Literature DB >> 19540970

A new method for assessing the risk of accident associated with darkness.

Osten Johansson1, Per Ole Wanvik, Rune Elvik.   

Abstract

This paper presents a new method for assessing the risk of accidents associated with darkness. The method estimates the risk of accident associated with darkness in terms of an odds ratio, which is defined as follows: [(number of accidents in darkness in a given hour of the day)/(number of accidents in daylight in the same hour of the day)]/[(Number of accidents in a given comparison hour when the case hour is dark)/(Number of accidents in a given comparison hour when the case hour is in daylight)]. This estimate of the risk of accident associated with darkness does not require data on exposure, but relies on the count of accidents in the same pair of hours throughout the year. One of the hours is dark part of the year, but has daylight the rest of the year. The comparison hour, which has daylight the whole year, is used to control for seasonal variations. The aim of relying on the same pair of hours throughout the year is to minimise the influence of potentially confounding factors. Estimates of the risk of injury accidents associated with darkness are developed on the basis of accident data for Norway, Sweden and the Netherlands. It is found that the risk of an injury accident increases by nearly 30% in darkness in urban areas, by nearly 50% in rural areas, and by about 40% for urban and rural areas combined (adjusted estimate).

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Year:  2009        PMID: 19540970     DOI: 10.1016/j.aap.2009.04.003

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  4 in total

1.  Adverse weather conditions and fatal motor vehicle crashes in the United States, 1994-2012.

Authors:  Shubhayu Saha; Paul Schramm; Amanda Nolan; Jeremy Hess
Journal:  Environ Health       Date:  2016-11-08       Impact factor: 5.984

2.  Crash severity analysis of nighttime and daytime highway work zone crashes.

Authors:  Kairan Zhang; Mohamed Hassan
Journal:  PLoS One       Date:  2019-08-13       Impact factor: 3.240

3.  Effects of weather conditions, light conditions, and road lighting on vehicle speed.

Authors:  Annika K Jägerbrand; Jonas Sjöbergh
Journal:  Springerplus       Date:  2016-04-23

4.  Road lighting density and brightness linked with increased cycling rates after-dark.

Authors:  Jim Uttley; Steve Fotios; Robin Lovelace
Journal:  PLoS One       Date:  2020-05-15       Impact factor: 3.240

  4 in total

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