는 것으 로 나타났다. 본 연구는 한국인 성인을 대상으로 한 체계적 연구로서, 폭식행동과 음식중독이 여성 및 비만 인에서 특히 더 많이 나타남을 확인하였다. 폭식행동과 음식중독에는 일부 섭식문제(예: 음식갈망)가 공통되게 관여하나, 정신건강 및 인지적 위험요인에는 차이가 있었다. 따라서 음식중독과 폭식행동은 서로 구 별되는 개념으로 두고, 각각의 기질적·환경적 위험요인을 깊이 있게 탐구하는 것이 필요하다.

This study aims to analyze the income structure, cost structure, and profit structure based on data related to the business performance of the boat seine fishery from 1990 to 2020, and to identify the direct and indirect factors affecting fishery profitability through panel regression analysis. The main analysis results are as follows. First, it was found that fish catch has a significant amount of impact on fishery profitability, which is a key factor in improving the profitability of anchovy boat seine fishery. Second, it is necessary to develop carbon-reduced fishing gear, develop fleet-reduced fishing gear, and improve the operating system in order to increase fishery profitability for the short run. Third, it is necessary to create and maintain sustainable profitability for the long run, the continuous fishing vessels buyback program, an active responses to climate change, and the follow-up investigations about marine aggregate extraction in the south sea EEZ are needed.

In this research, we examined the shifts in determinants influencing the frequency of eco-friendly food purchases pre- and post-COVID-19. Our analysis utilized filtered 2019-2021 Consumption Behavior Survey data from the Korea Rural Economic Institute Food, excluding any irrational responses. Given the nature of the dependent variable, a multinomial logistic regression model was employed with demographic factors, variables pertaining to food consumption behavior, and variables concerning food consumption awareness as predictors. Following the onset of the COVID-19 pandemic, an individual's level of education was observed to positively influence the frequency of eco-friendly food purchases. In contrast, income level and fluctuations in food consumption expenditure did not appear to have a discernible impact on the purchasing frequency of such eco-friendly products. Irrespective of the advent of COVID-19, variables such as the frequency of online food purchases, the utilization of early morning delivery services, dining out frequency, and the intake of health-functional foods consistently demonstrated a positive correlation with the propensity to purchase eco-friendly foods. Overall, consumers prioritizing safety, quality, and nutrition over price, taste, and convenience in their procurement decisions for rice, vegetables, meat, and processed foods exhibit an increased inclination toward the acquisition of eco-friendly food products.

본 연구는 서울교육청 교육연구정보원의 「서울교육종단연구(SELS)」에 서 수집된 자료를 활용하여, 고등학생 3학년인 9차(2018년) 자료에서 학 생 2,793명을 연구 대상자로 정하였다. 청소년의 학교만족도와 관련한 예측요인을 확인하기 위해 SPSS 26.0을 사용하여 의사결정나무모형 분 석을 실시하였다. 연구결과를 살펴보면, 첫째, 청소년의 학교만족도의 분 류에서 개인적인 요인으로는 성별, 자아개념, 자기평가, 사회적 관계 요 인으로 보호자, 학교교사, 학교 특성/문화 요인으로는 학교에 대한 평가, 학교풍토가 유의한 변인으로 확인되었다. 둘째, 학교만족도 분류에 영향 을 주는 변인들 중에서는 학교에 대한 평가가 가장 영향력을 가진 변인 으로 나타났다. 셋째, 학교교사 수치가 높은 집단에서는 학교풍토, 자아 개념이 분류의 중요한 의미 있는 변인이었고, 학교교사 수치가 낮은 집 단에서는 자기평가, 학교풍토, 학교에 대한 평가가 영향력 있는 변인이었 다. 넷째, 학교에 대한 평가 수준 및 학교풍토가 바람직하고 좋으면 학교 만족도가 긍정적으로 상승하는 것으로 확인되었다. 본 연구결과는 청소 년의 학교만족도 증진을 위한 방안 모색, 교육정책 수립 및 프로그램 운 영에 도움이 될 것으로 사료된다.

