• International Journal of Highway Engineering
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• v.11 no.4
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• pp.1-7
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• 2009

Traffic accident by aging drivers is expected to be on the rise rapidly as the number of aging drivers is rising along with the aging trend being progressed. In this study, traffic accident features depending on the classification of aging population and non aging one was evaluated. As a result of this evaluation, effect factors influencing over the aging population was found to be expressed differently from that of the non aging one. Odds ratio between the aging population and non aging one was evaluated through logit model and a model with potential accident probability of the aged drivers was developed. Accident risk of the aged drivers under the condition of curved road, cutting section and moistured road was revealed to be higher than that of the non aging population.

• The Journal of Fisheries Business Administration
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• v.54 no.1
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• pp.051-069
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• 2023

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.

• Safety and Health at Work
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• v.15 no.2
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• pp.200-207
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• 2024

Background: Workers are often exposed to hazardous heat due to their work environment, leading to various injuries. As a result of climate change, heat-related injuries (HRIs) are becoming more problematic. This study aims to identify critical contributing factors to the severity of occupational HRIs. Methods: This study analyzed historical injury reports from the Occupational Safety and Health Administration (OSHA). Contributing factors to the severity of HRIs were identified using text mining and model-free machine learning methods. The Multinomial Logit Model (MNL) was applied to explore the relationship between impact factors and the severity of HRIs. Results: The results indicated a higher risk of fatal HRIs among middle-aged, older, and male workers, particularly in the construction, service, manufacturing, and agriculture industries. In addition, a higher heat index, collapses, heart attacks, and fall accidents increased the severity of HRIs, while symptoms such as dehydration, dizziness, cramps, faintness, and vomiting reduced the likelihood of fatal HRIs. Conclusions: The severity of HRIs was significantly influenced by factors like workers' age, gender, industry type, heat index , symptoms, and secondary injuries. The findings underscore the need for tailored preventive strategies and training across different worker groups to mitigate HRIs risks.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.164-181
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• 2007

This paper empirically analyzes determinants of DTV (Digital Television) adoption in household survey data with IT-related household demand characteristics. To this purpose, we conducted a survey for the adoption of DTV to 1,000 households nationwide. In the questionnaire, various questions asking socio-economics characteristics such as age, education, income were included. Also, status of adoption and usage of IT services such as paid broadcasting, internet, and DVD were asked. To analyze the determinants of intention of purchasing, decision of purchasing, and the timing of purchasing DTV, we adopted the ordered logit, binary logit and multinomial legit models. When there is an order among groups, ordered logit was employed and when there is no orders among groups, multinomial logit was emplyed for the estimation. It is found that when conditions of other explanatory variable are constant, the more educated household heads are, the more probable they become early adopters of DTV. It is also found that other conditions being constant, the income level of households and IT-related household demand characteristics are very important factors affecting DTV adoption. Since the likelihood of purchasing DTV is much higher for those who know the government policy of analog broadcasting termination schedule than others who do not know, dissemination of the Korean government's digital broadcasting policy will affect significantly the adoption of DTV. And policy with various incentives ought to be employed to accelerate DTV adoption, because households with the older TV sets are more likely to purchase DTV. It is suggested that the Korean government should develop policy to connect both DBS (Direct Broadcast Satellite) and DTV since DBS subscribers are more likely to be an early adopter than non-subscribers.

• Korean Journal of Agricultural Science
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• v.39 no.3
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• pp.441-450
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• 2012

The object of this study is to establish proper consumer-oriented advertisement strategies of animal welfare egg. Data were collected by consumer survey on November 4th, 2011 at Hanaromart in Chunchon area. SAS 9.1 and Excel 2007 were used as statistical package and ranked logit model was used to analyze the data. From the results of the study the following advertisement strategies were suggested for animal welfare egg considering the effects of advertisement media. First, internet based media were most preferred. For effectively using the internet based media the message should be succinctly and clearly transferred to consumers. Therefore if phrases and pictures emphasizing the difference between animal welfare egg and general egg were used, then positive effects could be attained from consumers in a short period. Second, advertisement media should be used differently based upon the consumers' income level. In the case of consumers under three million won income level the advertisement in the purchasing site was most effective regarding the advertisement effects. Therefore if the advertisement showing the breeding surroundings between animal welfare egg and general egg was used, positive effects could be attained. For consumers over three million won income level the homepage of egg producers was most effective in advertisement. So if more accurate information were distributed to consumers visiting the homepage and high quality egg were sold via the homepage, positive effects could be attained.

