Analysis of Injury Severity in Pedestrian Crashes Using Classification Regression Trees

Texas is considered to be an “opportunity” state by the Federal Highway Administration (FHWA), due to the high number of pedestrian crashes. Data from the Fatality Analysis Reporting System (FARS) show that the number of pedestrian fatal crashes in Texas is the third highest in the U.S and is significantly higher than the national average. The research team explored the Texas Department of Transportation (TxDOT) Crash Record Information System (CRIS) database to identify characteristics of crashes involving pedestrians in Texas. A Classification and Regression Tree (CRT) analysis of all pedestrian crashes was conducted to find the significant factors influencing the severity of crashes involving pedestrians in Texas. The classification tree identified that light condition, road class, traffic control, right shoulder width, involvement of a commercial vehicle, pedestrian age, and the collision manner, have the most influence on the severity of pedestrian crashes.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ANF10 Pedestrians.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Iragavarapu, Vichika
  • Lord, Dominique
  • Fitzpatrick, Kay
• Conference:
  • Transportation Research Board 94th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2015-1-11 to 2015-1-15
• Date: 2015

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 13p
• Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Crash analysis; Crash causes; Crash injuries; Injury severity; Pedestrian vehicle crashes; Regression analysis
• Uncontrolled Terms: Classification and regression trees
• Geographic Terms: Texas
• Subject Areas: Pedestrians and Bicyclists; Safety and Human Factors; I84: Personal Injuries;

Filing Info

• Accession Number: 01555508
• Record Type: Publication
• Report/Paper Numbers: 15-2926
• Files: TRIS, TRB, ATRI
• Created Date: Feb 27 2015 10:03AM