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Investigating the vulnerability of motorcyclists to crashes and injury [R20]

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DataCite Commons2023-11-27 更新2025-04-16 收录
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https://dataverse.unc.edu/citation?persistentId=doi:10.15139/S3/3OG6XM
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资源简介:
This study examines various key risk factors associated with the injury severity of motorcycle crashes, such as riders’ helmet type and coverage, experience, and alcohol and multiple drug usage. From a methodological standpoint, a developed corner solution framework addressing both uncorrelated and correlated unobserved heterogeneity. The study analyzes extensive data from the MCCS (FHWA) for 321 injury crashes involving motorcycles. The Injury Severity Score (ISS), which accounts for multiple injuries sustained by different body parts of the riders, is the response variable. Compared to ISS, AIS tends to underestimate the injury severity sustained by the rider. ISS provides a more accurate approximation to mortality prediction.
提供机构:
UNC Dataverse
创建时间:
2023-10-17
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