Are young novice driver injury-severity determinants transferable across contexts? Evidence from three international cities

Young novice drivers remain overrepresented in serious-injury crashes worldwide, yet most evidence guiding safety policy is derived from single jurisdictions, limiting understanding of whether injury-severity determinants and related policy insights are transferable across different regulatory and operating contexts. This study examines the contextual stability of young novice driver injury-severity relationships by comparing crashes involving drivers aged 18-25 across three cities with contrasting licensing systems, enforcement regimes and speed environments: London (UK), Philadelphia (USA), and Melbourne (Australia). Using police-reported crash data from 2022-2023, city-specific random parameters logit models with heterogeneity in means are estimated to capture unobserved variation in injury-severity outcomes. Pairwise likelihood-ratio tests are then used to assess the cross-jurisdiction stability of the city-specific model specifications. The tests reject model-level transferability across all city pairs, indicating substantial cross-context instability in the estimated injury-severity relationships. At the variable level, only a small number of determinants show full empirical consistency across all three cities. Female drivers are consistently associated with a lower probability of severe injury, whereas weekend crashes are consistently associated with a higher probability. By contrast, adverse weather and first-point-of-impact variables are significant across jurisdictions but exhibit differences in effect direction, while lighting conditions, speed environments, vehicle age, and traffic-control characteristics show additional city-specific variation. These findings suggest that some injury-severity relationships are more consistent across contexts, whereas others vary substantially across cities and therefore warrant local validation. Overall, the findings caution against assuming that injury-severity evidence and the policy responses informed by that evidence can be transferred directly across jurisdictions without local validation.

Authors

Institutions

Publication Details

Journal
Transport Policy
Published
2026-11-02
DOI
https://doi.org/10.1016/j.tranpol.2026.104530
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Are young novice driver injury-severity determinants transferable across contexts? Evidence from three international cities

Kayvan Aghabayk, Richard Tay, Nirajan Shiwakoti, Ali Agheli et al.
Transport Policy
Traffic and Road Safety
article

Are young novice driver injury-severity determinants transferable across contexts? Evidence from three international cities

Kayvan Aghabayk, Richard Tay, Nirajan Shiwakoti, Ali Agheli, Mahyar Hosseini
article en

Abstract

Young novice drivers remain overrepresented in serious-injury crashes worldwide, yet most evidence guiding safety policy is derived from single jurisdictions, limiting understanding of whether injury-severity determinants and related policy insights are transferable across different regulatory and operating contexts. This study examines the contextual stability of young novice driver injury-severity relationships by comparing crashes involving drivers aged 18-25 across three cities with contrasting licensing systems, enforcement regimes and speed environments: London (UK), Philadelphia (USA), and Melbourne (Australia). Using police-reported crash data from 2022-2023, city-specific random parameters logit models with heterogeneity in means are estimated to capture unobserved variation in injury-severity outcomes. Pairwise likelihood-ratio tests are then used to assess the cross-jurisdiction stability of the city-specific model specifications. The tests reject model-level transferability across all city pairs, indicating substantial cross-context instability in the estimated injury-severity relationships. At the variable level, only a small number of determinants show full empirical consistency across all three cities. Female drivers are consistently associated with a lower probability of severe injury, whereas weekend crashes are consistently associated with a higher probability. By contrast, adverse weather and first-point-of-impact variables are significant across jurisdictions but exhibit differences in effect direction, while lighting conditions, speed environments, vehicle age, and traffic-control characteristics show additional city-specific variation. These findings suggest that some injury-severity relationships are more consistent across contexts, whereas others vary substantially across cities and therefore warrant local validation. Overall, the findings caution against assuming that injury-severity evidence and the policy responses informed by that evidence can be transferred directly across jurisdictions without local validation.

Transport PolicyVol. 190
University of Tehran (IR), RMIT University (AU)
Sustainable cities and communities, Good health and well-being
Openalex Percentile: Top 15%
Traffic and Road Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon