• Journal of Korean Society of Transportation
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• v.27 no.3
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• pp.119-130
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• 2009

The aim of this study is to analyze the effects of DVR(Driving Video Recorder) operation on decreasing the number of traffic accidents, the cost of traffic accident claim, and the behavioral change in drivers' driving. The data for this research are obtained from taxi drivers in Busan. For this, Structural Equation Model and two-way ANOVA are employed for empirical analysis. Overall results of this study show that the number of traffic accidents of 4 taxi corporations in Busan has decreased by average 32.7 percent after using DVRs. In addition, as to the cost of taxi accident claims, it is expected that the DVR operation has a considerable effect on economic benefits of taxi corporations. Moreover, this study could make clear the difference in behaviors between DVR users and non-users, and discriminate the positive and negative impacts of the DVR operation on the drivers' driving behavior. The study quantitatively examined the indirect impact of 'attitude', 'subject norm' and 'behavioral control' factors on planned 'behavior', and the direct impact of 'behavioral control' factor on the planned 'behavior'. This study suggests that they should add the video recoding function of DVRs when operation recorder(blackbox for the car) is obligatorily set up on cars for business by traffic security law.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.7
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• pp.1111-1119
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• 2022

Tourism projects through islands in the waters of Sinan-gun became active, and as a result, a total of 13 marine bridges connecting islands were completed. However, the marine bridge constructed in the fairway is dangerous for traffic. Particularly, in the case of the marine bridge connecting two islands, the width of the fairway is extremely narrow, therefore the risk is higher. In this study, we evaluated the risk of collision between marine bridge piers and ships using the IALA Waterway Risk Assessment Program (IWRAP), a risk assessment model for port waterways, based on a maritime traffic survey on the coastal bridge in Sinan-gun. The results, indicated that No.1 Sinan bridge had the highest probability of collision and most of the transit ships were coastal passenger ships. In addition, No.1 Sinan bridge was the place where the most collision accidents occurred among the marine bridge piers in the target sea, and the cause this study was analyzed. An analysis of the satellite images of the sea environment of No.1 Sinan bridge using an image processing method, confirmed that obstacles that could not be seen in the chart existed nearby the bridge. As a result, traffic was observed to be concentrated in one direction, unlike two-way traffic, which is a method of inducing traffic of bridges to avoid obstacles. The risk cause analysis method using the image processing technique of this study is expected to be used as a basic research method for analyzing the risk factors of island bridge in the future.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.29 no.1
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• pp.213-221
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• 2005

In the present maritime traffic conditions of Gwangyang harbor, there exists many hazardous factors which may lead to huge accidents including marine oil pollution. To mitigate the danger to vessels in Gwangyang harbor and to secure the safety of maritime environment, we established one way traffic between No.3 Route and No.4 Route, Designed of deep water line on No.3 route, Extended one-way route for Myo-Do Passage etc.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.4
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• pp.25-35
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• 2008

Variable Message Sign(VMS) is one of the subsystem of Intelligent Transportation Systems (ITS), which is useful for providing real-time information on weather, traffic and highway conditions. However, there are various situations such as incidents/accidents, constructions, special events, etc., which would be occurred on segments, it is unable to control traffic with only the VMS. Thus, it is essential to use of PVMS(Portable Variable Message Signs), which can move to the location needed traffic control and provide more active traffic information than VMS. This study developed a legibility distance model for PVMS messages using in-vehicle Differential Global Positioning Data(DGPS). Traffic conditions, drivers' characteristics, weather conditions and characteristics of PVMS message were investigated for establishing the legibility model based on multiple linear regression analysis. The factors such as height of PVMS characters, spot speed, age, gender and day and night were identified as dominants affecting the variation of legibility distances. It is expected that the proposed model would play a significant role in designing PVMS messages for providing more effective real-time traffic information.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.7
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• pp.257-262
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• 2021

Accidents caused by black ice occur frequently every winter, and the fatality rate is very high compared to other traffic accidents. Therefore, a systematic method is needed to predict the black ice formation before accidents. In this paper, we proposed a black ice prediction model based on heterogenous and multi-type data. To this end, 12,574,630 cases of 46 types of land, infrastructure, transport public data and meteorological public data were collected. Subsequently, the data cleansing process including missing value detection and normalization was followed by the establishment of approximately 600,000 refined datasets. We analyzed the correlation of 42 factors collected to predict the occurrence of black ice by selecting only 21 factors that have a valid effect on black ice prediction. The prediction model developed through this will eventually be used to derive the route-specific black ice risk index, which will be utilized as a preliminary study for black ice warning alart services.

• Journal of the Korea Safety Management & Science
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• v.10 no.4
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• pp.65-72
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• 2008

The Manchester Driver Behavior Questionnaire (DBQ) is the most commonly used frameworks for investigating the relationship between self-reported driving behavior and accident involvement. After Reason et al. introduced DBQ, there were many studies replicating the research of Reason et al. in many countries. There was, however, no study replication of the Reason's research in Korea. The aim of this study is to replicate the distinction among errors, lapses and violations, and to evaluate the relationship of these behaviors with road traffic accidents on Korean drivers. 223 Korean drivers completed the Korean version of original DBQ with questions regarding background information, such as age, gender, annual mileage and accident involvement. Participants answered self-assessment questions, also. Factor analysis revealed three factors like Reason et al. The three factors were dangerous errors, violations and relatively harmless errors.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.274-282
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• 2022

