Multiple-vehicle traffic accidents in Hong Kong

被引:82
作者
Yau, Kelvin K. W.
Lo, H. P.
Fung, Sherrice H. H.
机构
[1] City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China
[2] Census & Stat Dept, Hong Kong, Hong Kong, Peoples R China
关键词
injury severity; logistic regression; multiple-vehicle traffic accident; risk factors;
D O I
10.1016/j.aap.2006.05.002
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
'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. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1157 / 1161
页数:5
相关论文
共 20 条
[1]   Modeling traffic accident occurrence and involvement [J].
Abdel-Aty, MA ;
Radwan, AE .
ACCIDENT ANALYSIS AND PREVENTION, 2000, 32 (05) :633-642
[2]   Using logistic regression to estimate the influence of accident factors on accident severity [J].
Al-Ghamdi, AS .
ACCIDENT ANALYSIS AND PREVENTION, 2002, 34 (06) :729-741
[3]   The independent contribution of driver, crash, and vehicle characteristics to driver fatalities [J].
Bédard, M ;
Guyatt, GH ;
Stones, MJ ;
Hirdes, JP .
ACCIDENT ANALYSIS AND PREVENTION, 2002, 34 (06) :717-727
[4]   The effect of population safety belt usage rates on motor vehicle-related fatalities [J].
Derrig, RA ;
Segui-Gomez, M ;
Abtahi, A ;
Liu, LL .
ACCIDENT ANALYSIS AND PREVENTION, 2002, 34 (01) :101-110
[5]   Safety-belt effectiveness: The influence of crash severity and selective recruitment [J].
Evans, L .
ACCIDENT ANALYSIS AND PREVENTION, 1996, 28 (04) :423-433
[6]   Risk factors in highway traffic accidents:: a case control study [J].
Híjar, M ;
Carrillo, C ;
Flores, M ;
Anaya, R ;
Lopez, V .
ACCIDENT ANALYSIS AND PREVENTION, 2000, 32 (05) :703-709
[7]  
*INF SERV DEP HONG, 2001, HONG KONG YB 2001
[8]   Differences in fatal loss-of-control accidents between young male and female drivers [J].
Laapotti, S ;
Keskinen, E .
ACCIDENT ANALYSIS AND PREVENTION, 1998, 30 (04) :435-442
[9]   Passenger carriage and car crash injury: a comparison between younger and older drivers [J].
Lam, LT ;
Norton, R ;
Woodward, M ;
Connor, J ;
Ameratunga, S .
ACCIDENT ANALYSIS AND PREVENTION, 2003, 35 (06) :861-867
[10]   Modeling young driver motor vehicle crashes: data with extra zeros [J].
Lee, AH ;
Stevenson, MR ;
Wang, K ;
Yau, KKW .
ACCIDENT ANALYSIS AND PREVENTION, 2002, 34 (04) :515-521