• Journal of Korean Society of Transportation
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• v.3 no.1
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• pp.3-21
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• 1985

Since the expressway was first opened in 1968 there has been continued demand for constructing new lines of expressway, and thus it amounts to 1,420.5km in total length as of 1984. As the expressway becomes to take up more important role in our country facing motorization traffic accidents have become more of social issues, although its accident rates are relatively low compared to those on general highways in Korea, which is among the highest in the world. The purpose of the study is to investigate the correlation between the traffic accident rates on the expressway and their geometric characteristics based upon 1982 data. In order to extract the correlationship among them on as much disaggregate basis, the study has carried out the analysis on the primary data aggregated on the 100 meter intervals. One of the important findings was, among others, the design criteria of the expressway should be reconsidered with respect to the radius of the curve, superelevation, climbing lane, composed gradients, interchange facilities, tunnels and so on.

• Journal of Korean Medicine Rehabilitation
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• v.23 no.3
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• pp.187-199
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• 2013

Objectives The purpose of this study was to measure the expectation of patients visiting the Korean medical hospital for treatment from traffic accident (TA). Methods The data were collected with a questionnaire for about 1 year. The subjects were 39 patients who hospitalized in Korean Medical Hospital after TA. All data were analyzed using SPSS (Statistical Package for the Social Science) program to analyze. Results Acupuncture (8.36) had the highest expectation degree which was followed by Herbalmedicine (8.32), Pharmocoacupuncture (8.14). There were no significant differences in the expectation degree with sex, age, education, occupation. The patients who had experienced Korean medicine treatment had high expectation degree in Pharmocoacupuncture and Herbalmedicine. And the expectation was different significantly (p<0.05). Conclusions The expectation of TA patients was high in Acupucture and Herbalmedicine. The group experienced korean medical treatment before had high degree of expectation in Palmacoacupuncture and Herbalmedicine.

• Journal of Korean Medicine Rehabilitation
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• v.31 no.4
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• pp.145-156
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• 2021

Objectives This study aims at using information about treatment satisfaction obtained from surveying pediatric traffic-accident patients to guide future improvement in the quality of traditional Korean medical services. Methods The survey included 95 pediatric patients treated for traffic-accident injuries at a traditional Korean medical institution. The questionnaire was developed from a similar satisfaction survey for adult traffic-accident patients and approved by a traditional Korean pediatrician. The year-long survey ran from April 2020 to April 2021. The collected data were analysed using t-tests, one-way analysis of variance, and cross-tabulation. Results Of the pediatric traffic-accident patients surveyed, the highest percentage of children were aged between 1 and 7 years (70.5%). Just over half the patients (55.8%) complained of sleeping difficulties, and 54.7% exhibited symptoms of anxiety and fear. Almost all the patients surveyed (97.9%) reported an improvement in their symptoms after undergoing traditional Korean medical treatment. The degree of satisfaction with the treatment correlated with the alleviation of symptoms. Approximately 83.2% of respondents reported 'difficult-to-administer treatment for children' and rated their satisfaction degree comparatively lower than those patients with no reported treatment difficulties. The most struggling treatment was herbal medicine (42.1%), highlighting the need for improvement in the adaptability of herbal medicine to the treatment of pediatric patients. Conclusions Treatment acceptance by pediatric traffic-accident patients affects reported treatment satisfaction. It is important to improve treatment experience and adaptability to pediatric patients to improve the perceived quality of traditional Korean medical services.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.389-391
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• 2021

Traffic regulations are expanding to prevent traffic accidents for people's safety, but traffic accidents are not decreasing. In this study, the probability of traffic accidents occurring at a specific time and place is estimated by analyzing various factors such as weather forecast data from the Meteorological Agency, day of the week, time of day, location data, and location information. This study combines objective data on the occurrence of numerous previous traffic accidents with various additional elements not considered in previous studies to derive a more improved traffic accident probability prediction model. The results of this study can be effectively used for various transportation-related services for the safety of people.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.8
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• pp.101-109
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• 2019

Korea's transportation paradigm is shifting from a vehicle-oriented transportation plan to a pedestrian-friendly environment that emphasizes walking safety. However, the level of pedestrian traffic accidents in Korea is still high and serious. The purpose of this study is to investigate factors affecting the severity of pedestrians traffic accidents using the multilevel logistic regression model based on 2015-2017 pedestrian accidents data provided by the Traffic Accident Analysis System(TAAS). The main results of the multilevel logistic regression model showed that 89% of pedestrian traffic accidents in Seoul were explained by individual characteristics such as drivers and pedestrians, and 11% were explained by neighborhood environmental characteristics. The results are as follows : In the individual characteristics such as pedestrians and drivers, the older the pedestrians and the drivers, the higher the traffic accident severity. The severity of traffic accidents was high when the pedestrians were female and the drivers were male. In the case of accident types, traffic accidents were more serious in the cases of heavy vehicles, inclement weather, and occurring at intersections and crosswalks. The results of the neighborhood environmental characteristics are as follows. The intersection density and the crosswalk density tended to reduce the severity of traffic accidents. On the other hand, the traffic light density and the school zones were founded to related to the higher level of traffic accident severity. This study suggests that both individual and neighborhood environmental characteristics should be considered together to prevent and reduce the severity of pedestrian traffic accidents.