In order to secure pedestrians' right to walk, we have up-cycled second hand mobile phones to overcome limitations of the existing survey methods, analysis methods, and diagnosis to reduce pedestrian traffic accidents. Second hand mobile phones were up-cycled to produce mobile CCTVs and installed in areas where pedestrian deaths rate is high to secure image data sets for the period of more than 24 hours. It was analyzed by applying image visualization technology and clouding reporting technology, and more precise and accurate results were derived through modeling based on artificial intelligence learning and GIS-based diagnostic guidance. As a result, it was possible to analyze the risk factors and number of pedestrian safety, and even factors that were not known in the existing method could be derived. In addition, the traffic accident risk index was derived by converting data into one year to verify whether second hand mobile phone up-cycling mobile CCTV will be an objective tool for finding pedestrian risk factors. Up-cycling mobile CCTV of second hand mobile phones newly applied through research can be used as a new tool to find pedestrian risk factors, and it can be used as a service to protect the safety of the traffic vulnerable other than pedestrians.

• Journal of Korean Society of Transportation
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• v.21 no.4
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• pp.133-144
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• 2003

The current procedure of estimating accident reduction benefit shows fixed accident rates for each level of roads without considering the various characteristics of roadway geometries, and traffics. In this study, in order to solve the problems mentioned in the above, models were developed considering the characteristics of roadway alignments and traffic characteristics. The developed models can be used to estimate the accident rates on new or improved roads, In this study, only urban highways were included as a beginning stage. First of all. factors influencing accident rates were selected. Those factors such as traffic volumes. number of signalized intersections, the number of connecting roads, number of pedestrian traffic signals, existence of median barrier, and the number of road lane are also selected based upon the obtainability at the planning stage of roads. The relationship between the selected factors and accident rates shows strong correlation statistically. In this study, roads were classified into 4 groups based on number of lanes, level of roads and the existence of median barriers. The regression analysis had been performed for each group with actual data associated with traffic, roads. and accidents. The developed regression models were verified with another data set. In this study, in order to develop the proposed models, only data on a limited area were used. In order to represent whole area of the country with the developed models. the models should be re-analyzed with vast data.

• Journal of Trauma and Injury
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• v.20 no.1
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• pp.12-18
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• 2007

Purpose: Recently, trauma is more frequent due to the increases in the population, the number of traffic accident, and the incidence of violence. Especially, abdominal trauma is a leading cause of morbidity and mortality. We analyzed the clinical features and the factors associated with morbidity and mortality. Methods: We analyzed 136 patients of abdominal trauma who were admitted at the Department of Surgery, Chonnam National University Hospital, from January 2003 to June 2005. We analyzed the cause of trauma, the injured organ, combined injuries, mental status, blood pressure, laboratory findings, morbidity, and mortality. The relationships between by variable were assesed by using the independent samples test and the Kruskal?Wallis test. Results: The causes of trauma were traffic accidents (98 cases, 72%), falling accidents (9 cases, 6.6%), violence (6 cases, 4.4%), and stab injuries (6 cases, 4.4%). The injured organs were the small intestines (47 cases, 34.6%), the liver (35 cases, 25.7%), the spleen (26 cases, 19.1%), the mesentery (17 cases, 12.5%), the large intestines (15 cases, 11.0%), the pancreas (14 cases, 10.3%), etc. The most common combined injury was chest injury (53 cases, 39%). Comatose or semicomatose mental status and shock on admission (<60 mmHg in systolic) were related to high mortality (85.7%). In laboratory findings, decreased hemoglobin (<8 g/dL), and platelet count (<$50,000/mm^3$), and increased creatinine level (>1.6 mg/dL) were significant prognostic factors. The incidence of postoperative complications was 40.4%, and frequent complications were wound infection (8.1%) and re-bleeding (8.1%). The overall mortality rate was 18.4%, and most common cause was hypovolemic shock (18 cases, 13.2%), however, there was no statistical difference according to injurd organ. Conclusion: In the multivariate analysis, mental status, hemoglobin, and serum creatinine level were the most significant prognostic factors. When an abdominal trauma patient arrives at the emergency room, a rapid and accurate evaluation of the patient's status and risk factors, and resuscitation, if necessary, have to be performed to lower the morbidity and mortality.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.616-624
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• 2020

This study analyzed the association between the type of transport accident and the associated mortality of elderly inpatients. The findings will contribute to the development and establishment of a systematic and effective policy according to the type of transport accident to reduce the mortality of inpatients. The data on elderly inpatients with transport accidents was extracted from the 2013-2017 Korean National Hospital Discharge In-depth Survey dataset. The data was analyzed by descriptive statistics analysis, chi-square tests and multiple logistic regression analysis. After adjustment for sociodemographic, disease, injury and policy factors, the elderly inpatient deaths due to transport accidents were significantly higher for pedestrian accidents (OR: 2.522 95%, CI: 1.291-4.972), bicycle/cart accidents (OR: 2.809, 95% CI: 1.328-5.942) and motorcycle accidents (OR: 2.330, 95% CI: 1.226-4.819) rather than that for car accidents. Likewise, elderly inpatients have a higher risk of death from other types of transport accidents than those caused by car accidents. However, Korean policies related to transport accidents of elderly inpatients are concentrated on car accidents. Effective policy is needed according to the characteristics of each type of transport accident to reduce the transport accident mortality of elderly inpatients.