Cargando…
Severity analysis of crashes involving in-state and out-of-state large truck drivers in Alabama: A random parameter multinomial logit model with heterogeneity in means and variances
The trucking sector contributes significantly to the economic vitality of the United States. Large trucks are primarily used for transporting goods within and across states. Despite its economic importance, large truck crashes constitute public safety concerns. To minimize the consequences, there is...
Autores principales: | Okafor, Sunday, Adanu, Emmanuel Kofi, Jones, Steven |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720575/ https://www.ncbi.nlm.nih.gov/pubmed/36478813 http://dx.doi.org/10.1016/j.heliyon.2022.e11989 |
Ejemplares similares
-
How did the COVID-19 pandemic affect road crashes and crash outcomes in Alabama?
por: Adanu, Emmanuel Kofi, et al.
Publicado: (2021) -
Factors affecting bus accident severity in Thailand: A multinomial logit model
por: Mahikul, Wiriya, et al.
Publicado: (2022) -
An ethnobiological study in Kala Chitta hills of Pothwar region, Pakistan: multinomial logit specification
por: Arshad, Muhammad, et al.
Publicado: (2014) -
On the development of a semi-nonparametric generalized multinomial logit model for travel-related choices
por: Wang, Ke, et al.
Publicado: (2017) -
Children’s Independent Mobility to School in Seven European Countries: A Multinomial Logit Model
por: Masoumi, Houshmand, et al.
Publicado: (2020)