Title: Evaluation of Fleet Road Safety Interventions
Abstract: Work related road traffic fatalities are the largest cause of work fatalities in the UK. It is estimated that 25% of UK road accidents involve someone driving for work. This risk profile makes fleet safety an important topic for study as it can have a significant impact on the overall road toll, and on worker safety. Although many regulations relate to the operation of large trucks and buses there are fewer special regulations for those driving for work in other contexts. Fleet risk management has traditionally focused on cost control rather than employee and public safety although this has been changing. Studies have shown that changing behaviors in both drivers and the rest of the organization can make a large improvement in outcomes. This study has unique access to the detailed insurance claims data from a large UK telecoms fleet of approximately 40,000 vehicles since 2001 and information on interventions applied to manage this risk. A range of interventions have been applied to claim reduction which are based on published work. Interventions include driver training, building safety into management performance metrics and risk assessments yet it is unclear as to which intervention shows most or any impact on safety outcomes. This study outlines these actions and quantifies the effectiveness of driver training using a statistical modeling approach. The complex data represents a wide range of vehicle types (e.g. trucks and white vans and personal cars) which could be used for work related journeys, commuting or pleasure. Performance is shown to be statistically significant reduction in collisions after exposure to training. Although data consistency issues have obscured the investigation, this study has shown that management strategies and the safety culture are worthy investments
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 4
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot