• Journal of Korea Trade
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• v.27 no.3
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• pp.119-146
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• 2023

Purpose - As the severity of air pollution caused by the shipping industry is becoming evident, port authorities have started making efforts to reduce air pollutants. Considering the limitations of the currently implemented emission-control area (ECA) and vessel-speed reduction program (VSRP), which are narrow in the designation range and navigation behavior of ships, this study proposes an emission-control route (ECR) that can complement the aforementioned two environmental policies. Design/methodology - This study was conducted on Korea-China trade service routes (ports of call) of regular liners. This study employed vessel-specific data, which is from an automatic identification system (AIS), for 1,728 maritime transportations performed by 387 container vessels during one year (July 1, 2021, to June 30, 2022). Performing a scenario analysis, this study analyzed the effectiveness of reduced air-pollutant emissions. Findings - This study found that the implementation of ECRs could increase average voyage time by 12.38%-25.28% but reduced air-pollutant emissions by 29.02%-43.54%. Additionally, the increase in average voyage times reduces the anchorage time of ships outside ports, providing an incentive for ship operators to voluntarily participate in compliance with regulations, thereby contributing to the establishment of a virtuous cycle of air-environmental policies related to ships. Originality/value - This study aims to verify the policy effectiveness by designing an ECR scope for liner trade routes between Korea and China. Therefore, originality and the value of this study includes conceptualizing the ECR system, analyzing its environmental performance, and exploring new policies that can be implemented while complementing existing policies.

• Management & Information Systems Review
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• v.38 no.3
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• pp.21-34
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• 2019

It is a very important task for managers to motivate employees who work at service encounters where interaction with customers is important. The purpose of this study is to propose the trust of supervisor and supervisor's expressions as factors that can enhance or strengthen employees' prosocial behavior. Hierarchical regression analysis was used for this purpose. The results and implications are as follows. First, trust toward supervisors appeared to be a factor to improve employees'engagement. Second, job engagement has a positive effect on prosocial behavior of employees, that is, customer oriented behavior and organizational citizenship behavior. Finally, this work confirmed the moderating effect of the supervisor's gratitude expressions in the relationship between trust toward supervisor and job engagement. Research on gratitude in the marketing field is still in its infancy, and previous researches are focused on business and consumer relations. Expressing gratitude can be a natural tendency. This study suggests that gratitude expression should be introduced as part of organizational culture.

• Culinary science and hospitality research
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• v.23 no.6
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• pp.36-46
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• 2017

In this study, the influence of the life style on the HMR purchasing behaviors and repurchasing intents and the purchasing behavior on the repurchasing intent were examined in order to provide the basic data for developing competitive HMR product and invigoration of marketing. As results, of the life style factors, the health affected the quality, the taste the convenience and safety, and the economy the convenience, and the convenience the quality, and the safety the safety, significantly. Of the life style factors, health affected the repurchasing intentions negatively, while taste affected the repurchasing intent positively. Of the HMR selection properties, quality, convenience, and safety all affected the repurchasing intent positively. It can be conducted from the study that it is necessary to develop a strategy to enhance the quality and safety of the HMR and enhance the taste and economy of the HMR products for the taste and economy-oriented customers. When developing a new HMR product, the development and formulation of the strategy for quality, convenience, and safety and the overall strategy that covers from production, logistics, sales, and promotion, are supposed to be well established and discussed.

• The Korean Journal of Health Service Management
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• v.8 no.4
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• pp.69-80
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• 2014

This study examines the relationship between recuperation nurses' oral health knowledge and perceptions and senile denture management behavior. For this study, 198 recuperation nurses who work in recuperation facilities for elderly patients in Andong City, Gyeongsangbuk-do, are surveyed. The data are investigated statistically using t-test, ANOVA, Pearson's correlation analyses, and logistics regression analyses. The analyses results demonstrate that the rate of correct answers for oral health knowledge of recuperation nurses is 76.5%. The relationship between oral health perceptions and oral health knowledge is 0.324, which is slightly high correlation(p<0.01). In addition, the potential of senile denture management behavior is more likely among nurses who have high levels of oral health knowledge and perceptions. Therefore, it is necessary to explore measures that can promote denture management and oral health for the elderly who enter recuperation facilities through helping raise the level of recuperation nurses' oral health knowledge and perceptions.