• Journal of Korean Society of Transportation
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• v.28 no.6
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• pp.43-54
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• 2010

In recent years there have been studies on tour based approaches for freight travel demand modelling. The purpose of this paper is to analyze tour type choice behavior of commercial vehicles which are divided into round trips and chained tours. The methods of the study are based on the decision tree and the logit model. The results indicates that the explanation variables for classifying tour types of commercial vehicles are loading factor, average goods quantity, and total goods quantity. The results of the decision tree method are similar to those of logit model. In addition, the explanation variables for tour type classification of small trucks are not different from those for medium trucks', implying that the most important factor on the vehicle tour planning is how to load goods such as shipment size and total quantity.

• Journal of Labour Economics
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• v.23 no.2
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• pp.127-151
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• 2000

The empirical study that used the logit model and the Heckman's selection bias model based upon 'Korea Labor & Income Panel Study' shows that the experience of job training has a positive effect on the probability of employment, as well as on the wage increase. The analysis also sheds light on the effect on employment with wage workers who experienced job training. When the discouraged unemployed are not classified as labor force participants, that is the unemployed, and the industrial dummy variables are excluded, logit estimation shows that training program in the public sector, not in the private sector, significantly increases their employment probability. However when these same workers are classified as the unemployed and the industrial dummies are included, logit estimation shows that public and private training programs has no effect on their employability.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.373-380
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• 2013

Recently, AR(Augmented Reality) system as an information technology for the increased access of information has a potential possibility of next generation's system for tourism guide. In this regard, the objective of this study is to explore the technology acceptance factors of AR system on tourism destination. To achieve the objective of this study, logit regression model was used to analyze the influential level of the factors. This study was analyzed with the final 224 respondents and the results showed that if there will be assured with high trust and easy access via mobility device as smartphone, the AR system has the possibility of high acceptance level. The result of this study will be expected to be utilized as fundamental data from the viewpoint of the service providers and system developers that want to launch the appropriate service to users' needs of AR system.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.1
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• pp.147-157
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• 2013

This study developed the transit transfer mode choice model aimed Daegu transit users using multinomial logit model. Dependent variables of estimating multinomial logit model were transit transfer modes such as bus to bus, bus to subway, subway to subway, bus to others, and subway to others, and explanatory variables which affect transit transfer mode choice were sex, age, occupation, handicap, transfer area, purpose of travel and travel time. Also probability regarding explanatory variables was estimated using multinomial logit model and limit marginal analysis was carried out according to explanatory variables(cost, time). In the results, indicating goodness of fit is very reasonable as ${\rho}^2$=0.354. According to the result of marginal analysis for the selection of probability, when travel time is increased, users of bus to bus and bus to subway prefer to use subway to subway. Furthermore users of bus to bus and bus to subway prefer to use bus to others and subway to others when travel cost is increased in the result of marginal analysis for the selection of probability.

• Journal of Family Resource Management and Policy Review
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• v.14 no.1
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• pp.135-159
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• 2010

The purpose of the study was to investigate the characteristics and economic status of deficit households compared to surplus households. Data from The Household Income and Expenditure Survey 2005 by NSO and 50, 207 salary/wage earners' households were used for the analysis. The statistical methods used were GLM, logit, and cluster analyses. The analysis results showed that 25.3 percent of the households were deficit households. Approximately half of the lowest 20% income group were deficit households. Income deficit households earned 1, 273 thousand less than that of surplus households, whereas consumption of deficit households was 1, 006 thousand more than that of surplus households. The average propensity of consumption of deficit households was 142.1. According to the logit analysis, factors contributing to the probability of belonging to a deficit household included income level, household size, age and educational level, occupation, homeownership, car ownership, and wife's employment status. Deficit households were classified into 5 types: 1) health care expenditure-dominated group, 2) housing expenditure-dominated group, 3) education expenditure-dominated group, 4) money transfer-dominated group, and 5) overall-overconsumption group. The overall-overconsumption group was the largest group of all at 58.5%. It was found that for all five groups, the changes in household size, income group, home ownership, and occupation of the individual were variables that influenced the probability of belonging to a certain group.