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Journal Article

Citation

Koppel S, Bugeja L, Smith D, Lamb A, Dwyer J, Fitzharris M, Newstead SV, D'Elia A, Charlton J. Traffic Injury Prev. 2018; 19(2): 133-140.

Affiliation

Monash University Accident Research Centre, Monash University.

Copyright

(Copyright © 2018, Informa - Taylor and Francis Group)

DOI

10.1080/15389588.2017.1360492

PMID

28758801

Abstract

OBJECTIVE: This study used medico-legal data to investigate fatal older road user (ORU, aged 65 years and older) crash circumstances and risk factors relating to four key components of the Safe System approach (e.g., roads and roadsides, vehicles, road users and speeds) to identify areas of priority for targeted prevention activity.

METHOD: The Coroners' Court of Victoria (CCOV)'s Surveillance Database was searched to identify and describe the frequency and rate per 100,000 population of fatal ORU crashes in the Australian state of Victoria for 2013-2014. Information relating to the deceased ORU, crash characteristics and circumstances and risk factors was extracted and analyzed.

RESULTS: One hundred and thirty-eight unintentional fatal ORU crashes were identified in the CCOV Surveillance Database. Of these fatal ORU crashes, most involved older drivers (44%), followed by older pedestrians (32%), older passengers (17%), older pedal cyclists (4%), older motorcyclists (1%) and older mobility scooter users (1%). The average annual rate of fatal ORU crashes per 100,000 population was 8.1 (95% CI 6.0-10.2). In terms of the crash characteristics and circumstances, most fatal ORU crashes involved a counterpart (98%), of which the majority were passenger cars (50%), or fixed/stationary objects (25%), including trees (46%) or embankments (23%). In addition, most fatal ORU crashes occurred close to home (73%), 'on-road' (87%), on roads that were paved (94%), had light traffic volume (37%), and during 'low-risk' conditions: between 12noon-6pm (44%), on weekdays (80%), during daylight (75%) and dry/clear conditions (81%). Road user (RU) error was identified by the police and/or the coroner for the majority of fatal crashes (55%), with a significant proportion of deceased ORUs deemed to have 'failed to yield' (54%) or 'misjudged' (41%).

CONCLUSIONS: RU error was the most significant factor identified in fatal ORU crashes which suggests that there is a limited capacity of the road system to fully accommodate RU errors. Initiatives related to safer roads and roadsides, vehicles, speed zones as well as behavioral approaches are key areas of priority for targeted activity to prevent fatal ORU crashes in the future.


Language: en

Keywords

Safe System approach; fatal older road user crashes; medico-legal data; older road users; road safety

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