[논문]Driving Conditions and Occupational Accident Management in Large Truck Collisions

Jeong, Byung Yong; Lee, Sangbok; Park, Myoung Hwan

doi:10.5143/jesk.2016.35.3.135

Abstract ▼ AI-Helper

Objective: Objective of this study is to provide characteristics of injury frequency and severity by driving condition in large truck-related traffic collisions. Background: Traffic accidents involving large trucks draw a lot of attention in accident prevention and management policies since they bri...

Objective: Objective of this study is to provide characteristics of injury frequency and severity by driving condition in large truck-related traffic collisions. Background: Traffic accidents involving large trucks draw a lot of attention in accident prevention and management policies since they bring about severe human and financial damages. Method: In order to identify the major risk factors of accidents by driving condition, 255 recognized traffic accidents by large truck drivers were analyzed in terms of time of the day, road type, and shape of the road. Results: The driving conditions in the results are represented by the following form of combination, "Road Type (Non-expressway or Express) - Shape of Roads (Straight, Curved, Downhill, or Intersection) - Time of Accidents (Day or Night)". In the analysis of injury frequency, Non-expressway-Straight-Day condition was the most frequent one. Meanwhile, Expressway-Curved-Day, Non-expressway-Curved-Night and Non-expressway-Intersection-Night were evaluated as high level in view of injury severity. Also, Expressway-Straight-Night is the driving condition that is the highest in risk among the conditions that have to be managed as grade "High". Non-expressway-Straight-Night, Non-expressway-Downhill-Day, and Non-expressway-Curved-Day are also categorized as grade "High". Conclusion and Application: Safety managers in the fields require basic information on accident prevention that can be easily understood. The research findings will serve as a practical guideline for establishing preventive measures for traffic accidents.

주제어

AI 본문요약
AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

문제 정의

In this study, from many aspects of traffic accidents of truck driving, we focus on different characteristics of the accidents by driving conditions. It is natural to believe that truck drivers' physiological reactions are different according to the time when they drive.
This study explores the risk factors of large truck accidents in terms of the risk according to different driving conditions. Risks related to the driving condition is assessed according to road type, shape of the road, and time of the day.
Large sized truck is a freight vehicle of larger than 5 tons of maximum loading capacity or larger than 10 tons of total weight. This study focuses on the traffic accidents of large-sized trucks.

가설 설정

2) Since one's distance perception becomes worse at night, if a driver tailgates, it is more likely to hit rear-end of another vehicle.

제안 방법

In this study, work-related accidents by large truck drivers were analyzed in terms of time of the day, road type, and shape of the road. Time of the day is either daytime or nighttime, with nighttime defined as hours between 20:00 and 5:00.
This study also identified the major factors that impact large truck accidents and based on these, carried out an accident analysis to determine the level of risk management. In the analysis of injury occurrence, Non-expressway-Straight-Day condition was the most frequent one, and the frequency was following as in the order; Expressway-Straight-Night, Expressway-Straight-Day, and Non-expressway-Intersection-Day.
And also, the driving conditions on shape and type of the road must be different. This study analyzes large truck crashes using an injury analysis to find out the conditions when there is a greater likelihood of injuries or heavier damage. Based on this information, priorities in accident prevention measures are determined to serve as an efficient guideline to prevent large truck driver-related crashes.
This study does not provide accurate descriptions of accidents through statistical approach using a mathematical model on large truck accidents. However, those on the field who are developing accident prevention measures or training programs have a great demand for practical information related to accident prevention that can be easily understood by drivers.

대상 데이터

This study analyzes 255 traffic accidents data of large sized truck drivers that occurred between 2009 and 2011. Traffic accident data included details of the drivers injured and granted four days or more of sick leave, and all of them were found to be male drivers.