This research was conducted to analyze the cultivation performance and meteorological data of winter rye in Suwon, Gyeonggi Province, and Daegu for 11 years. The objective was to compare the growth and yield of domestically cultivated Korean rye cultivar “Gogu” and identify the factors influencing them, to determine suitable cultivation areas for Korean rye cultivar in the country. The results of the study showed that both Daegu and Suwon regions possess favorable climatic conditions for winter rye cultivation, with Suwon exhibiting a superior moisture supply compared to Daegu. Furthermore, the analysis of climate suitability revealed that rainfall days and precipitation were significant factors affecting rye cultivation. Through correlation and principal component analysis, the research evaluated the interrelationship between climate, cultivation factors, and winter rye crop performance, as well as identified variations among winter rye cultivation regions. This study provides valuable insights and information for winter rye cultivation in the country, thereby assisting in the decision-making process for selecting optimal cultivation areas.

우리나라 100대 명산에 포함되고 천혜 자연환경을 갖추고 있지만 충청남도 내 휴양림 중 이용률이 저 조한 칠갑산자연휴양림을 연구대상지로 하여 휴양림 활성화와 재방문 의사를 높여 건강한 여가 활동 을 선도하는 운영‧관리 방안을 제시하고자 본 연구를 수행하였다. 칠갑산 휴양림 방문객 250명에게 총 101개로 구성된 설문지를 자기기입방식으로 배포하여 200부를 회수하였고 인구통계학적 특성 및 이 용행태, 재방문의사 결정 중요요인 간 상관관계와 미치는 영향 등을 알아보기위해 빈도분석, Varimax- 직각회전, Bartlett의 구형성 검정, 크론바흐 알파, 독립표본 t-검정, 일원분산분석, Scheffe’s 사후검증, Pearson상관관계분석, 다중회귀분석을 하였다. 연구결과 휴양림 방문객들의 이용만족도는 대체로 양 호하였지만 개선이 필요한 사항에 대한 질문에서 안전 및 환경에 대해 다소 부족한 것으로 나타났다. 제안 사항인 효율적인 운영·관리 방안으로 레크리에이션시설(등산학교·트레킹지원센터 등) 및 프로 그램(산림치유·숲해설 등)이 필요하다고 사료되며, 환경을 고려한 휴양림 내 추가 식재, 색다른 경관 환경(소규모정원 등)을 조성하여 특색 있는 휴양림으로 탈바꿈할 필요가 있다는 결론을 도출하였다. 따라서 본 연구에서는 건강한 여가활동 촉진, 휴양림 활성화 및 재방문의도 증대에 기여하기 위해 칠갑 산 자연휴양림에 필요한 중요 요인을 찾아서 제안하고 있다.

PURPOSES : This study aims to conduct a sensitivity analysis to determine the major factors affecting traffic accidents involving elderly pedestrians. METHODS : In this study, a regression tree model was built based on a non-parametric statistical model using data on traffic accidents involving elderly pedestrians. Using this model, we analyzed the degree of change in the probability of pedestrian fatalities. RESULTS : Results of the model analysis show that the first major factor combination affecting traffic accidents involving elderly pedestrians is speeding, night time, and road markers. The second combination is night time and arterial roads (national and local highways). The last combination that may lead to such accidents is heavy vehicles and federally funded local highways. CONCLUSIONS : Preventive measures, such as speed control, proper lighting, median strips, designation of pedestrian protection zones, and guidance of detours, are necessary to manage high-risk combinations causing accidents of the elderly.

