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• W2296942538 abstract "A growing concern on large-truck crashes increased over the years due to the potential economic impacts and level of injury severity. This study aims to analyze the injury severities of multi-vehicle large-trucks crashes on national highways. To capture and understand the complexities of contributing factors, two random parameter discrete outcome models – random parameter ordered probit and mixed logit – were estimated to predict the likelihood of five injury severity outcomes: fatal, incapacitating, non-incapacitating, possible injury, and no-injury. Estimation findings indicate that the level of injury severity is highly influenced by a number of complex interactions of factors, namely, human, vehicular, road-environmental, and crash dynamics that can vary across the observations." @default.
• W2296942538 created "2016-06-24" @default.
• W2296942538 creator A5065940261 @default.
• W2296942538 date "2015-03-01" @default.
• W2296942538 modified "2023-10-03" @default.
• W2296942538 title "Multi-Vehicle Crashes Involving Large Trucks: A Random Parameter Discrete Outcome Modeling Approach" @default.
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• W2296942538 doi "https://doi.org/10.5399/osu/jtrf.54.1.4273" @default.
• W2296942538 hasPublicationYear "2015" @default.
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