Association Rule Analysis of Factors Contributing to Extraordinarily Severe Traffic Crashes in China

This study aimed to investigate the contributing factors to serious casualty traffic crashes and their interdependency in China. Serious casualty crashes are defined as crashes that lead to more than 10 deaths. The data of serious casualty crashes between 2009 and 2013 were obtained from the Annual Report for Road Traffic Accidents published by the Ministry of Public Security of China (MPSC). Descriptive statistics were used to illustrate the characteristics of serious casualty crashes in terms of road user behavior, vehicle conditions, geometric characteristics, and environmental conditions. The association rule mining technique was further applied to identify sets of crash contributory factors that often occur together in serious casualty crashes. The results showed that serious casualty crashes are a result of complex interactions between road user behavior, vehicle factors, road geometric characteristics, and environmental factors. Association rule analysis revealed the reasons for the occurrence of serious casualty crashes in different circumstances, based on which potential policy implications for preventing serious casualty crashes were identified. The results of this study can provide transportation agencies with useful insights for understanding why serious casualty crashes occur and developing effective policy initiatives and engineering countermeasures to reduce the fatalities and injuries of serious casualty crashes.

• Record URL:
  • https://doi.org/10.1016/j.jsr.2018.09.013
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0022437518300690
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1800052
• Supplemental Notes:
  • © 2018 National Safety Council and Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Xu, Chengcheng
  • Bao, Jie
  • Wang, Chen
  • 0000-0003-4573-9047
  • Liu, Pan
  • 0000-0001-5808-1489
• Publication Date: 2018-12

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 65-75
• Serial:
  • Journal of Safety Research
  • Volume: 67
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0022-4375
  • Serial URL: http://www.sciencedirect.com/science/journal/00224375

Subject/Index Terms

• TRT Terms: Crash analysis; Crash causes; Crash injuries; Crash severity; Fatalities; Injury severity
• Geographic Terms: China
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01684467
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 29 2018 9:34AM