2021
DOI: 10.1016/j.ssci.2020.105083
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Motor vehicle driver injury severity analysis utilizing a random parameter binary probit model considering different types of driving licenses in 4-legs roundabouts in South Australia

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Cited by 24 publications
(4 citation statements)
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“…Considering this formula, the probit model specifies the conditional probability and is a special case of Eq. ( 1) [19][20][21]. Using the presented probit model, the probability of being severe injury crash (i.e., š‘¦š‘¦ takes on the value 1) is computed.…”
Section: Theoretical Methodologymentioning
confidence: 99%
“…Considering this formula, the probit model specifies the conditional probability and is a special case of Eq. ( 1) [19][20][21]. Using the presented probit model, the probability of being severe injury crash (i.e., š‘¦š‘¦ takes on the value 1) is computed.…”
Section: Theoretical Methodologymentioning
confidence: 99%
“…To account for unobserved effect (see Mannering, Shankar, and Bhat (2016)), a random parameter binary probit with heterogeneity in means and variance (RPMHMV) was adopted. See Tay (2015) and Zubaidi, Obaid, Alnedawi, and Das (2021) for binary probit modelling with random parameters and see Seraneeprakarn et al (2017) and Se, Champahom, Jomnonkwao, Karoonsoontawon, and Ratanavaraha (2021) for how to allow explanatory variables to influence means and variances of random parameters. This study used the simulated maximum likelihood estimation with 200 Halton draws.…”
Section: Methodsmentioning
confidence: 99%
“…Al-Askari District ranked first in the number of crashes with 707 traffic crashes, followed by Al-Urouba District with 379 traffic crashes, Al-Wahda District with 271 traffic crashes, Al-Jamhouri District with 235 traffic crashes, Al-Jazaer District with 212 traffic crashes. Therefore, it is important to evaluate the condition of pavement in these Districts where the number of traffic crashes is high to know the effect of pavement defects on the accident rate [12] [13] [14]. other road information such as the number of lanes, the presence of medians, and street width was collected to study their effect on the condition of the pavement and the number of crashes.…”
Section: Data Descriptionmentioning
confidence: 99%