Road traffic accident severity analysis: A census-based study in China

被引:63
作者
Wang, Deyu [1 ]
Liu, Qinyi [1 ]
Ma, Liang [1 ]
Zhang, Yijing [1 ]
Cong, Haozhe [2 ]
机构
[1] Tsinghua Univ, Dept Ind Engn, Beijing, Peoples R China
[2] Minist Publ Secur, Rd Traff Safety Res Ctr, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Road traffic safety; Accident severity; Case fatality rate; RISK-FACTORS; INJURY SEVERITY; CRASHES; SAFETY; INVOLVEMENT; FATALITIES; MORTALITY; TRENDS;
D O I
10.1016/j.jsr.2019.06.002
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Background: In China, despite the decrease in average road traffic fatalities per capita, the fatality rate and injury rate have been increasing until 2015. Purpose: This study aims to analyze the road traffic accident severity in China from a macro viewpoint and various aspects and illuminate several key causal factors. From these analyses, we propose possible countermeasures to reduce accident severity. Method: The severity of traffic accidents is measured by human damage (HD) and case fatality rate (CFR). Different categorizations of national road traffic census data are analyzed to evaluate the severity of different types of accidents and further to demonstrate the key factors that contribute to the increase in accident severity. Regional data from selected major municipalities and provinces are also compared with national traffic census data to verify data consistency. Results: From 2000 to 2016, the overall CFR and HD of road accidents in China have increased by 19.0% and 63.7%, respectively. In 2016, CFR of freight vehicles is 33.5% higher than average; late-night accidents are more fatal than those that occur at other periods. The speeding issue is severely becoming worse. In 2000, its CFR is only 53% higher than average, while in 2016, the number is 42.0%. Conclusion and practical implementation: A growing trend of accident severity was found to be contrasting to the decline of road traffic accidents. From the analysis of casual factors, it was confirmed that the release way of the impact energy and the protection worn by the victims are key variables contributing to the severity of road traffic accidents. (C) 2019 National Safety Council and Elsevier Ltd. All rights reserved.
引用
收藏
页码:135 / 147
页数:13
相关论文
共 47 条
[1]   Comparison of road crashes incidence and severity between some French counties [J].
Amoros, E ;
Martin, JL ;
Laumon, B .
ACCIDENT ANALYSIS AND PREVENTION, 2003, 35 (04) :537-547
[2]  
Anhui Provincial Bureau of Statistics, 2000, ANH STAT YB
[3]  
[Anonymous], 2000, CHIN STAT YB
[4]  
Beijing Municipal Bureau of Statistics, 2003, BEIJ STAT YB
[5]   A spatial generalized ordered response model to examine highway crash injury severity [J].
Castro, Marisol ;
Paleti, Rajesh ;
Bhat, Chandra R. .
ACCIDENT ANALYSIS AND PREVENTION, 2013, 52 :188-203
[6]   Traffic climate, driver behaviour, and accidents involvement in China [J].
Chu, Wenhui ;
Wu, Chaozhong ;
Atombo, Charles ;
Zhang, Hui ;
Ozkan, Turker .
ACCIDENT ANALYSIS AND PREVENTION, 2019, 122 :119-126
[7]   Identifying significant predictors of injury severity in traffic accidents using a series of artificial neural networks [J].
Delen, D ;
Sharda, R ;
Bessonov, M .
ACCIDENT ANALYSIS AND PREVENTION, 2006, 38 (03) :434-444
[8]  
Fujian Provincial Bureau of Statistics, 2003, FUJ STAT YB
[9]   Traffic accident statistics and risk perceptions in Japan and the United States [J].
Hayakawa, H ;
Fischbeck, PS ;
Fischhoff, B .
ACCIDENT ANALYSIS AND PREVENTION, 2000, 32 (06) :827-835
[10]   Speed enforcement in China: National, provincial and city initiatives and their success [J].
He, Jie ;
King, Mark ;
Watson, Barry ;
Rakotonirainy, Andry ;
Fleiter, Judy .
ACCIDENT ANALYSIS AND PREVENTION, 2013, 50 :282-288