The assessment of traffic accident risk based on grey relational analysis and fuzzy comprehensive evaluation method

The traffic accident risk includes three aspects, traffic accident probability, traffic accident severity, and traffic accident trend respectively. In this paper, nine indicators are selected to evaluate the traffic accident risk. The grey relational analysis method was used to determine the weights, and the fuzzy comprehensive evaluation method was used to calculate the risk. These methods were applied to assess the comprehensive risk of traffic accident in 31 provinces in China. The results show that the average value of traffic accident risk is 55.17. Nine provinces which are located in the northwest area and southeast area belong to the high-risk level. The medium-risk areas are widely distributed in the central, northeast, and southwest regions. The low-risk areas are Jilin, Neimenggu, Guizhou, and Beijing. The results have great significance for the measurement and management of regional traffic accident risk.

• Record URL:
  • https://doi.org/10.1007/s11069-017-2923-2
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0921030X
• Supplemental Notes:
  • © Springer Science+Business Media Dordrecht 2017.
• Authors:
  • Liu, Yaolong
  • Huang, Xiaoli
  • Duan, Jin
  • Zhang, Huaming
• Publication Date: 2017-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 1409-1422
• Serial:
  • Natural Hazards
  • Volume: 88
  • Issue Number: 3
  • Publisher: Springer Netherlands
  • ISSN: 0921-030X
  • EISSN: 1573-0840
  • Serial URL: http://link.springer.com/journal/11069

Subject/Index Terms

• TRT Terms: Crash risk forecasting; Crash severity; Fuzzy logic; Highway safety; Traffic crashes
• Uncontrolled Terms: Grey relational analysis
• Geographic Terms: China
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01684415
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 26 2018 5:15PM