A Comparison of Pedestrian Injury Severity Crash Factors at Intersections and Non-Intersection Locations

Despite the frequent application of data-mining techniques to pedestrian injury severity analysis, few studies have compared the magnitude of injury severity factors between crash location types. In this study, the magnitude of pedestrian injury factors are compared between intersections and non-intersection locations. Data was taken from NHTSA’s 2016-2018 Crash Report Sampling System (CRSS) database, containing a nationwide sample of vehicle-pedestrian crashes. Two logit models were created using 7 independent variables: weather, lighting condition, speed limit, speeding violation, vehicle body type, driver impairment, and pedestrian age. One model was fit to 4,828 injured pedestrians at intersections. The other model was fit to 4,663 injured pedestrians at non-intersection locations. The average marginal effect of each crash factor on the probability of severe injury was calculated for both models. The difference of marginal effects was examined to determine if the factors influencing injury severity vary in magnitude at intersection or non-intersection locations. The difference between the two location types for nearly all factors was not statistically significant. This suggests that the 7 independent variables influence injury severity similarly at both intersections and non-intersection locations. The lack of a statistically significant difference may be due to limitations in the data source and warrants further investigation.

• Record URL:
  • https://annualmeeting.mytrb.org/OnlineProgram/Details/15772
• Supplemental Notes:
  • This paper was sponsored by TRB committee ACS20 Standing Committee on Safety Performance Analysis.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Koch, Zade
  • Zhao, Jinhua
  • Rangavajhala, Sirisha
  • Miraglia, Peter
• Conference:
  • Transportation Research Board 100th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2021-1-5 to 2021-1-29
• Date: 2021

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 18p

Subject/Index Terms

• TRT Terms: Alternatives analysis; Crash causes; Crash data; Data mining; Injury severity; Intersections; Location; Logits; Magnitude; Pedestrian vehicle crashes; Pedestrians; Risk analysis
• Subject Areas: Data and Information Technology; Highways; Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors;

Filing Info

• Accession Number: 01764265
• Record Type: Publication
• Report/Paper Numbers: TRBAM-21-00819
• Files: TRIS, TRB, ATRI
• Created Date: Feb 4 2021 11:00AM