• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.841-851
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• 2019

This study presents risk ranking by accident types at intersections, crosswalk and tunnel sections. An ordered logit model was used to estimate the accident severity of traffic accidents based on 58,868 accident records that have occurred on the Seoul and Gyeonggi-do over the period 2014-2017. The factors affecting the injury severity were identified by the estimated model first, and risk ranking was proposed according to conditions of accident occurrence using relative ratio analysis later. The analysis results showed that the injury severity dramatically depends on the location and time of the accident. The analysis results showed that the injury severity dramatically depends on the location and time of the accident. Furthermore, there are severe injury cases in terms of the injury severity despite the small number of occurrence of traffic accident, or there are severe injury cases in terms of the injury severity despite the high frequency of occurrence of traffic accident.

• Journal of Distribution Research
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• v.16 no.3
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• pp.105-133
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• 2011

Short Abstract: This study investigates the effects of price and other variables on consumers' purchasing decision for eco-friendly foods. This study pays particular attention to the effect of price that may influences consumers' decision to buy eco-friendly foods. The empirical findings are summarized as follows. First, the descriptive results of the survey show that "detailed explanation for the products," "distribution channel," "reliability of the labeling for eco-friendly foods" are more important than price and other factors. Second, the ordered logit analysis vindicates that such situational factors as number of children and existence of patient in the family are the most important variables to explain the degree of satisfaction level when considering the price level of eco-friendly foods. Finally, the results of the conjoint analysis indicate that consumers regard distribution channel as the most important factor, and reliability of labeling system and level of price position second and third, respectively. The present study concludes with suggesting some policy implications and directing future studies.

• Journal of the Korean Data and Information Science Society
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• v.17 no.1
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• pp.187-193
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• 2006

This paper shows how to use continuation-ratio logits for the analysis of structured polytomous data. Here, response categories are considered to have a nested binary structure. Thus, conditionally nested binary random variables can be defined in each step. Two types of factors are considered as independent variables affecting response probabilities. For the purpose of analyzing categorical data with binary nested strutures a continuation-ratio mixed model is suggested. Estimation procedure for the unknown parameters in a suggested model is also discussed in detail by an example.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4328-4336
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• 2011

The aim of this study is to find changes of the attributes that influence the purchase of cut roses during recent five years(2007~2011) and suggest some implications on ways to promote cut roses marketing. For this purpose, a survey was conducted through the Internet among 1,100 randomly chosen people living in Seoul, Inchon and Gyeonggi Province in 2011. A total of 1,023 valid replies were received for the analysis of the survey which was carried out by the subsidiary consulting firm. The survey panels and estimation models to analyze changes of consumers' preference attributes during recent five years are same to them of Kim, et al.(2007). That is, empirical analysis tools such as ordered probit model, multinomial logit model, and conjoint analysis were used according to Kim, et al.(2007). This paper suggests several policy implications to set up the target market of cut roses and marketing mix strategy to specify the best 4P(product, price, place and promotion).

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.133-144
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• 2012

This study focused on estimating influential factors of traffic accidents and analyzing traffic accident severity of elderly and non elderly using traffic accident data. In order to reclassify elderly and non elderly traffic accident by a statistical method from entire traffic accident data, multiple discriminant analysis was applied. Also ordered logit model was applied for analyzing traffic accident severities using traffic accident severities as an independent variable and transportation facilities, road conditions and human characteristics as dependent variables. As results of the comparison between elderly and non elderly traffic accident, the traffic accident severity was affected by the age, types of traffic accidents, human characteristics and road conditions as well. Also, transportation facilities and road conditions affected to more elderly traffic accident than non elderly. Therefore, traffic accident severity would be decreased with the improvement of transportation facilities and road conditions for the elderly.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.119-130
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• 2020

