• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.20 no.1
• /
• pp.100-118
• /
• 2021

In this study, PM accidents (1,603case) and bicycle accidents (14,672case) that occurred in the last three years were analyzed to determine the characteristics of PM traffic accidents. In particular, PM traffic accidents were divided into perpetrators and victims to determine the characteristics in detail. For PM accidents, the analysis was conducted on the status of each road grade, road type, weather condition, accident type, day and night occurrence, and vehicle type. The number of PM accidents that occurred in 2019 increased by 129%, and deaths increased by more than 200% compared to the previous year. The proportion of pedestrian accidents among PM traffic accidents was higher than that of bicycle accidents. Therefore, regulations on PM traffic are necessary. For the 20 deaths of PM, a detailed analysis was conducted to analyze the factors of traffic accidents. PM fatalities occurred in 50% of vehicle accidents, and 7 out of 10 vehicle accidents occurred at night. This is believed to have been caused by falling or overturning due to an obstacle, such as a depression in the road pavement or a speed bump.

• Korean Journal of Culture and Social Issue
• /
• v.13 no.4
• /
• pp.101-112
• /
• 2007

We investigated the influences of 'Circumstance Insensibility', 'Unsafe Driving', 'Incautious Driving', and 'Self-efficacy of Driving', consisting of driving confidence level, on traffic accidents. 1055 drivers conducted Driving Confidence Level Questionnaire, items about their dangerous driving experience and traffic accidents. Among them, after checking the missing items, we analyzed data of 998 drivers. As a result, we found the relation between driving confidence levels and traffic accidents. Specially, 'Circumstance Insensibility' and 'Unsafe Driving' influenced traffic accidents. However 'Circumstance Insensibility' had negative effects, the other side 'Unsafe Driving' had positive effects on traffic accidents. This result means each factor of driving confidence levels have different relation with traffic accidents. 'Incautious Driving' and 'Self-efficacy of Driving' didn't have any effects on traffic accidents in this research. In future, it should be investigated 'Incautious Driving' and 'Self-efficacy of Driving'.

• Journal of Korean Society of Transportation
• /
• v.19 no.1
• /
• pp.139-148
• /
• 2001

본 연구는 교통사고 야기 자들의 운전정밀적성검사기록과 해당 교통사고기록을 비교하여 특정 운전적성상의 결손이 교통사고와 특정유형의 교통사고에 미치는 영향을 계량적으로 분석하는 것을 목적으로 하였다. 본 연구를 위하여 우리나라에서 가장 빈발하는 인적요인에 의한 교통사고 유형 중에서 교통상충이 빈발하는 지점에서 발생하는 차-대-차 사고를 조사분석대상으로 삼았다. 이와 같이 분석대상사고를 선정한 이유는 교통상충이 교통사고로 발전하는 과정에서 사고 제1당사자의 운전적성의 역할을 파악하고자하는 목적에서이다. 따라서 본 연구의 대상이 되는 교통사고 유형을 1. 교차로 진입부에서의 추돌사고, 2. 교차로내 충추돌사고, 3. 단일로상의 추돌사고로 선정하였다. 판별력이 의문시되는 4개 항목을 제외한 조사분석결과에서 하나의 항목을 제외하고 사고 야기자와 일반인의 운전적성상에 통계적으로 분명한 차이가 있으며 각 항목의 결손자 집단에서의 사고자 비율이 일반운전자 집단에 비해 교통사고를 경험한 확률이 2배 내지 4배 가량 높았다. 또한 특정 유형 사고 야기자와 사고 야기자 전체, 일반운전자 집단간 비교에서도 항목별 결손율이 분명한 다른 형태를 갖고 있다는 사실을 확인했으며, 특정유형의 결손(조합)자 집합에서 특정 교통사고 유형을 야기시켰을 확률이 일반인 집단에 비해 많게는 13배 적게는 3, 4배 정도 높다고 추정되었다.

• Journal of Korean Society of Transportation
• /
• v.28 no.4
• /
• pp.73-83
• /
• 2010

The main objective of this paper is to analyze the factors of a semi-public management system of intra-city bus that influence the decrease of traffic accidents which are caused by intra-city buses and the attitude change of intra-city bus drivers over their driving. The results show that the traffic accidents decreased generally as a result of definition of the progresses and characteristics of traffic accidents of intra-city buses before-and-after the system is implemented and with the passing of time after the system began operations. Second, the factors which influence the decrease of traffic offenses before-and-after semi-public management system of intra-city bus are the decrease of violations, safe driving, and job security. Also, the causes which mostly influence the decrease of traffic accidents are defined. Finally, the changing degrees of driving attitudes before-and-after the system is implemented and the causes of the changes are determined. The effects on the decrease of traffic accidents before-and-after the system is implemented as well as the problems and the solutions over time are the main products of this study.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.24 no.5
• /
• pp.511-518
• /
• 2018

Research indicates, about 80% of maritime accidents are caused by human error. Further investigation of the human factors behind maritime casualties is essential in order to establish preventive measures. The main purpose of this study is to identify and analyze human factors behind maritime traffic-related accidents using the m-SHEL model. Since the m-SHEL model used in other fields is based on generic human factors, it has expanded in this study to accommodate ship operating systems and define human factors. In addition, the validity of the expanded model was verified by reliability analysis using SPSSWIN. A classified table for this extended m-SHEL model was then used to analyze human factors behind maritime traffic-related accidents extracted from a written verdict by the Korean Maritime Safety Tribunal. Human factors were arranged in the order L, L-E, L-H, L-m, L-L, and L-S. This paper contributes to the prevention of maritime traffic-related accidents caused by human factors by presenting useful analytical results that can be applied to build a maritime safety management system.

