Road Traffic Accident Severity Analysis: A Census-Based Study in China

In China, despite the decrease in average road traffic fatalities per capita, the fatality rate and injury rate have been increasing until 2015. 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, the authors propose possible countermeasures to reduce accident severity. 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. 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 5.3% higher than average, while in 2016, the number is 42.0%. 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.

• Record URL:
  • https://doi.org/10.1016/j.jsr.2019.06.002
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0022437518306297
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1800052
• Supplemental Notes:
  • © 2019 National Safety Council and Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Wang, Deyu
  • Liu, Qinyi
  • Ma, Liang
  • Zhang, Yijing
  • Cong, Haozhe
• Publication Date: 2019-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 135-147
• Serial:
  • Journal of Safety Research
  • Volume: 70
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0022-4375
  • Serial URL: http://www.sciencedirect.com/science/journal/00224375

Subject/Index Terms

• TRT Terms: Crash causes; Crash data; Crash injuries; Crash severity; Fatalities; Human factors in crashes
• Geographic Terms: China
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01714098
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 20 2019 11:46AM