• Title/Summary/Keyword: Accident severity

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Factors Influencing Crash Severity by the Types of Bus Transportation Services Using Ordered Probit Models (순서형 프로빗 모형을 이용한 버스 운송사업 유형 별 사고심각도 영향요인 분석)

  • YOON, Sangwon;KHO, Seung-Young;KIM, Dong-Kyu
    • Journal of Korean Society of Transportation
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    • v.36 no.1
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    • pp.13-22
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    • 2018
  • Buses, one of the representative public transportation modes, are divided into a vareity of service types according to the purpose of operation, operating distance, and management agencies. Although bus-involved crashes may cause large amount of damage due to the higher number of passengers boarded on a bus, prior research has little focused on crash severity according to bus service types. This study aims to investigate factors influencing crash severity in bus-involved crashes and to present policy implications to reduce crash severity by bus service type. To do this, bus-involved crash data from the Traffic Accident Analysis System (TAAS) during five-year period are used. Ordered probit models for three types of bus service, i.e., city bus, suburban and express buses, and charter buses, are estimated to analyze the factors of accident severity. The results show that there are significant differences of factors affecting crash severity among the types of bus services while speed and road surface influence all the types of buses. In case of local buses, time of day, roadway alignment, and installation of a traffic signal are found to be statistically significant factors. Seat belt and road class have significant effects on injury severity of the intercity and express buses. Chartered buses have time of day, driving experience, seatbelt, traffic signal, and day of week as the significant factors. The results of this study are expected to contribute to the reduction of the crash severity by each bus service type.

A Study of the Analysis on the Accident Reduction Effect of the Median (중앙분리대의 사고감소효과 분석에 관한 연구)

  • 김경석;강승림
    • Journal of Korean Society of Transportation
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    • v.21 no.2
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    • pp.45-60
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    • 2003
  • A median is a safety feature most commonly used to separate opposing traffic on a divided highway. In designing highways, the selection and installation of a median can be a critical part from a safety viewpoint because road crossing accidents are definitely more serious than other accidents. In regard to the important function of the median. the proper countermeasure ought to have been provided and thorough study should have been carried out. In this paper, traffic accident data are analyzed to examine the accident reduction effect of the median, which are gathered from all over 4-lane national roads in Korea. The traffic accident data were categorized into two groups by the existence of a median. For more effective analysis, the data have been classified by accident type, severity. and occurrence time. To compare the effectiveness of median installation, not only the accident frequency but also the accident severity, EPDO. and the occupancy rate of specific accidents have been used as a mode of effectiveness. The analysis of the effectiveness of medians shows that both the accident frequency and the accident severity could decrease by providing a median. Also the section where a median was supplied showed the improvement of overall safety through fewer serious and fatal crashes as well as fewer head-on crashes. Therefore, conclusions can be drawn from results of this study that the median installation is an important means to increase the safety of over 4-lane national roads. This study is expected to provide the reasonability of the median installation by identifying the reduction of traffic accident after the median installation and to play a major role in selecting sections where the median is to be offered.

Classification and Prediction of Highway Accident Characteristics Using Vehicle Black Box Data (블랙박스 영상 기반 고속도로 사고유형 분류 및 사고 심각도 예측 평가)

  • Junhan Cho;Sungjun Lee;Seongmin Park;Juneyoung Park
    • 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.

Investigating the Impact of Establishing Integrated Management Systems on Accidents and Safety Performance Indices: A Case Study

  • Laal, Fereydoon;Pouyakian, Mostafa;Madvari, Rohollah F.;Khoshakhlagh, Amir H.;Halvani, Gholam H.
    • Safety and Health at Work
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    • v.10 no.1
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    • pp.54-60
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    • 2019
  • Background: Increasing the establishment of integrated management systems (IMSs) is done with the purpose of leaving traditional management methods and replacing them with modern management methods. Thus, the present study sought to analyze the events and investigate the impact of IMS on health and safety performance indices in an Iranian combined cycle power plants. Methods: This case study was conducted in 2012 in all units of the Yazd Combined Cycle Power Plant on accident victims before and after the implementation of IMS. For data analysis and prediction of indices after the implementation of IMS, descriptive statistics and Kolmogorov-Smirnov test, Chi-square, linear regression, and Cubic tests were conducted using SPSS software. Results: The number of people employed in the power plant in an 8-year period (2004-2011) was 1,189, and 287 cases of work-related accidents were recorded. The highest accident frequency rate and accident severity rate were in 2004 (32.65) and 2008 (209), respectively. Safe T-score reached to below -3 during 2010-2011. In addition, given the regression results, the relation between all predictor variables with outcomes was significant (p < 0.05), except for the variable $X^1$ belonging to the accident severity rate index. Conclusion: The implementation of safety programs especially that of IMS and its annual audits has had a significant impact on reducing accident indices and improving safety within the study period. Accordingly, health and safety management systems are appropriate tools for reducing accident rate, and the use of regression models and accident indices is also a suitable way for monitoring safety performance.

