2004Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)Open access

THE ACCIDENT RISK OF MOTORCYCLISTS

B Sexton, C J Baughan, Mark A. Elliott, G Maycock

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Abstract

This report contains the findings of a study to explore and quantify the interacting influences which determine motorcyclist accident liabilities. It was conducted on behalf of Road Safety Division, Department for Transport. The study first reviewed existing data sources to investigate the trends in motorcycling accidents over the last decade or so. The main part of the study was to carry out a survey of nearly 30,000 current motorcyclists in order to explore the relationship between accident risk and variables such as annual mileage, age, experience, journey type, training, personal characteristics of the riders, and the self-reported behaviours and attitudes of the riders. The numbers of accidents reported by riders within the past 12-months of riding were modelled using generalised linear techniques to take into account factors such as mileage, age, experience, bike size and the conditions prevailing when they rode. Models of rider behaviour were developed using other statistical modelling techniques. These models investigated how attitudes/motivations/perceptions and rider style influence rider behaviour, and how rider behaviour influences the likelihood of accident involvement. The influence of age, sex and experience on attitudes and behaviours, and as direct or indirect influences on accidents were also investigated. Accident risk was also directly influenced by the number of miles ridden in the past 12-months. The report makes a number of recommendations for improving the safety of motorcycle riders.

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What this paper is about

This report contains the findings of a study to explore and quantify the interacting influences which determine motorcyclist accident liabilities. It was conducted on behalf of Road Safety Division, Department for Transport. The study first reviewed existing data sources to investigate the trends in motorcycling accidents over the last decade or so. The main part of the study was to carry out a survey of nearly 30,000 current motorcyclists in order to explore the relationship between accident risk and variables such as annual mileage, age, experience, journey type, training, personal characteristics of the riders, and the self-reported behaviours and attitudes of the riders. The numbers of accidents reported by riders within the past 12-months of riding were modelled using generalised linear techniques to take into account factors such as mileage, age, experience, bike size and the conditions prevailing when they rode. Models of rider behaviour were developed using other statistical modelling techniques. These models investigated how attitudes/motivations/perceptions and rider style influence rider behaviour, and how rider behaviour influences the likelihood of accident involvement. The influence of age, sex and experience on attitudes and behaviours, and as direct or indirect influences on accidents were also investigated. Accident risk was also directly influenced by the number of miles ridden in the past 12-months. The report makes a number of recommendations for improving the safety of motorcycle riders.

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Available abstract

This report contains the findings of a study to explore and quantify the interacting influences which determine motorcyclist accident liabilities. It was conducted on behalf of Road Safety Division, Department for Transport. The study first reviewed existing data sources to investigate the trends in motorcycling accidents over the last decade or so. The main part of the study was to carry out a survey of nearly 30,000 current motorcyclists in order to explore the relationship between accident risk and variables such as annual mileage, age, experience, journey type, training, personal characteristics of the riders, and the self-reported behaviours and attitudes of the riders. The numbers of accidents reported by riders within the past 12-months of riding were modelled using generalised linear techniques to take into account factors such as mileage, age, experience, bike size and the conditions prevailing when they rode. Models of rider behaviour were developed using other statistical modelling techniques. These models investigated how attitudes/motivations/perceptions and rider style influence rider behaviour, and how rider behaviour influences the likelihood of accident involvement. The influence of age, sex and experience on attitudes and behaviours, and as direct or indirect influences on accidents were also investigated. Accident risk was also directly influenced by the number of miles ridden in the past 12-months. The report makes a number of recommendations for improving the safety of motorcycle riders.

Key concepts: Accident (philosophy), Engineering, Human factors and ergonomics, Risk perception, Psychology, Poison control, Perception, Transport engineering

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