성능/효과

Additionally, it is necessary to prepare training about driving habits reflecting truck driver's physiological characteristics. The reasons why there were many accidents on straight road at night are as follows; 1) It is more likely to do drowsy driving because the road and weather is so monotonous that drivers are likely to be loosened. 2) Since one's distance perception becomes worse at night, if a driver tailgates, it is more likely to hit rear-end of another vehicle.
This study also identified the major factors that impact large truck accidents and based on these, carried out an accident analysis to determine the level of risk management. In the analysis of injury occurrence, Non-expressway-Straight-Day condition was the most frequent one, and the frequency was following as in the order; Expressway-Straight-Night, Expressway-Straight-Day, and Non-expressway-Intersection-Day. Meanwhile, in the proportion ratio of deaths among injured persons, Expressway-Curved-Day, Non-expressway-Curved-Night, and Non-expressway-Intersection-Night were evaluated as high level of proportion ratio.

후속연구

However, those on the field who are developing accident prevention measures or training programs have a great demand for practical information related to accident prevention that can be easily understood by drivers. Therefore, the results of the study can serve as an efficient guideline for preventing accidents involving freight trucks.

참고문헌 (9)

BLS, U.S. Department of Labor, Occupational Outlook Handbook, 2014-15 Edition, Heavy Tractor-trailer Truck Drivers, 2015, http://www.bls.gov/ooh/transportation-and-material-moving/large-and-tractor-trailer-truck-drivers.htm (visited November 06, 2015).
Chen, G.X., Amandus, H.E. and Wu, N., Occupational fatalities among driver/sales workers and truck drivers in the United States, 2003-2008. American Journal of Industrial Medicine, 57(7), 800-809, 2014.

상세보기
Friswell, R. and Williamson, A., Work characteristics associated with injury among light/short-haul transport drivers. Accident Analysis and Prevention, 42(6), 2068-2074, 2010.

상세보기
Lee, S. and Jeong, B.Y., Comparisons of Traffic Collisions between Expressway and Rural Road in Truck Drivers. Safety and Health at Work, 7(1), 38-42, 2016.

원문보기 상세보기
Lin, L. and Cohen, H.H., Accidents in the trucking industry. International Journal of Industrial Ergonomics, 20(4). 287-300, 1997.

상세보기
Smith, S.M., Workplace hazards of truck drivers. Monthly Labor Review, 2015, http://www.bls.gov/opub/mlr/2015/article/workplace-hazards-of-truck-drivers-1.htm (retrieved August 23, 2015).
Smith, C.K. and Williams, J., Work related injuries in Washington State's Trucking Industry, by industry sector and occupation, Accident Analysis and Prevention, 65, 63-71, 2014.

상세보기
Spielholz, P., Cullen, J., Smith, C., Howard, N., Silverstein, B. and Bonauto, D., Assessment of perceived injury risks and priorities among truck drivers and trucking companies in Washington State, Journal of Safety Research, 39(6), 569-576, 2008.

상세보기
Starnes, M., Large-Truck Crash Causation Study: An Initial Overview, NHTSA Technical Report (DOT HS 810 646). 2006. http://www-nrd.nhtsa.dot.gov/Pubs/810646.pdf (retrieved October 30, 2015).

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증

Driving Conditions and Occupational Accident Management in Large Truck Collisions 원문보기

Abstract ▼ AI-Helper

주제어

AI 본문요약
AI-Helper

문제 정의

가설 설정

제안 방법

대상 데이터

성능/효과

후속연구

참고문헌 (9)

이 논문을 인용한 문헌

저자의 다른 논문 :

관련 콘텐츠

원문 보기

원문 URL 링크

이 논문과 함께 이용한 콘텐츠

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

선택된 텍스트

연합인증

Driving Conditions and Occupational Accident Management in Large Truck Collisions 원문보기

Abstract ▼ AI-Helper

주제어

AI 본문요약 엑셀 다운로드 AI-Helper

문제 정의

가설 설정

제안 방법

대상 데이터

성능/효과

후속연구

참고문헌 (9)

이 논문을 인용한 문헌

저자의 다른 논문 :

정병용 (60) 이상복 (5) 박명환 (13)

관련 콘텐츠

원문 보기

원문 URL 링크

이 논문과 함께 이용한 콘텐츠

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

선택된 텍스트

AI 본문요약
AI-Helper