STATISTICAL ANALYSIS OF ACCIDENT SEVERITY ON RURAL FREEWAYS

The growing concern about the possible safety-related impacts of Intelligent Transportation Systems (ITS) has focused attention on the need to develop new statistical approaches to predict accident severity. This paper presents a nested logit formulation as a means for determining accident severity given that an accident has occurred. Four levels of severity are considered: 1) property damage only; 2) possible injury; 3) evident injury; and, 4) disabling injury or fatality. Using a 5-year accident data from a 61 km section of rural interstate in Washington State, we estimated a nested logit model of accident severity. The estimation results provide valuable evidence on the effect that environmental conditions, highway design, accident type, driver characteristics and vehicle attributes have on accident severity. Our findings show that the nested logit formulation is a promising approach to evaluate the impacts that ITS or other safety-related countermeasures may have on accident severities.

  • Availability:
  • Corporate Authors:

    Elsevier

    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • Shankar, V
    • Mannering, F
    • Barfield, W
  • Publication Date: 1996-5

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00723729
  • Record Type: Publication
  • Report/Paper Numbers: HS-042 305
  • Files: HSL, TRIS
  • Created Date: Jul 30 1996 12:00AM