ON THE USE OF REGRESSION MODELS IN THE STUDY OF ROAD ACCIDENTS

THE EXPECTED NUMBER OF ACCIDENTS A CERTAIN DAY IS ASSUMED TO DEPEND ON SOME REGRESSION VARIABLES. THE NUMBER OF ACCIDENTS IS ASSUMED TO BE NORMALLY DISTRIBUTED, THE VARIANCE BEING CONSIDERED FOR ALL THE DAYS CONSIDERED. NUMBER OF ACCIDENTS ON DIFFERENT DAYS ARE FURTHER ASSUMED TO BE INDEPENDENT. THE REGRESSION PLANES CORRESPONDING TO DIFFERENT PERIODS CAN THEN BE COMPARED BY THE HELP OF SIMULTANEOUS CONFIDENCE REGIONS. THE ASSUMPTIONS ARE DISCUSSED AND ELUCIDATED BY DATA AND CONFIDENCE REGIONS ARE ILLUSTRATED. COMPARISONS ARE ALSO MADE WITH THE RESULTS OBTAINED WHEN THE NUMBER OF ACCIDENTS IS ENSTEAD ASSUMED TO BE POISSON DISTRIBUTED. /AUTHOR/

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
• Supplemental Notes:
  • Vol 1, No 4, PP 315-321, 7 FIGS, 7 PHOT, 3 REF
• Authors:
  • Gustavsson, J
• Publication Date: 1969-12

Media Info

• Serial:
  • Accident Analysis & Prevention
  • Publisher: Elsevier
  • ISSN: 0001-4575
  • Serial URL: http://www.sciencedirect.com/science/journal/00014575

Subject/Index Terms

• TRT Terms: Crashes; Days; Mathematical models; Poisson ratio; Regression analysis
• Old TRIS Terms: Poissons ratio
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 00220977
• Record Type: Publication
• Source Agency: Nat Safety Council Safety Res Info Serv
• Files: TRIS
• Created Date: Oct 19 1970 12:00AM