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October 11, 2025Traffic Injury Prevention

Injury risk curves for motorcycles in the United States

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Authors

PTPaolo TerranovaFGFeng GuoZDZachary R. Doerzaph

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Overview

This study reveals injury risk patterns in motorcycle crashes, highlighting speed and orientation's impact on outcomes.

Key Points

  • The analysis shows that front-end motorcycle collisions are the most hazardous, leading to higher injury rates.
  • The models utilize data from the Motorcycle Crash Causation Study, revealing clear trends in injury likelihood based on speed.
  • Using multivariate regression, the study accounts for crucial factors like rider age and helmet use in injury prediction.
  • Further validation with larger datasets is necessary to enhance the model's reliability and applicability.

Cite This Study

Terranova et al. (2025) studied this question.

synapsesocial.com/papers/68e9b1b5ba7d64b6fc132095https://doi.org/10.1080/15389588.2025.2556958
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