Analyzing Accidents and Developing Elderly Driver-targeted Measures Based on Accident and Violation Records

For this study, the author performed a variety of analyses using the Institute for Traffic Accident Research and Data Analysis' Integrated Driver Database with traffic accident and violation records. The database integrates driver management data and road traffic accident statistics data, making it possible to explore the relationships among driver attributes and road traffic accident characteristics in considerable detail. By controlling the author compilation conditions and refining the sets of driver attributes, the analysis showed that drivers who experience accidents drive more carefully immediately after an accident, revealed high accident rates among drivers who have experienced certain violations, and produced other findings that could constitute a foundation for developing individual driver-targeted measures. The author analysis of large age groups, meanwhile, showed that drivers with a history of numerous accidents or apprehensions/violations are more likely to cause accidents. The Integrated Driver Database with traffic accident and violation records boasts an expansive scope, covering all of the 81 million licensed drivers in Japan, and features 200 variables pertaining to driver attributes, accidents, and violations. In addition to letting users refine their focuses by driver age, sex, and place of residence, the database also enables analyses that account for lifestyle-related variables like when drivers received their licenses and whether drivers have moved to new addresses. The sheer diversity of driver attributes in the database makes it a promising resource for formulating driver-targeted measures.

• Record URL:
  https://doi.org/10.1016/j.iatssr.2015.05.001
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0386111215000151
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03861112
• Supplemental Notes:
  • © 2015 Yasushi Nishida. Abstract reprinted with permission of Elsevier.
• Authors:
  • Nishida, Yasushi
• Publication Date: 2015-7

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 26-35
• Serial:
  • IATSS Research
  • Volume: 39
  • Issue Number: 1
  • Publisher: Elsevier
  • ISSN: 0386-1112
  • Serial URL: http://www.sciencedirect.com/science/journal/03861112
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Aged drivers; Crash analysis; Crash data; Crash rates; Databases; Traffic violations
• Geographic Terms: Japan
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01571934
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 30 2015 5:30PM