• Journal of the Korean Society of Safety
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• v.33 no.4
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• pp.111-118
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• 2018

Korea is facing a surge in the aging population, showing that population aged 65 and above will be accounted for 42.5% of the total population in 2065 with the emphasis on the over-80 population consisting of 19.2%. In response to this abrupt change in population structure, the number of traffic fatality accident referring to older driver as aged 65+ years had been increasing from 605 fatalities in 2011 to 815 fatalities in 2015 resulting in increases in 34.7% in oppose to happening to decreases in 17.2% about non-older driver. With Logit analysis based on Newton-Raphson algorithm utilizing older driver's traffic fatality data for the 2011-2015 years, it was found that the likelihood of an accident resulting in a fatality for super older driver aged 80 years and above considerably increased compared to other older driver with aging classification: 2.24 times for violation of traffic lane, 2.04 times for violation of U-turn, 1.48 times for violation of safety distance, 1.35 times for violation of obstacle of passing; also average annual increase of traffic accident cost related to super older driver was fairly increased rather than other older driver groups. Hence, this study proposes that improving and amending transport safety system and Road Traffic Act for super older driver needs to be urgently in action about license management, safe driving education, etc. when considering the increase of over-80 population in the near future. Also, implementing a social agreement with all ages and social groups to apply with advanced driver assistance system for older driver groups will be able to become a critical factor to enhance safe driving over the face of the country.

• Journal of Navigation and Port Research
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• v.37 no.6
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• pp.567-574
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• 2013

Although Korea coastal area has the increasing potential marine accident due to frequent ship's encounter, increased vessel traffic and large vessel, there is no specific model to evaluate the navigating vessel's risk considering the domestic traffic situation. The maritime transport environmental assessment is necessary due to the amended maritime traffic law. However, marine safety diagnosis is now carried out by foreign model. In this paper, therefore, we suggest a domestic traffic model reflecting the characteristics of korea coastal area and navigator's risk as we named PARK(Potential Assessment of Risk) model. We can evaluate the subjective risk by establishing the model and model output into maritime risk exposure system. To evaluate this model's effectiveness, we used ship handling simulation and applied, analyzed collision accident which occurred in korea coastal area. And also, we applied integrated to an ECDIS program for monitoring traffic risk of vessels with real time based AIS data and apply to evaluate traffic risk in busan harbor waterway. As a result, we could evaluate busan harbor waterway risk effectively.

• Journal of the Korean Society of Safety
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• v.27 no.6
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• pp.178-184
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• 2012

This study deals with the traffic accidents by weather condition. The objectives are to comparatively analyze the characteristics, and to develop the models of traffic accidents by weather condition. In pursuing the above, this paper gives particular attentions to testing the differences between two groups, and developing the models(Poisson and negative binomial regression) using the data of domestic circular intersections. The main results are as follows. First, three Poisson models and one negative binomial models which were all statistically significant were developed using the number of accident and EPDO by the clear weather and other as the dependant variables. Second, the differences between two models were comparatively analyzed using the chosen variables. This paper might be expected to give some implications to traffic safety policy-making to reduce and prevent the traffic accidents in circular intersections.

• Journal of Auto-vehicle Safety Association
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• v.13 no.4
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• pp.60-65
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• 2021

The event data recorders (EDR) have been used as a device to help understand traffic accidents. With the recent development of autonomous vehicle (AV), it has become important to prepare the new EDR for AV. Therefore, the purpose of this study is to propose the direction of EDR-AV recording. First of all, the recent EDR data elements and the data elements of AV under discussion at UNECE WP29 EDR/DSSAD (Data Storage System for Automated Driving) were analyzed. The consumer complaint database in Motor Vehicle Recall Center in Korea was analyzed in order to utilize cases of domestic traffic accidents related to advanced driver assistance systems (ADAS). Consequently, problems with existing EDR were identified through unclear accident cases related to ADAS. In the future, it was proposed to record images in which the ADAS perception systems recognize the surroundings of the accident site as an EDR-AV recording item.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.3
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• pp.59-73
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• 2021

There are many lives lost due traffic accidents, and which have not decreased despite advances in technology. In order to prevent traffic accidents, it is necessary to accurately forecast how they will change in the future. Until now, traffic accident-frequency forecasting has not been a major research field, but has been analyzed microscopically by traditional methods, mainly based on statistics over a previous period of time. Despite the recent introduction of AI to the traffic accident field, the focus is mainly on forecasting traffic flow. This study converts into time series data the records from 1,339,587 traffic accidents that occurred in Korea from 2014 to 2019, and uses the AI algorithm to forecast the frequency of traffic accidents based on driver's age and time of day. In addition, the forecast values and the actual values were compared and verified based on changes in the traffic environment due to COVID-19. In the future, these research results are expected to lead to improvements in policies that prevent traffic accidents.