Use of age–period–cohort models to estimate effects of vehicle age, year of crash and year of vehicle manufacture on driver injury and fatality rates in single vehicle …

RWG Anderson, DJ Searson - Accident Analysis & Prevention, 2015 - Elsevier
… The main feature of the preliminary (and subsequent) results for the ratio of driver fatalities
to driver injuries is the shape of the relative risk associated with vehicle cohort: the relative risk …

Examining factors affecting driver injury severity in speeding-related crashes: a comparative study across driver age groups

C Se, T Champahom, S Jomnonkwao… - … journal of injury …, 2024 - Taylor & Francis
… of driver injuries in single-vehicle speeding-related crashes, by comparing different driver
age … The findings showed that young drivers face a heightened fatality risk when speeding in …

Multimodal crash frequency modeling: Multivariate space-time models with alternate spatiotemporal interactions

W Cheng, GS Gill, JL Ensch, J Kwong, X Jia - Accident Analysis & …, 2018 - Elsevier
… the “individual driver decision-making and the potential evolution of driver decision-making …
and roadway characters, driving environment and so on). The temporal instability may play a …

A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability

M Sadeghi, K Aghabayk, M Quddus - Accident Analysis & Prevention, 2024 - Elsevier
… For instance, the variable representing other-party elder drivers and crashes occurring on
weekends had a positive effect on the probability of severe injuries, increasing their likelihood. …

Two-vehicle driver-injury severity: A multivariate random parameters logit approach

H Gong, T Fu, Y Sun, Z Guo, L Cong, W Hu… - Analytic methods in …, 2022 - Elsevier
drivers have been sustaining the highest risk of injury among all vehicle occupants. To
understand the critical factors to the driversinjury … heterogeneity and potential temporal instability, …

A note on out-of-sample prediction, marginal effects computations, and temporal testing with random parameters crash-injury severity models

Q Hou, X Huo, J Leng, F Mannering - Analytic methods in accident …, 2022 - Elsevier
… -injury severities, to explore possible temporal shifts in the effect of explanatory variables,
and to predict the resulting crash injury-… Driving on wrong lane (1 if a heavy truck is driving on …

Occupant-level injury severity analyses for taxis in Hong Kong: A Bayesian space-time logistic model

F Meng, P Xu, SC Wong, H Huang, YC Li - Accident Analysis & Prevention, 2017 - Elsevier
temporal effects for taxi driver injury severity better than the other proposed forms. Similar
results were also concluded for taxi passengers. Model 4 had the lowest DIC of the three for …

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 …, 2023 - Elsevier
… severity models, two likelihood ratio tests are conducted to assess whether the determinants
of crash-injury severity are temporally stable between 2019 and 2020. For these tests, the …

Hierarchical Bayesian random intercept model-based cross-level interaction decomposition for truck driver injury severity investigations

C Chen, G Zhang, Z Tian, SM Bogus, Y Yang - Accident Analysis & …, 2015 - Elsevier
… truck driver injurydriver injury severity is simplified to three categorical levels based on
the data size for each category and the similarities among driver injury severity levels: no injury (…

Driver profile and driving pattern recognition for road safety assessment: Main challenges and future directions

DI Tselentis, E Papadimitriou - IEEE Open Journal of Intelligent …, 2023 - ieeexplore.ieee.org
stable driving patterns vary with drivers and driving events, meaning that, eg, driver A’s
driving pattern may be similar to that of driver B in a sudden-stop event but similar to driver C in …