A Case Study on the Estimation of the Risk based on Statistics (산업재해통계기반 Risk 산정에 관한 연구)

  • Woo, Jong-Gwon;Lee, Mi-Jeong;Seol, Mun-Su;Baek, Jong-Bae
    • Journal of the Korean Society of Safety
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    • v.36 no.4
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    • pp.80-87
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    • 2021
  • Risk assessment techniques are processes used to evaluate hazardous risk factors in construction sites, facilities, raw materials, machinery, and equipment, and to estimate the size of risk that could lead to injury or disease, and establish countermeasures. The most important thing in assessing risk is calculating the size of the risk. If the size of the risk cannot be calculated objectively and quantitatively, all members who participated in the evaluation would passively engage in establishing and implementing appropriate measures. Therefore, this study focused on predicting accidents that are expected to occur in the future based on past occupational accident statistics, and quantifying the size of the risk in an overview. The technique employed in this study differs from other risk assessment techniques in that the subjective elements of evaluators were excluded as much as possible by utilizing past occupational accident statistics. This study aims to calculate the size of the risk, regardless of evaluators, such as a manager, supervisor, safety manager, or employee. The size of the risk is the combination of the likelihood and severity of an accident. In this study, the likelihood of an accident was evaluated using the theory of Bud Accident Chainability, and the severity of an accident was calculated using the occupational accident statistics over the past five years according to the accident classification by the International Labor Organization.

Formulation for Producing Risk Level of Each Construction Work (전문 건설업 재해분석과 위험도 산정방안)

  • Son, Ki-Sang;Gal, Won-Mo;Choi, Jea-Nam
    • Proceedings of the Safety Management and Science Conference
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    • 2010.04a
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    • pp.141-147
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    • 2010
  • Risk level for each construction work can be very important factors to establish advanced preventionmeasures. But it is important how to produce it. There are three different methods to set it up for consturuction situation. They are as follows; 1) occurrence frequency = the number of accident workers of each work kind / yearly accident workers 2) occurrence frequency = the number of accident workers of each work kind / yearly workers 3) occurrence frequency = the number of accident workers of each work kind / the total workers All these three concepts(=averaged concept)are analyzed. Additionally frequency based on discrete curve, and severity based on continuous curve are also combined for producing risk level with more scientific approach. This risk level can be very useful to make prevention plan or take measures at construction sites. This is study result can change existing risk level concept to new concept of it, namely rail way work and in-water work showed be high risk level and RC work be low risk level, different from the situation which we have thought commonly, so far.

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Formulation for Producing Risk Level of Each Construction Work (전문 건설업종별 위험도 산정 방법에 관한 연구)

  • Son, Ki-Sang;Gal, Won-Mo;Song, In-Yong;Choi, Jea-Nam
    • Journal of the Korea Safety Management & Science
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    • v.12 no.3
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    • pp.13-19
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    • 2010
  • Risk level for each construction work can be very important factors to establish advanced prevention measures. But it is important how to produce it. There are three different methods to set it up for construction situation. They are as follows; 1) occurrence frequency = the number of accident workers of each work kind / yearly accident workers 2) occurrence frequency = the number of accident workers of each work kind / yearly workers 3) occurrence frequency = the number of accident workers of each work kind / the total workers All these three concepts(=averaged concept)are analyzed. Additionally frequency based on discrete curve, and severity based on continuous curve are also combined for producing risk level with more scientific approach. This risk level can be very useful to make prevention plan or take measures at construction sites. This is study result can change existing risk level concept to new concept of it, namely rail way work and in-water work showed be high risk level and RC work be low risk level, different from the situation which we have thought commonly, so far.

