Evaluating risk factors associated with fatalities among powered two-wheeler crashes in the United States

The significant influence of opponent vehicle type on fatality risk in crashes involving PTWs highlights the need for further investigation into vehicle-specific crash prevention and mitigation strategies, especially for light and heavy trucks. Similarly, the high variability in fatality odds across different crash configurations underscores the importance of integrating impact orientation surrogate variables into injury prediction models. The speed-fatality prediction model developed in this study provides a foundational framework for evaluating the effectiveness of advanced rider assistance systems and other safety interventions that reduce crash speed. Future research should explore the benefits of such measures through simulation and real-world testing.

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Publication Details

Journal
Traffic Injury Prevention
Published
2025-05-06
DOI
https://doi.org/10.1080/15389588.2025.2494235
Citations
2
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
2.61
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article

Evaluating risk factors associated with fatalities among powered two-wheeler crashes in the United States

Paolo Terranova, Feng Guo, Miguel A. Pérez
2 citations
Traffic Injury Prevention
Traffic and Road Safety
2.61
article

Evaluating risk factors associated with fatalities among powered two-wheeler crashes in the United States

Paolo Terranova, Feng Guo, Miguel A. Pérez
article en
2 citations

Abstract

The significant influence of opponent vehicle type on fatality risk in crashes involving PTWs highlights the need for further investigation into vehicle-specific crash prevention and mitigation strategies, especially for light and heavy trucks. Similarly, the high variability in fatality odds across different crash configurations underscores the importance of integrating impact orientation surrogate variables into injury prediction models. The speed-fatality prediction model developed in this study provides a foundational framework for evaluating the effectiveness of advanced rider assistance systems and other safety interventions that reduce crash speed. Future research should explore the benefits of such measures through simulation and real-world testing.

Traffic Injury PreventionVol. 27(2)
Virginia Tech (US)
Openalex Percentile: Top 12%
Traffic and Road Safety
2.61
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