• Korean Journal of Culture and Social Issue
• /
• v.9 no.spc
• /
• pp.1-14
• /
• 2003

The purpose of this paper is to introduce eight articles which were written on the psychological mechanisms of accidents in Korean society and to suggest alternatives to prevent them. All of these articles were presented during the "Symposium of Safety" at the Annual Conference of the Korean Psychological Association, at Youngnam University through October 18~19, 2002. Frequently occurring accidents in Korean society are a very serious and enduring social issue. Psychological and cultural factors, as well as environmental factors, were found to be leading causes of the various accidents. The preventative alternatives for these accidents should be developed taking into account these factors. A nation-wide comprehensive institute for accident management is necessary to control accidents and to study and to develop preventive programs. The attitude of psychologists also needs to shift from the laboratory to the field toward accidents and from passive to aggressive toward issues facing Korean society.

• Journal of Korean Society of Transportation
• /
• v.33 no.1
• /
• pp.81-89
• /
• 2015

Crashes that occur at tollgates have different characteristics compared to those of the mainline on expressways in terms of crash cause, crash type, and vehicle type. Due to this fact, the safety performance function (SPF) focused on the expressway tollgates, apart from the mainline, should be developed. The aim of this study is, therefore, to identify the influential factors and develope a SPF for crashes at tollgates. Firstly, we established independent variables affecting crashes at tollgates through literature review and descriptive statistical analysis. Based on these variables, two negative binomial regression models with different form of independent variables were developed and goodness-of-fits of each model were compared. According to the results, the number of crashes increases i) as AADT, Hi-pass rate, and heavy vehicle rate increase, ii) as average lane width decreases, iii) on the mainline tollgate type. The safety performance function developed in this study could be applied to select hot-spots for expressway tollgates.

• International Journal of Highway Engineering
• /
• v.10 no.2
• /
• pp.35-45
• /
• 2008

Trucking is the most frequently used mode for freight movement due to relatively lower shipping costs and its operational flexibility. However, truck traffic can contribute to serious safety problems where they occupy high percentage of the total traffic. Heavy truck crashes arc more likely to result in serious injuries and fatalities than are crashes involving light vehicles. Therefore, safety issues for truck traffic are very significant both for public agencies and for general travelers. The objective of our study is to find truck-involved accident patterns according to traffic conditions and main factors as well as to find the most critical factor through conventional statistical techniques. A vailable data were obtained from TASAS (Traffic Accident Surveillance and Analysis System). Once critical factors are identified, effective and efficient truck management strategies can be discussed.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.35 no.1
• /
• pp.173-185
• /
• 2015

This study aims to investigate the characteristics and types of car accidents and establish a prediction model by analyzing 456 car accidents having occurred in the 11 tunnels in Busan, through statistical analysis techniques. The results of this study can be summarized as below. As a result of analyzing the characteristics of car accidents, it was found that 64.9% of all the car accidents took place in the tunnels between 08:00 and 18:00, which was higher than 45.8 to 46.1% of the car accidents in common roads. As a result of analyzing the types of car accidents, the car-to-car accident type was the majority, and the sole-car accident type in the tunnels was relatively high, compared to that in common roads. Besides, people at the age between 21 and 40 were most involved in car accidents, and in the vehicle type of the first party to car accidents, trucks showed a high proportion, and in the cloud cover, rainy days or cloudy days showed a high proportion unlike clear days. As a result of analyzing the principal components of car accident influence factors, it was found that the first principal components were road, tunnel structure and traffic flow-related factors, the second principal components lighting facility and road structure-related factors, the third principal factors stand-by and lighting facility-related factors, the fourth principal components human and time series-related factors, the fifth principal components human-related factors, the sixth principal components vehicle and traffic flow-related factors, and the seventh principal components meteorological factors. As a result of classifying car accident spots, there were 5 optimized groups classified, and as a result of analyzing each group based on Quantification Theory Type I, it was found that the first group showed low explanation power for the prediction model, while the fourth group showed a middle explanation power and the second, third and fifth groups showed high explanation power for the prediction model. Out of all the items(principal components) over 0.2(a weak correlation) in the partial correlation coefficient absolute value of the prediction model, this study analyzed variables including road environment variables. As a result, main examination items were summarized as proper traffic flow processing, cross-section composition(the width of a road), tunnel structure(the length of a tunnel), the lineal of a road, ventilation facilities and lighting facilities.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.23 no.2
• /
• pp.15-31
• /
• 2024

The characteristics of elderly traffic accidents were identified by reflecting the situation of the elderly population in Korea, which is entering an ultra-aging society, and the relationship between independent and dependent variables was analyzed by classifying traffic accidents of serious or higher and traffic accidents of minor or lower in elderly pedestrian traffic accidents using binomial variables. Data collection, processing, and variable selection were performed by acquiring data from the elderly pedestrian traffic accident analysis system (TAAS) for the past 10 years (from 13 to 22 years), and basic statistics and analysis by accident factors were performed. A total of 15 influencing variables were derived by applying the logistic regression model, and the influencing variables that have the greatest influence on the probability of a traffic accident involving severe or higher elderly pedestrians were derived. After that, statistical tests were performed to analyze the suitability of the logistic model, and a method for predicting the probability of a traffic accident according to the construction of a prediction model was presented.