A comprehensive and unified framework for analysing the effects on injuries of measures influencing speed. (April 2019)

• Record Type: Journal Article
• Authors: Elvik, Rune
• Is Part Of: Accident analysis and prevention. Volume 125(2019)
• Page Start: 63
• Page End: 69
• Publication Date: 2019-04
• Subjects: Speed -- Distribution -- Variance -- Exponential model -- Analytic framework; Accidents -- Prevention -- Periodicals; Accident Prevention -- Periodicals; Accidents -- Prévention -- Périodiques; 363.106
• DOI: 10.1016/j.aap.2019.01.033
• Languages: English
• ISSNs: 0001-4575

Abstract

Highlights: A comprehensive method for analysing the effect of changes in speed. A speed distribution is specified. Higher speeds have higher risks than lower speeds. Changes in speed distribution are modelled. Abstract: This paper proposes a comprehensive and unified framework for analysing the impacts on traffic injury of measures influencing speed. The key tool for analysis is a specification of the speed distribution, which in most cases closely approximates a standard normal distribution. The speed distribution can be represented, for example, by twelve intervals each comprising one half standard deviation. The exponential model of the relationship between speed and the number of injured road users is applied to estimate the expected injury rate for drivers travelling at the mean speed of any part of the distribution. The relationship between individual driver speed and accident involvement is then incorporated into the speed distribution. A speed distribution specified this way represents both the mean speed of traffic and the variation in speed-related risk between drivers. Impacts of changes in speed that can be modelled include: (1) Shifting the whole speed distribution, (2) Compressing the upper end of the speed distribution, (3) Enlarging or reducing the variance of the speed distribution, (4) Selective changes in specific regions of the speed distribution. Examples are given of how knowledge of the impacts of measures on speed can be translated into expected changes in the number of injured road users by relying on the analytic framework.