• Journal of Korean Society of Transportation
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• v.36 no.3
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• pp.169-183
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• 2018

Aggressive driving leads to a greater crash potential because it threatens surrounding vehicles. This study conducted traffic simulation experiments using driving behavior data obtained from multi-agent driving simulations. VISSIM traffic simulator and surrogate safety assessment model (SSAM) were used to identify the impacts of aggressive driving on traffic stream in terms of safety and operational efficiency. Market penetration rates (MPR) of aggressive driving vehicle, coupled with various traffic conditions, were taken into consideration in analyzing the impacts. As expected, it was identified that aggressive driving vehicles tended to deteriorate the traffic safety performance. From the perspective of operational efficiency, interesting results were observable. Under level of service (LOS) A, B, and C, it was observed that the average travel speed increased with greater MPRs. Conversely, the average travel speed decreased with under LOS D and E conditions. The outcome of this study would be effectively used for developing safety-related policies for reducing aggressive driving behavior.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.132-145
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• 2022

This study was based on the black box images of traffic accidents on highways, cluster analysis and prediction model comparisons were carried out. As analysis data, vehicle driving behavior and road surface conditions that can grasp road and traffic conditions just before the accident were used as explanatory variables. Considering that traffic accident data is affected by many factors, cluster analysis reflecting data heterogeneity is used. Each cluster classified by cluster analysis was divided based on the ratio of the severity level of the accident, and then an accident prediction evaluation was performed. As a result of applying the Logit model, the accident prediction model showed excellent predictive ability when classifying groups by cluster analysis and predicting them rather than analyzing the entire data. It is judged that it is more effective to predict accidents by reflecting the characteristics of accidents by group and the severity of accidents. In addition, it was found that a collision accident during stopping such as a secondary accident and a side collision accident during lane change act as important driving behavior variables.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.4
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• pp.94-109
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• 2024

As autonomous vehicles are allowed to drive on public roads, there is an increasing amount of on-road data available for research. It has therefore become possible to analyze impacts of autonomous vehicles on traffic safety using real-world data. It is necessary to use indicators that are well-representative of the driving behavior of autonomous vehicles to understand the implications of them on traffic safety. This study aims to derive indicators that effectively reflect the driving stability of autonomous vehicles by analyzing the driving behavior using the Waymo Open Dataset. Principal component analysis was adopted to derive indicators with high explanatory capability for the dataset. Driving stability indicators were separated into longitudinal and lateral ones. The road segments on the dataset were divided into four based on the characteristics of each, which were signalized and unsignalized intersections, tangent road section, and curved road section. The longitudinal driving stability was 35.48% higher in the curved road sections compared to the unsignalized intersections. With regard to the lateral driving stability, the driving stability was 76.08% higher in the signalized intersections than in the unsignalized intersections. The comparison between curved and tangent road segments showed that tangent roads are 146.87% higher regarding lateral driving stability. The results of this study are valuable for the further research to analyze the impact of autonomous vehicles on traffic safety using real-world data.

• Journal of the Korea Safety Management & Science
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• v.18 no.3
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• pp.55-62
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• 2016

The purpose of this study is to understand how to affect the safety behavior to the organization's trustees to investigate the level of safety awareness, safety awareness via the distribution center workers prepare the logistics industry disaster prevention measures. The survey was analyzed data to target by the clothing distribution center employees of 182 people. Analysis First, the level of safety awareness showed on a positive effect on organization trust. Second, it was found on the safety level of consciousness a positive effect on the safety behavior. Third, the level of safety awareness affect the safety behavior showed that the mediating role of organization trust. That is a higher level of safety awareness, such as the strict practice of business activities, investments, safety rules on safety education and training emphasis on safety increases confidence in the organization. It was confirmed the higher the confidence in the safety organization appears behavior such as actively participating in the work carried out in a safe manner, safety education and training. In addition, the effect was mediated by the organizational impact on confidence in the safety of personnel safety awareness actions. Based on that research results prepared safety awareness was raised through the industrial accident prevention measures.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.2
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• pp.87-97
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• 2018

Bus, a major transportation mode, doesn't have a systematical evaluation system for dangerous driving behavior yet. This paper analyzes the characteristics and pattern of bus driving behavior using Digital Tacho Graph(DTG) data on express bus. 8 types of dangerous driving behavior were considered according to timeslot, the day of week and weather condition. As results, rapid acceleration, rapid left right turn and rapid deceleratio accounted for more than 97% and relatively high percentages were shown in dawn, on Friday and on the clear day, respectively. From the statistical analysis, correlation between the dangerous driving types and difference according the timeslot were found, and 3 groups considering the level of the dangerous driving were suggested. This study contributes to setting an efficient and reliable eduction system for using driving simulators.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.101-108
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• 2019

Family tourism has become the mainstream demand of the tourism market, and it is also an effective way to obtain happiness. This paper takes family tourists as the research object, takes the family tourism family affection interaction behavior and the experience value relationship as the link, Empirically tests the family tourism "interaction behavior-social support-experience value" conceptual model and the relationship hypothesis. The results showed that interaction of family affection had a positive and significant effect on the functional, cognitive and emotional experience value of family tourists. Family interaction in family tourism has a significant positive impact on social support. Social support has significant positive effects on functional, cognitive, emotional and overall experiential values. This conclusion expands the theoretical and empirical research on the relationship between interaction behavior and experience value, and provides a basis for understanding the interaction behavior and experience value of family love from the perspective of tourism experience essence.