• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.5
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• pp.1-14
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• 2020

The aim of this study is to analyze effects of factors on the number of vehicles involved in traffic accidents on freeway sections. In previous studies about traffic accident severity, the analysis of accidents involving multiple vehicles was insufficient. However, multiple-vehicle accidents are likely to cause casualties and are the main reasons increasing accident duration and social costs. In this study, the number of vehicles involved in an accident was interpreted as the result of the accident, not as the cause of the accident, and the impacts of each accident factor were analyzed using a multinomial logit model. The results indicate that multiple-vehicle accidents are mainly related to following factors: nighttime, driver's faults, obstacles on the road, a downhill slope, heavy vehicles, and freeway mainline sections including tunnels and bridges.

• Journal of Korean Society of Transportation
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• v.22 no.6
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• pp.7-16
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• 2004

In mode choice decision, travelers consider not only travel time but also reliability of its modes. In this paper, reliability was expressed in terms of standard deviation and maximum delay that were measured based on triangular distribution. In order to estimate value of time and value of reliability, the Multinomial and Nested Logit models were used. The analysis results revealed that reliability is an important factor affecting mode choice decisions. Elasticity is used to estimate the impacts of the different policies and system improvements for water transportation mode. Among these policies, decision maker can assess and select the best alternative by doing the benefit and cost analysis based on a new market share, the value of time, and the value of reliability. Finally, a set of promising policies and system improvement of the water transportation were proposed.

• Journal of the Korean Regional Science Association
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• v.9 no.2
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• pp.103-119
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• 1993

This research examines the spatial development of rural industrial estates (Nong-gong Jigu) in Chonbuk province and gives insight into the strategies for economic development in the entire region. Selected location factors which are likely to pull new investment into the estates are examined by using questionnaires. Few loction factors except nonlocal factors can be found in explaining why location choices are made. The irrelevance of the analysis based on location factors suggests that an alternative approach should analyze changes in the spatial development of the rural industrial estates. Such an alternative is to understand the dynamics of the spatial organization of production by focusing on characteistics of plant closing in the rural industrial estates. To take into account of the characteristics of plant closing we provide the hypothesized relationships between employment size, organizational structure, inter and intra industrial linkage, characteristics of production processes, and availability of local labor market and the likelihood of closing. A logit model is then made to identify the selected factors which might influence the probability of plant closing. The results from the logit analysis and their implications suggest that the policy should be more concerned with the characteristics of firms, such as size and ownership, as well as of the local labor markets. Given that the Chonbuk region has experienced rapid population decline, together with its poor industrial base, it seems that the success of the policy in the declined rural areas in less certain.

• The Korean Journal of Applied Statistics
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• v.22 no.5
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• pp.981-993
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• 2009

It would cause a serious problem in the panel data when panel attrition is concentrated on certain socioeconomic groups. Using the GOMS, this study investigates whether there exists non-random attrition bias in the data and seeks for feasible solutions to minimize the bias. The results of logit analyses show that panel attrition in the GOMS results mainly from surveying system but not from the surveyed. Therefore, the result suggests to develop well-organized management skill and systems as well as to construct weighting methods.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.2
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• pp.280-287
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• 2011

The purpose of this study is to analyze that ordinary housing stability policy determines the impact on housing prices. I got a conclusion such as the result next which carried out proof analysis for this. First, as a result of the Granger Causality Test, the house market of all areas appeared by affecting ordinary housing stability policy. Second, the shock reaction shows the reaction of the department (-) in all areas and ordinary housing stability policy appeared to be contributed to some extent house market stability. Third, as a result of having analyzed Logit Regression Analysis, ordinary housing stability policy appeared to considerable effects house market stability except Kangnam area of the Roh Moo-hyun government.

• 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.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.342-352
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• 2011

This study is to verify hypotheses about the efficacy and success factors of the IT Mentor project(in which 524 students participated) which is one of the most best practices in Korea. The empirical results found that all the aspects of students, industrial experts, professors, support programs and other infrastructure have certain influences on the industry-academia cooperation. In addition, logit regression model was employed to investigate the efficacy factors of industry and university's satisfaction to IT mentor system. It showed that industry's satisfaction depends on students' participation in company's projects and students' improvements of major competence.

• Physical Therapy Korea
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• v.14 no.1
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• pp.37-45
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• 2007

This study was designed to examine, applying Rasch analysis based on item response theory, the questionnaires of the Activities-Specific Balance Confidence (ABC) scale for the elderly. The subjects were 99 institutional older adults and clients of social welfare facilities. The subjects (17 men, 72 women) ranged in age from 65 to 94 years (mean age 76.5 yrs). The Winsteps software was used to assess whether the ABC scale fits the Rasch model, to estimate the score and to refine the rating scale. The results are as follows. Twenty-two subjects were excluded as misfit persons. Four items were found to be misfits and the order of difficulty of the remaining 12 items was rearranged. Their balance confidence is indicated by -.64~1.12 logit, and the transformation formula is score=[(logit score+2.76)/(2.76+3.48)]${\times}$100. The most difficult item was "Walk outside in icy sidewalks" and the easiest item was "Walk around house." In conclusion, the ABC scale for the elderly has been proven reliable and valid. Therefore, it is expected to be used as an effective examination tool for treatment planning and screening for older adults.

• Korean Journal of Agricultural Science
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• v.47 no.3
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• pp.553-565
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• 2020

This study did an empirical analysis using consumer survey data to determine whether Taiwanese consumers' preference for the Korean Wave affects their preference for Korean dried persimmons. There were 158 effective respondents used for the analysis, and the effects of the Korean Wave was estimated using ordered logit regression. The main results of this study were as follows. First, females more preferred Korean dried persimmons compared to men. Second, it was found that the housewife variable had a statistically significant positive effect at a significance level of 1% indicating that the degree of preference for Korean dried persimmons was higher compared to other occupations. Third, when the main place for purchasing dried persimmons was a department store or a large discount store, the analysis result showed a positive effect at a significance level of 1%. Finally, the Korean wave effect was found to have a statistically significant positive influence at a 1% significance level. In particular, it is worth noting that as the Taiwanese consumers' preference for the Korean Wave increased, the preference for Korean dried persimmons increased, which could be useful information for companies wishing to export Korean dried persimmon products to Taiwan. As a promotional plan for revitalizing Korean dried persimmons in Taiwan, conducting promotional events in conjunction with the Korean Wave, such as K-pop contests, and promoting persimmons that reflect Korean traditional culture should be considered.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.13 no.3
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• pp.85-97
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• 2005

The objective of this study is to investigate freight forwarders' airline choice behaviors in the Korean air cargo transportation market. This study identifies the major factors affecting airline choice and their relative importance by analyzing the data gathered by the survey from freight forwarders in Seoul. The questionnaire of the survey is composed of two parts; the first part is to identify the significant variables of airline choice and the second part is to gather the data about airline choice using stated preference techniques. The relative importance of major variables considered in forwarders' airline choice is estimated by the logit models calibrated with stated preference data. To strength the reliability of the analysis, this study segments the market by three routes; Seoul-Los Angeles, Seoul-Amsterdam and Seoul-Hongkong. The five major variables that are considered seriously in airline choice are reliability, space availability, frequency, cost and flight schedule. The utility trade-offs between variables are estimated by the ratio analysis of coefficients of logit model of each route, and the results of ratio analysis is interpreted as reflecting the reality of market conditions.