Multiple-vehicle traffic accidents in Hong Kong.

'Multiple-vehicle traffic accident' refers to a crash between two or more moving objects. Unlike single-vehicle accidents, not all drivers involving in a multiple-vehicle accident are responsible for the occurrence of the event. Accordingly, variables such as road type, speed limit and number of vehicles involved in the accident are expected to play a much more important role in association with injury severity in multiple-vehicle accidents. To study the factors influencing injury severity of multiple-vehicle traffic accidents, a population-based study was conducted. The traffic accident data was obtained from the Traffic Accident Data System (TRADS), which was developed by the Transport Department, Police Force and Information Technology Services Department, Hong Kong. Multiple-vehicle traffic accidents (N = 10,630) occurring during the 2-year period 1999/2000 were considered. Potential risk factors such as district, human, vehicle, safety, environmental and site factors were examined. Categorizing injury severity into "fatal/serious" and "slight", a stepwise logistic regression model was applied to the population data set. The district board, time of the accident, driver's gender, vehicle type, road type, speed limit and the number of vehicles involved are significant factors influencing the injury severity. Identification of risk factors for severe traffic accidents provides valuable information to help with new and improved road safety control measures.

[1]  M Hijar,et al.  Risk factors in highway traffic accidents: a case control study. , 2000, Accident; analysis and prevention.

[2]  Kelvin K W Yau,et al.  Risk factors affecting the severity of single vehicle traffic accidents in Hong Kong. , 2004, Accident; analysis and prevention.

[3]  B. A. Matthews,et al.  Characterological, situational, and behavioral risk factors for motor vehicle accidents: a prospective examination. , 2000, Accident; analysis and prevention.

[4]  Ahmed E. Radwan,et al.  Modeling traffic accident occurrence and involvement. , 2000, Accident; analysis and prevention.

[5]  Silvio Brusaferro,et al.  Risk factors for fatal road traffic accidents in Udine, Italy. , 2002, Accident; analysis and prevention.

[6]  Mark Woodward,et al.  Passenger carriage and car crash injury: a comparison between younger and older drivers. , 2003, Accident; analysis and prevention.

[7]  S Laapotti,et al.  Differences in fatal loss-of-control accidents between young male and female drivers. , 1998, Accident; analysis and prevention.

[8]  L. Evans Safety-belt effectiveness: the influence of crash severity and selective recruitment. , 1996, Accident; analysis and prevention.

[9]  Maria Segui-Gomez,et al.  The effect of population safety belt usage rates on motor vehicle-related fatalities. , 2002, Accident; analysis and prevention.

[10]  G. Guyatt,et al.  The independent contribution of driver, crash, and vehicle characteristics to driver fatalities. , 2002, Accident; analysis and prevention.

[11]  A. S. Al-Ghamdi Using logistic regression to estimate the influence of accident factors on accident severity. , 2002, Accident; analysis and prevention.

[12]  D. Massie,et al.  Traffic accident involvement rates by driver age and gender. , 1995, Accident; analysis and prevention.

[13]  J. Zhang,et al.  Factors affecting the severity of motor vehicle traffic crashes involving elderly drivers in Ontario. , 2000, Accident; analysis and prevention.

[14]  Kui Wang,et al.  Modeling young driver motor vehicle crashes: data with extra zeros. , 2002, Accident; analysis and prevention.