Comparative Analysis of Traffic Accident Severity of Two-Wheeled Vehicles Using XGBoost (XGBoost를 활용한 이륜자동차 교통사고 심각도 비교분석)

  • Kwon, Cheol woo;Chang, Hyun ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.4
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    • pp.1-12
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    • 2021
  • Emergence of the COVID 19 pandemic has resulted in a sharp increase in the number of two-wheeler vehicular traffic accidents, prompting the introduction of numerous efforts for their prevention. This study applied XGBoost to determine the factors that affect severity of two-wheeled vehicular traffic accidents, by examining data collected over the past 10 years and analyzing the influence of each factor. Among the total factors assessed, variables affecting the severity of traffic accidents were overwhelmingly high in cases of signal violations, followed by the age group of drivers (60s or older), factors pertaining only to the car, and cases of centerline infringement. Based on the research results, a reasonable legal reform plan was proposed to prevent serious traffic accidents and strengthen safety management of two-wheeled vehicles. Based on the research results, we propose a reasonable legal reform plan to prevent serious traffic accidents and strengthen safety management of two-wheeled vehicles.

Epidemiological Characteristics of Bicycle-Injured Patients (자전거손상 환자의 역학적 특성)

  • Nam, Young-Hee;Lee, Myung-Sun
    • The Journal of Korean Society for School & Community Health Education
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    • v.14 no.2
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    • pp.47-57
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    • 2013
  • Backgrounds: According to a high interest in health these days, a bicycle is being highlighted as a means of leisure activity and auxiliary transportation means. Along with an increase in this interest, there is tendency that even the width of bicycle utilization gets diverse and that bicycle accident is also rapidly growing. Purpose: The purpose of this study was to suggest a prevention measure available for reducing occurrence of bicycle accidents by analyzing the Epidemiological characteristics according to age and injury severity in bicycle-injured patients. Methods: This study analyzed 115 materials suitable for this study by examining a medical record of patients, who received the hospitalized treatment owing to bicycle accident from January 1, 2011 to December 31 at one general hospital in S city. Results: The male-and-female ratio of bicycle-injured patients stood at about 7:3. The average age was 38.14(${\pm}21.59$) years old. The largest injury happened in 40-59 years old(31.3%). The averagely hospitalized period was 17.33(${\pm}18.12$) days. Injury severity was the ratio of 2:8 in a mild case versus a serious case. As for drinking and smoking characteristics according to age, the injury occurred the most in between 40 and 59 years old for people with drinking and smoking and in under 19 years for people without drinking and smoking. According to injury severity, the ratio of serious case got higher in the higher age. This was indicated(${\chi}^2$=15.675, p=0.001) to be statistically significant. Conclusion: In this study, a bicycle accident was indicated to have high injury risk in young children, adolescents, and old-age group. Prevention measure and publicity are demanded for reducing injury occurrence such as the prevention education for bicycle accident and wearing protective gear focusing on the ages of corresponding to groups with risk of injury occurrence. In addition, the security of safe movement route is necessarily demanded in order to increase application level as an auxiliary transportation means.

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A Policy Intervention Study to Identify High-Risk Groups to Prevent Industrial Accidents in Republic of Korea

  • Yi, Kwan Hyung;Lee, Seung Soo
    • Safety and Health at Work
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    • v.7 no.3
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    • pp.213-217
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    • 2016
  • Background: The objective of this study is to identify high-risk groups for industrial accidents by setting up 2003 as the base year and conducting an in-depth analysis of the trends of major industrial accident indexes the index of industrial accident rate, the index of occupational injury rate, the index of occupational illness and disease rate per 10,000 people, and the index of occupational injury fatality rate per 10,000 people for the past 10 years. Methods: This study selected industrial accident victims, who died or received more than 4 days of medical care benefits, due to occupational accidents and diseases occurring at workplaces, subject to the Industrial Accident Compensation Insurance Act, as the study population. Results: According to the trends of four major indexes by workplace characteristics, the whole industry has shown a decreasing tendency in all four major indexes since the base year (2003); as of 2012, the index of industrial accident rate was 67, while the index of occupational injury fatality rate per 10,000 people was 59. Conclusion: The manufacturing industry, age over 50 years and workplaces with more than 50 employees showed a high severity level of occupational accidents. Male workers showed a higher severity level of occupational accidents than female workers. The employment period of < 3 years and newly hired workers with a relatively shorter working period are likely to have more occupational accidents than others. Overall, an industrial accident prevention policy must be established by concentrating all available resources and capacities of these high-risk groups.