The proportion of non-farm income among farm household income is over 40%, with the main source coming from the sixth industry. While it is important to understand consumers' preferences to revitalize the sixth industry, the majority of research is focused on producers. Therefore, this study used an Ordered Logit Model to analyze consumer awareness and satisfaction with the 6th industry. As a result, first, the analysis showed that awareness of the sixth industry was generally low, and that the perceptions of gender and regions were different. Second, there were various ways to learn about the sixth industry through media reports, portal searches, and SNS. Third, factors affecting the recognition of the sixth industry were shown to have statistically significant effects on demographic and sociological variables such as age, marriage type, occupation, residential area, and income. This study is the first to analyze the awareness and satisfaction of the sixth industry from the consumer's point of view focusing on its revitalization.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1508-1535
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• 2018

Employment in enterprises is a consecutive decision-making process based on the results of their innovative activities and it is necessary to consider this relationship as well explicitly in an analysis of the employment performance through technological innovation. Based on this critical mind, this study would analyze the structural relationships among enterprises' innovative activities, the performance of technological innovation, a compensation system and the creation of employment, reflecting the correlation of the process of the actual technology management performed simultaneously, utilizing the seemingly unrelated regression(SUR) model to estimate a simultaneous equation in addition to analyzing the relationship between technological innovation and the effect on employment with the ordered logit model to estimate a single equation as in the preceding studies. As a result of the analysis, a structural relationship could be found out, in which the execution of the compensation system would increase the performances of technical development and technology commercialization, which in turn, accelerates enterprises' employment. Especially, it is judged that enterprises' employment performance increases when technological innovation is managed from a process perspective in that the commercialization performance, as well as technical development, acts as a kind of hurdle in the effect on employment.

• Korean Journal of Agricultural Science
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• v.47 no.1
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• pp.95-104
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• 2020

The Ministry of Agriculture, Food, and Rural Affairs is currently pushing forward policies targeting the Rural Convergence Industry initiative to incubate the front-runners of the '6th industry', to increase off-farm income, to create rural jobs for elderly, and to create women-based farms. As a result, in 2017, a total of 11,604 Rural Convergence Industries were in business, and the goods produced from those industries were diverse. However, the quality and safety of those products are not being checked and managed thoroughly, which has caused consumers to not trust products made from the Rural Convergence Industries. Through a survey and the ordering logit model, this study analyzed consumer perception of the safety and quality of goods from the Rural Convergence Industries. The analysis revealed that we must first raise awareness of the importance of rural agriculture areas and the products of the Rural Convergence Industries to uplift consumer perceptions regarding the products produced by the industries. The analysis also revealed that diverse points of distribution (sellers), education on the importance of rural and urban areas, and marketing Rural Convergence Industry products within suburban consumer populations are necessary to increase the consumption of these products.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4877-4883
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• 2012

As a basic research for revitalization of cycling that is emerging as a means of green transportation, this study aims to analyze the impact of neighbourhood environmental factor perceived by the local residents on cycling satisfaction as the concern for energy and environmental issues is increasing. For this, a survey was conducted through a questionnaire to the residents in Sangju-si and the impact of the perceived neighbourhood environmental factor to cycling satisfaction with ordered logit model was analyzed. The result showed that the factors such as quality of bicycle lane, quality of bicycle conveniences, accessibility of major conveniences, safety of cycling and amenity of street made a significant impact on cycling satisfaction. Based on such result, this study suggested the considerations to be made in designing a cycling environment.

• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.101-115
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• 2008

This study reports UTIS(Urban Traffic Information System), which has been generalized in developed countries through brisk research and development and is being promoted for introduction by National Police Agency and Road Traffic Authority to reduce the astronomical amount of social expenses including traffic congestion expenses. Also this study investigates the proper charges for using by the preestimate of demand and contentment according to methods of payment after the service is introduced. The results of this study are as follows. First, demand forecast model is constructed by Binary Logit Model. Second, forecast models of using aspects of UTIS service according to methods of payment are established by Ordered Probit Model. Third, the proper charges for using of UTIS service according to methods of payment are presented to the supplier in the aspects of users. For this, preferences by using aspects and methods of payment are captured. And unit elasticity of coefficient of utilization is understood through responsiveness analysis according to methods of payment.