UK road accidents. Long run trends and persistence using fractional integration

• Trends and persistence of road accidents in the UK are examined in this work. • Fractional integration is the methodology used • Traditional models often fail to capture long-term effects. • By applying fractional integration, this study investigates the persistence of traffic accidents over time. • Findings provide insights into the effectiveness of past interventions for reducing accidents and improving road safety. This study analyses long-term trends and persistence in road traffic accidents in the United Kingdom using fractional integration models. Although numerous interventions have been implemented to reduce accident rates, persistent effects and temporal dynamics have received little attention, especially in accidents involving pedestrians, cyclists and drivers. Traditional approaches, based on integer differentiation, do not adequately capture these prolonged dependencies, limiting understanding of the underlying processes. Fractional integration allows for the modelling of non-stationary series with mean reversion, offering a more accurate representation of the temporal structure and persistence in the data. The results show high persistence in cyclist and pedestrian deaths, indicating that temporary interventions are insufficient to achieve sustainable reductions in accident rates. These conclusions have direct implications for public policy formulation: permanent strategies are required that include investments in safe infrastructure (segregated lanes, improved pedestrian crossings), continuous enforcement of speed limits and regulations, and monitoring systems differentiated by user type. Overall, the study provides empirical evidence on the need for structural and sustained approaches to reduce accidents.

Authors

Institutions

Publication Details

Journal
Transportation Research Interdisciplinary Perspectives
Published
2026-02-02
DOI
https://doi.org/10.1016/j.trip.2026.101882
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

UK road accidents. Long run trends and persistence using fractional integration

Jorge Moya Velasco, Luis Alberiko GIL-ALANA, Marta Torres-Polo
Transportation Research Interdisciplinary Perspectives
Traffic and Road Safety
article

UK road accidents. Long run trends and persistence using fractional integration

Jorge Moya Velasco, Luis Alberiko GIL-ALANA, Marta Torres-Polo
article en

Abstract

• Trends and persistence of road accidents in the UK are examined in this work. • Fractional integration is the methodology used • Traditional models often fail to capture long-term effects. • By applying fractional integration, this study investigates the persistence of traffic accidents over time. • Findings provide insights into the effectiveness of past interventions for reducing accidents and improving road safety. This study analyses long-term trends and persistence in road traffic accidents in the United Kingdom using fractional integration models. Although numerous interventions have been implemented to reduce accident rates, persistent effects and temporal dynamics have received little attention, especially in accidents involving pedestrians, cyclists and drivers. Traditional approaches, based on integer differentiation, do not adequately capture these prolonged dependencies, limiting understanding of the underlying processes. Fractional integration allows for the modelling of non-stationary series with mean reversion, offering a more accurate representation of the temporal structure and persistence in the data. The results show high persistence in cyclist and pedestrian deaths, indicating that temporary interventions are insufficient to achieve sustainable reductions in accident rates. These conclusions have direct implications for public policy formulation: permanent strategies are required that include investments in safe infrastructure (segregated lanes, improved pedestrian crossings), continuous enforcement of speed limits and regulations, and monitoring systems differentiated by user type. Overall, the study provides empirical evidence on the need for structural and sustained approaches to reduce accidents.

Transportation Research Interdisciplinary PerspectivesVol. 36
Universidad Francisco de Vitoria (ES), Universidad Cardenal Herrera CEU (ES), Universidad Autónoma de Madrid (ES), Universidad de Navarra (ES)
Openalex Percentile: Top 75%
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.

UK road accidents. Long run trends and persistence using fractional integration — Jorge Moya Velasco, Luis Alberiko GIL-ALANA, et al. · Transportation Research Interdisciplinary Perspectives (2026) | TGRS Research Map | TGRS