An improved approach for association rule mining using a multi-criteria decision support system: a case study in road safety

PURPOSE: Road accidents have come to be considered a major public health problem worldwide. The aim of many studies is therefore to identify the main factors contributing to the severity of crashes. METHODS: This paper examines a large-scale data mining technique known as association rule mining, which can predict future accidents in advance and allow drivers to avoid the dangers. However, this technique produces a very large number of decision rules, preventing decision makers from making their own selection of the most relevant rules. In this context, the integration of a multi-criteria decision analysis approach would be particularly useful for decision makers affected by the redundancy of the extracted rules. CONCLUSION: An analysis of road accidents in the province of Marrakech (Morocco) between 2004 and 2014 shows that the proposed approach serves this purpose; it may provide meaningful information that could help in developing suitable prevention policies to improve road safety.

• Record URL:
  https://doi.org/10.1007/s12544-017-0257-5
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18668887
• Supplemental Notes:
  • © 2017 Addi Ait-Mlouk et al.
• Authors:
  • Ait-Mlouk, Addi
  • 0000-0003-0385-9390
  • Gharnati, Fatima
  • Agouti, Tarik
• Publication Date: 2017-9

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 13p
• Serial:
  • European Transport Research Review
  • Volume: 9
  • Issue Number: 3
  • Publisher: Springer Publishing
  • ISSN: 1866-8887
  • EISSN: 1867-0717
  • Serial URL: http://link.springer.com/journal/12544
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Case studies; Crash risk forecasting; Decision support systems; Highway safety; Multiple criteria decision making
• Geographic Terms: Marrakech (Morocco)
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01642666
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 28 2017 5:14PM