Accident; analysis and prevention
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A number of epidemiological studies have reported drivers who use a mobile phone while driving have an elevated risk of being involved in a crash. This is particularly concerning as a survey of drivers in the Spanish region of Catalunya found that approximately 87% own mobile phones. The present study investigated the reported frequency of mobile phone use on Spanish roads (for talking and using SMS), the characteristics of the drivers who use mobile phones while driving and whether they altered their driving behaviour when using a mobile phone. ⋯ On urban roads almost half of the drivers reported changing their driving behaviour when using a mobile phone, while on the highway this figure was slightly over 41%. The reported frequency of using a mobile phone to talk on urban roads was significantly correlated with crash involvement. However, this affect disappeared once the contributions of the demographic and descriptive variables had been partialled out.
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This study was conducted to determine the prevalence and reliability of risk factors collected on uninjured cyclists-pedestrians in Edmonton, Alberta, and what characteristics predict cyclist-pedestrian visibility. At randomly selected locations from July 2004 to August 2004, two independent observers recorded cyclist-pedestrian characteristics such as age, sex, clothing color, use of reflectors, flags, helmets, and a subjective impression of visibility. Data were collected on 836 individuals; most were either walking/jogging (approximately 63%) or cycling (approximately 33%). ⋯ A major trunk color of orange, red, yellow or white resulted in a higher visibility rating for both cyclists and pedestrians. The results indicate a low prevalence of visibility aid use among cyclists and pedestrians, but there appears to be acceptable inter-observer reliability for most data collected. Further work is required before an overall visibility rating can be used in place of component scores.
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Roundabouts are known to result in fewer traffic accidents than traditional intersections. However, this is to a lesser degree true for bicycles than for vehicles. In this paper, we aimed at establishing statistical relationships through Poisson regression and logistic regression analyses between yearly rate of cyclist accidents on one hand and roundabout geometry, age and traffic volume (vehicles and cyclists) on the other. ⋯ This stresses the significance of speed and traffic volume for traffic accidents with more than one partner involved. The 48 single cyclist accidents were significantly related to the traffic volume of cyclists only. Due to our limited number of observations, the models should be regarded as indicative.