All Research Papers Published In Accident Analysis & Prevention

Research Article
10.1016/s0001-4575(25)00460-9

Editorial Board

Mar 01, 2026
Accident Analysis & Prevention

Research Article
10.1016/s0001-4575(25)00431-2

Editorial Board

Feb 01, 2026
Accident Analysis & Prevention

Front Matter
10.1016/s0001-4575(24)00173-8

Editorial Board

Jul 01, 2024
Accident Analysis & Prevention

Research Article
6
10.1016/j.aap.2024.107539

Effects of executive load on crashes and near-crashes for young versus older drivers

Apr 11, 2024
Accident Analysis & Prevention
Keith A Sullivan + 2 more +2

Research Article
3
10.1016/j.aap.2024.107566

Implementation of a realistic artificial data generator for crash data generation

Apr 03, 2024
Accident Analysis & Prevention
Lauren Hoover + 9 more +9

Research Article
15
10.1016/j.aap.2024.107493

A spatiotemporal deep learning approach for pedestrian crash risk prediction based on POI trip characteristics and pedestrian exposure intensity

Apr 01, 2024
Accident Analysis & Prevention
Manze Guo + 2 more +2

Front Matter
5
10.1016/j.aap.2024.107543

Crash causation, countermeasures, and policy – Editorial

Mar 16, 2024
Accident Analysis & Prevention
David Shinar + 1 more +1

Research Article
20
10.1016/j.aap.2024.107537

On the impact of on-road partially-automated driving on drivers’ cognitive workload and attention allocation

Mar 11, 2024
Accident Analysis & Prevention
Francesco N Biondi + 1 more +1

The use of partially-automated or SAE level-2 vehicles is expected to change the role of the human driver from operator to supervisor, which may have an effect on the driver’s workload and visual attention. In this study, 30 Ontario drivers operated a vehicle in manual and partially-automated mode. Cognitive workload was measured by means of the Detection Response Task, and visual attention was measured by means of coding glances on and off the forward roadway. No difference in cognitive workload was found between driving modes. However, drivers spent less time glancing at the forward roadway, and more time glancing at the vehicle’s touchscreen. These data add to our knowledge of how vehicle automation affects cognitive workload and attention allocation, and show potential safety risks associated with the adoption of partially-automated driving.

Research Article
10
10.1016/j.aap.2024.107477

Investigating the dynamics of collective behavior among pedestrians crossing roads: A multi-user virtual reality approach

Feb 15, 2024
Accident Analysis & Prevention
Jae-Hong Kwon + 2 more +2

Research Article
20
10.1016/j.aap.2024.107498

Short-term Safety Performance Functions by Random Parameters Negative Binomial-Lindley model for Part-time Shoulder Use

Feb 14, 2024
Accident Analysis & Prevention
Tarek Hasan + 1 more +1