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Environmental determinants of celeration behaviour

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Celeration (speed change) behaviour of drivers has been posited to be the best predictor of their traffic accident involvement. The origins of this behaviour, however, have not been specified. A model is therefore introduced, where celeration is partly due to the individual disposition of the driver (i.e., driving style), and partly to the environment (road layout, rules and traffic density). Three measurement problems for celeration were studied; the effect of traffic density, of regular versus irregular routes, and weight of the vehicle (loaded/unloaded) on celeration behaviour. Two small samples of truck drivers in Sweden were measured for several months each. There was a strong effect of vehicle load, with behaviour being more cautious with increased weight. Driving on different roads also yielded differences in behaviour, although the design used did not permit conclusions about what caused these. Traffic volume was not found to have any reliable effect on celeration.
Rocznik
Strony
71--79
Opis fizyczny
Bibliogr. 23 poz.
Twórcy
  • Uppsala University, Sweden
Bibliografia
  • 1. Greenshields BD, Platt FN. Development of a method of predicting high-accident and high-violation drivers. J Appl Psychol. 1967;51:205-210. doi: 10.1037/h0024690
  • 2. Safren M, Cohen S, Schlesinger L. The Drivometer as a measure of driving skill. J Saf Res. 1970;2:30-35.
  • 3. Wilson T, Greensmith J. Multivariate analysis of the relationship between drivometer variables and drivers’ accident sex and exposure status. Hum Factors. 1983;25:303-312.
  • 4. af Wåhlberg AE. Driver celeration behavior and accidents - an analysis. Theor Issues Ergon Sci. 2008;9:383-403. doi: 10.1080/14639220701596722
  • 5. af Wåhlberg AE. Speed choice versus celeration behavior as traffic accident predictor. J Saf Res. 2006;37:43-51. doi: 10.1016/j.jsr.2005.10.017
  • 6. af Wåhlberg AE. Driver celeration behavior and the prediction of traffic accidents. International J Occup Saf Ergon. 2006;12:281-296. doi: 10.1080/10803548.2006.11076690
  • 7. af Wåhlberg AE. Long-term prediction of traffic accident record from bus driver celeration behavior. Int J Occup Saf Ergon. 2007;13:159-171.
  • 8. af Wåhlberg AE. The relation of non-culpable traffic incidents to bus drivers' celeration behavior. J Saf Res. 2008;39:41-46. doi: 10.1016/j.jsr.2007.10.009
  • 9. Sagberg F, Fosser S, Sätermo IA. An investigation of behavioural adaptation to airbags and antilock brakes among taxi drivers. Accid Anal Prev. 1997;29:293-302. doi: 10.1016/S0001-4575(96)00083-8
  • 10. Harless DW, Hoffer GE. The antilock braking system anomaly: a drinking driver problem? Accid Anal Prev. 2002;34:333–341. doi: 10.1016/S0001-4575(01)00030-6
  • 11. af Wåhlberg AE. Effects of passengers on bus driver celeration behavior and incident prediction. J Saf Res. 2007;38:9-15. doi: 10.1016/j.jsr.2006.10.002
  • 12. af Wåhlberg AE. Aggregation of driver celeration behavior data: Effects on stability and accident prediction. Saf Sci. 2007;45:487-500. doi: 10.1016/j.ssci.2006.07.008
  • 13. af Wåhlberg AE. Meta-analysis of the difference in accident risk between long and short truck configurations. J Risk Res. 2008;11:315-333. doi: 10.1080/13669870701797129
  • 14. Knight I, Newton W, McKinnon A, Palmer A, Barlow T, McCrae I, Dodd M, Couper G, Davies H, Daly A, McMahon W, Cook E, Ramdas V, Taylor N. Longer and/or longer and heavier goods vehicles LHVs - a study of the likely effects if permitted in the UK: final report. Crowthorne (UK): Transport Research Laboratory; 2008. (Published Project Report PPR285).
  • 15. af Wåhlberg AE. Stability and correlates of driver acceleration behaviour. In: Dorn L, editor. Driver behaviour and training. Proceedings of the First International Conference on Driver Behaviour and Training. Aldershot: Ashgate; 2005. p. 45–54.
  • 16. af Wåhlberg AE. Hourly changes in accident risk for bus drivers. J Risk Res. 2009;12:187–197. doi: 10.1080/13669870802488891
  • 17. af Wåhlberg AE. Hourly changes in accident risk for bus drivers. J Risk Res. 2009;12:187–197. doi: 10.1080/13669870802488891
  • 18. Peck RC. Do driver training programs reduce crashes and traffic violations? A critical examination of the literature. IATSS Res. 2011;34:63-71. doi: 10.1016/j.iatssr.2011.01.001
  • 19. af Wåhlberg AE. Driver behaviour and accident research methodology; Unresolved problems. Farnham: Ashgate; 2009.
  • 20. af Wåhlberg AE, Dorn L. Bus driver accident record; the return of accident proneness. Theor Issues Ergon Sci. 2009;10:77-91. doi: 10.1080/14639220801912597
  • 21. Ragland DR, Hundenski RJ, Holman BL, Fischer JM. Traffic volume and collisions involving transit and non-transit vehicles. Accid Anal Prev. 1992;27:845-851.
  • 22. Clark JE, Cribbins PD. Traffic volume measurement using drivometer events. High Res Rec. 1968;230:32–44.
  • 23. Gwynn DW. Relationship of accident rates and accident involvements with hourly volumes. Traffic Qual. 1967;21:407–418.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-374cae9f-e253-47a2-97a2-1248502ff2af
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