PURPOSES : This study predicts the concentration of suspended road dust (PM10) by analyzing meteorological, traffic, and atmospheric environmental data acquired at various angles, and attains a comprehensive understanding of the influencing factors of suspended road dust. METHODS : Experimental field methods were applied and statistical analyses were conducted. Field experiments were conducted using a vehicle-based measurement of suspended dust (PM10) to measure its concentration at the measurement site while maintaining a constant driving vehicular speed. Statistical analysis demonstrated the effects of the concentration of suspended dust on changes in meteorological and environmental factors and lanes per traffic volume at the time of measurement. Finally, a multiple linear regression model was applied to identify the factors which affected the generation of suspended dust. RESULTS : The analysis of suspended road dust concentrations according to the lanes per traffic volume and environmental factors showed that suspended dust concentrations increased at increasing driving speeds. In addition, the background concentration at the monitoring station was higher at high-wind speeds (>3.0 m/s) than at low-wind speeds (<1.6 m/s), but the suspended dust concentrations were higher at low-wind speeds. During the temperature inversion period from evening to morning, the suspended effects of traffic and meteorological factors were greater than the background concentration at the station. Multiple linear regression analysis showed that excluding yellow-dust days, which are known to affect atmospheric pollution levels, the accuracy of the model improved and resulted in increases in background PM10, vapor pressure, sea-level pressure, visibility, after-rainfall time, and in decreases in insolation and precipitation during low-wind speed conditions. CONCLUSIONS : At low-wind speeds, 5 days after rain, and when the relative humidity was higher than 72%, suspended dust was found to be higher than atmospheric PM10 concentration and may increase at increasing driving speeds and section lane traffic volumes. However, the volume of measured data in this study is limited to determining the patterns of suspended dust, as the silt loading of the operational road or the effects of prominent variables were not considered in this study. However, we identified prominent factors related to road-suspended dust for real-time road-dust predictions.

PURPOSES : This study empirically analyzes the determinants of fatal accidents based on raw data on traffic accidents occurring in Chungnam in 2020. METHODS : Regression models based on theoretical arguments for fatal traffic accidents are estimated using a binomial logit model. RESULTS : The prediction model for fatal accidents is affected by the degree of urbanization of the region, month and day of the accident, type of accident, and type of law violation. In addition, speeding or illegal U-turns among law violations appear more likely to result in fatal accidents. The road surface conditions at the time of the accident do not show a significant difference in the probability of fatality among traffic accidents. However, the probability of a fatal accident is rather lower in case of a snowy road; this is plausible, as drivers tend to drive more carefully in bad weather conditions. CONCLUSIONS : Among traffic accidents, fatal accidents appear to be affected by the time and place of the accident, type of accident, and weather conditions at the time of the accident. These analysis results suggest policy implications for reducing fatal accidents and can be used as a basis for establishing related policies.

This study analyzed the determinants that affect the purchase of ready-to-cook seafood products using the “Consumer Attitude Survey on Processed Foods” from 2018 to 2021. Dietary lifestyle, food awareness and preference survey questions were categorized, and factors affecting the purchase probability of ready-to-cook seafood were identified through a binomial logit model. The main research findings are as follows. First, consumers had higher preference for quality, safety, and new taste factors than health and price factors when purchasing HMR (Home Meal Replacement). Second, through binomial logit model analysis, the probability of purchasing ready-to-cook seafood products was low in the group pursuing taste and economy. On the other hand, the purchase probability was high in the group seeking convenience. Third, the purchase probability of ready-to-cook seafood products was higher in households with two or more persons than in single-person households. These results suggest that differentiated product development and marketing strategies should be needed for each consumer groups in the seafood convenience food market

Global food prices have skyrocketed due to international uncertainties such as COVID-19 and the Russian-Ukrainian War. In this context, the importance of rural areas as a source of food production is also rapidly increasing. However, the issue of regional extinction is emerging as Korea faces the world's lowest fertility rate and fastest aging population. Also, rural areas are losing their population more rapidly than large cities. Therefore, this study aims to analyze the factors that can encourage the influx of fishermen to prevent the disappearance of these fishing villages. As a result of the analysis, in order to prevent the disappearance of fishing villages, among the infrastructure, natural environment, and residential environment variables, the ratio of aged housing related to quality of life, culture and amenities coefficients were found to have a greater impact than other variables. Based on these results, it is judged that it is necessary to establish a sufficient level of infrastructure in fishing villages and to prioritize policies for improving the residential environment.