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Sökning: WFRF:(af Wåhlberg Anders)

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1.
  • af Wåhlberg, Anders, 1965-, et al. (författare)
  • Absence behaviour as traffic crash predictor in bus drivers
  • 2009
  • Ingår i: Journal of Safety Research. - : Elsevier BV. - 0022-4375 .- 1879-1247. ; 40:3, s. 197-201
  • Tidskriftsartikel (refereegranskat)abstract
    • Problem Various indicators of health have been shown to be associated with traffic crash involvement. As general health is also related to absence from work, the latter variable may be more strongly related to crashes, especially for professional drivers. Method Bus driver absence from work was analyzed in association with their crash records. Two British samples and one Swedish sample were used. Results One of the British samples yielded fair correlations between crash record and absence, while for the other the effect was restricted to the first three months of driving. The Swedish data had effects in the expected direction but these were not significant. Discussion The use of an indirect, overall measurement of health, may be a viable method for predicting the traffic crash involvement for professional drivers, although replications are needed in larger samples and other populations. Impact on industry The use of absence records for the identification of at risk drivers would seem to be a simple and useful method for companies with major fleets, and it also shows the importance of promoting employee health and well being at work as a potential method of reducing the cost, not only of absenteeism, but also of crashes in company vehicles.
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3.
  • af Wåhlberg, Anders, 1965- (författare)
  • Changes in Driver Celeration Behavior over Time : do Drivers Learn from Collisions?
  • 2012
  • Ingår i: Transportation Research Part F. - : Elsevier BV. - 1369-8478 .- 1873-5517. ; 15:5, s. 471-479
  • Tidskriftsartikel (refereegranskat)abstract
    • Although it is well known that drivers’ accident risk changes with experience, it has never been specified exactly how this comes about in terms of changes of behaviour, or what features of their experiences are important for this change. One possibility is that drivers learn from their collision involvement, and change their behaviour after such events, as some studies indicate. However, relative accident involvement tends to be very stable over time, which indicates the opposite. Repeated measurements of celeration (speed change) behaviour of bus drivers were compared between two groups; drivers without accidents within the measurement period (about 3 years), and drivers with at least one crash. For the crash group, there was a steady decline in their celeration values over time, but this was not related to their crashes. A similar reduction was also present for the non-crash sample. The results would seem to be in agreement with the theory of accident proneness; there exist stability in driver behaviour over time, despite accident involvement. However, this stability is relative within the sample, and not absolute. The reduction in celeration values for both groups over time would seem to indicate that drivers learn from their experiences in general, but not specifically from accidents. The present study seems to indicate that daily experience of driving situations is the strongest factor for changes in driving behaviour.
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5.
  • Af Wåhlberg, Anders, et al. (författare)
  • Commentary on the rebuttal by de Winter and Dodou.
  • 2012
  • Ingår i: Journal of Safety Research. - : Elsevier BV. - 0022-4375 .- 1879-1247. ; 43:1, s. 90-3
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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6.
  • af Wåhlberg, Anders, 1965-, et al. (författare)
  • Culpable versus non-culpable traffic accidents; what is wrong with this picture?
  • 2007
  • Ingår i: Journal of Safety Research. - : Elsevier BV. - 0022-4375 .- 1879-1247. ; 38:4, s. 453-459
  • Tidskriftsartikel (refereegranskat)abstract
    • Introduction: It is often implicitly or explicitly assumed in traffic accident research that drivers with accidents designated as non-culpable are a random sample from the population. However, this assumption is dependent upon differences in the criterion used for culpability. If drivers are erroneously categorized by assuming randomness, results could be grossly misleading. Method: The assumption of randomness leads to two predictions: first, no correlation should exist between culpable and non-culpable crashes; and second, the accident groups should differ on the variables known to be associated with accidents, such as amount of driving experience. These predictions were tested in two samples of bus drivers. Results: It was found that in a sample with a harsh criterion (70% culpable accidents) for crash responsibility, the drivers with non-culpable accidents had the features expected, namely, they were more experienced for example, while in a sample with a lenient criterion (50 % culpable), this was not so. Discussion: It was concluded that similar studies to the present one would need to be undertaken to establish exactly what percentage of drivers in a given population should be assigned culpable accidents, and construct a criterion that yields this ratio. Otherwise, the theoretical assumptions of randomness and non-responsibility will probably be violated to some degree. Impact on Industry: Many estimates of risk of crash involvement may have been wrong. Given the potential for erroneous criteria, a number of studies may make invalid assumptions from their data.
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7.
  • af Wåhlberg, Anders (författare)
  • Differential accident involvement of bus drivers
  • 2005
  • Ingår i: Driver Behaviour and Training. - Aldershot : Ashgate. - 0754644308 ; , s. 383-391
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • The relations between 552 bus drivers' low-speed traffic incidents (without consideration of culpability) and their age, exposure (hours of work) and experience (years as a bus driver) were calculated using bus company data from the Swedish city of Uppsala for the years 1999-2003. It was found that risk decreases with age and experience, with experience as the strongest factor, carrying the effect. Exposure (hours worked) had a curvilinear association to accidents. Also, the use of accidents per work hour yielded more easily interpreted results than the absolute number, indicating the importance of taking exposure into account when predicting accidents. These results are mainly in agreement with previous studies on other road user groups. However, two different ways of calculating age effects (individual and group level) gave somewhat different results, indicating that a fairly popular method of calculating risk indexes may be faulty. Furthermore, time for holding a car driver's license did not influence bus accident liability, despite being strongly correlated with age, indicating that bus driving is separate from car driving experience. Also, the extremely small amount of variance accounted for by experience and age point to the importance of other factors, although there seem to be a strong effect during the first years of driving, which thereafter levels off.
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10.
  • af Wåhlberg, Anders, 1965- (författare)
  • Driver celeration behavior and the prediction of traffic accidents
  • 2006
  • Ingår i: International Journal of Occupational Safety and Ergonomics. - 1080-3548 .- 2376-9130. ; 12:3, s. 281-296
  • Tidskriftsartikel (refereegranskat)abstract
    • A study was undertaken to investigate whether driver celeration (overall mean speed change) behavior can predict traffic accident involvement. Also, to test whether acceleration, deceleration or the combined celeration measure was the better predictor. Bus driver celeration behavior was measured repeatedly in real traffic, driving en route, and correlated with accidents for which the drivers were deemed at least partly responsible. Correlations around. 20 were found in several samples between celeration behavior and culpable accidents for a 2-year period. The results show that although celeration behavior is only semi-stable over time, it predicts with some accuracy individual accident involvement over 2 years. The predictive power of acceleration and deceleration was slightly lower than the combined measure, in accordance with theory. The correlations found were strong enough to warrant the use of celeration behavior as a predictive variable for transportation companies in their safety work.
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