Segui
Asim Alogaili
Asim Alogaili
Assistant Professor, Majmaah University
Email verificata su mu.edu.sa
Titolo
Citata da
Citata da
Anno
Differences between day and night pedestrian-injury severities: Accounting for temporal and unobserved effects in prediction
A Alogaili, F Mannering
Analytic methods in accident research 33, 100201, 2022
622022
Unobserved heterogeneity and the effects of driver nationality on crash injury severities in Saudi Arabia
A Alogaili, F Mannering
Accident Analysis & Prevention 144, 105618, 2020
522020
Evidence of sample selectivity in highway injury-severity models: The case of risky driving during COVID-19
M Islam, A Alogaili, F Mannering, M Maness
Analytic methods in accident research 38, 100263, 2023
312023
Addressing potentially missing relevant information on attitudes and other behavioral elements as unobserved heterogeneity in highway safety studies
F Mannering, A Alogaili, SK Balusu
Center for Teaching Old Models New Tricks (TOMNET), 2022
2022
An Empirical Assessment of the Role of Attitudes and Identification in Safety Research
F Mannering, M Islam, A Alogaili, M Maness
Center for Teaching Old Models New Tricks (TOMNET), 2022
2022
Statistical Models of Traffic Injury Severities: The Effects of Driver Nationality and the Time-of-Day on Pedestrian Injuries
A Alogaili
University of South Florida, 2022
2022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–6