Injury risk curves for motorcycles in the United States

This study provides the first comprehensive injury risk models for motorcycle-involved two-vehicle collisions in the U.S., offering critical insights into the role of speed and vehicle orientation in injury outcomes. While further validation with larger datasets is required, the findings serve as a foundation for the evaluation of the safety benefits of emerging traffic safety systems.

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Publication Details

Journal
Traffic Injury Prevention
Published
2025-10-09
DOI
https://doi.org/10.1080/15389588.2025.2556958
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Injury risk curves for motorcycles in the United States

Paolo Terranova, Zachary R. Doerzaph, Feng Guo, Miguel A. Pérez
Traffic Injury Prevention
Traffic and Road Safety
article

Injury risk curves for motorcycles in the United States

Paolo Terranova, Zachary R. Doerzaph, Feng Guo, Miguel A. Pérez
article en

Abstract

This study provides the first comprehensive injury risk models for motorcycle-involved two-vehicle collisions in the U.S., offering critical insights into the role of speed and vehicle orientation in injury outcomes. While further validation with larger datasets is required, the findings serve as a foundation for the evaluation of the safety benefits of emerging traffic safety systems.

Traffic Injury Prevention
Virginia Tech Transportation Institute, Virginia Tech (US)
Openalex Percentile: Top 66%
Traffic and Road Safety
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