The Effect of Age on Motorcyclist Injury Severities in Multi-Vehicle Motorcycle Crashes: Accounting for Unobserved Heterogeneity and Insights From Out-of-Sample Prediction

The Effect of Age on Motorcyclist Injury Severities in Multi-Vehicle Motorcycle Crashes: Accounting for Unobserved Heterogeneity and Insights From Out-of-Sample Prediction

This paper studies the factors affecting injury severities involving motorcyclists of different age groups (under 25, 25-55, 55 and above) based on the random parameter logit model. Data collected from motorcycle crashes in the UK between 2017 and 2020 are utilized. The motorcyclist injury severity...

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Bibliografiska uppgifter
Huvudupphovsmän: Yu Huang, Yanying Wang, Le Tian, Chunhui Zhang
Materialtyp: Artikel
Språk:English
Publicerad: IEEE 2023-01-01
Serie:IEEE Access
Ämnen:
Multi-vehicle motorcycle crashes
age groups
injury severity
random parameters logit model
out-of-sample prediction
Länkar:https://ieeexplore.ieee.org/document/10192409/

Internet

https://ieeexplore.ieee.org/document/10192409/

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