A note on out-of-sample prediction, marginal effects computations, and temporal testing with random parameters crash-injury severity models
Random parameters logit models have become an increasingly popular method to
investigate crash-injury severities in recent years. However, there remain potential elements …
investigate crash-injury severities in recent years. However, there remain potential elements …
Evidence of sample selectivity in highway injury-severity models: The case of risky driving during COVID-19
Research in highway safety continues to struggle to address two potentially important
issues; the role that unobserved factors may play on resulting crash and injury-severity …
issues; the role that unobserved factors may play on resulting crash and injury-severity …
Temporal stability of pedestrian injury severity in pedestrian-vehicle crashes: New insights from random parameter logit model with heterogeneity in means and …
A Zamani, A Behnood, SR Davoodi - Analytic Methods in Accident …, 2021 - Elsevier
Pedestrians can be categorized as the most vulnerable road users since they have less
protection compared to other road users, which makes their safety of utmost importance for …
protection compared to other road users, which makes their safety of utmost importance for …
Differences between day and night pedestrian-injury severities: Accounting for temporal and unobserved effects in prediction
This study explores the differences between day and night pedestrian-injury severities in
vehicle–pedestrian crashes over a five-year period using data from the state of Kansas …
vehicle–pedestrian crashes over a five-year period using data from the state of Kansas …
Addressing unobserved heterogeneity in the analysis of bicycle crash injuries in Scotland: A correlated random parameters ordered probit approach with …
This paper investigates the determinants of injury severities in single-bicycle and bicycle-
motor vehicle crashes by estimating correlated random parameter ordered probit models …
motor vehicle crashes by estimating correlated random parameter ordered probit models …
Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with …
In Thailand in 2016, more than 70% of all deaths due to road accidents were motorcyclist
deaths. This study uses a correlated random parameters ordered probit model with …
deaths. This study uses a correlated random parameters ordered probit model with …
Evaluating gender differences in injury severities of non-helmet wearing motorcyclists: accommodating temporal shifts and unobserved heterogeneity
With rapid growth in motorcycle use and relatively low helmet-wearing usage rates, injuries
and fatalities resulting from motorcycle crashes in Pakistan are a critical concern. To …
and fatalities resulting from motorcycle crashes in Pakistan are a critical concern. To …
The impact of weekday, weekend, and holiday crashes on motorcyclist injury severities: Accounting for temporal influence with unobserved effect and insights from out …
This paper examines the differences between weekday, weekend, and holiday crashes on
the severity of motorcyclist injury using four-year motorcycle crash data in Thailand from …
the severity of motorcyclist injury using four-year motorcycle crash data in Thailand from …
Spatiotemporal instability analysis of injury severities in truck-involved and non-truck-involved crashes
The truck involvement could potentially increase the crash frequency and resulted injury
outcomes and it is of great necessity to understand the similarities and differences in the …
outcomes and it is of great necessity to understand the similarities and differences in the …
A temporal assessment of distracted driving injury severities using alternate unobserved-heterogeneity modeling approaches
This study explores temporal shifts in the effects of explanatory variables on the injury
severity outcomes of crashes involving distracted driving. Using data from distracted driving …
severity outcomes of crashes involving distracted driving. Using data from distracted driving …