Associations of distraction involvement and age with driver injury severities

Journal of Safety Research

Volumn 52, Issue , 2015, Pages 23-28

  Donmez, Birsen ^a   Liu, Zishu ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

Driver age; Driver distraction; Estimates; General; Injury severity; Ordered logit model; System

Indexed keywords

ACCIDENTS; CELLULAR TELEPHONES; TELECOMMUNICATION EQUIPMENT; TELEPHONE SETS; VEHICLES;

DRIVER AGE; DRIVER DISTRACTIONS; ESTIMATES; GENERAL; INJURY SEVERITY; ORDERED LOGIT MODEL; SYSTEM;

MOBILE PHONES;

ADULT; AGE; CAR DRIVING; FEMALE; HUMAN; INJURY SCALE; MALE; MIDDLE AGED; MOBILE PHONE; PROBABILITY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TEXT MESSAGING; TRAFFIC ACCIDENT; UNITED STATES; WOUNDS AND INJURIES; YOUNG ADULT;

ACCIDENTS, TRAFFIC; ADULT; AGE FACTORS; AUTOMOBILE DRIVING; CELL PHONES; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; PROBABILITY; TEXT MESSAGING; TRAUMA SEVERITY INDICES; UNITED STATES; WOUNDS AND INJURIES; YOUNG ADULT;

EID: 84921508354     PISSN: 00224375     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jsr.2014.12.001     Document Type: Article

References (36)

1. K. Ball, C. Owsley, M.E. Sloane, D.L. Roenker, and J.R. Bruni Visual attention problems as a predictor of vehicle crashes in older drivers Investigative Ophthalmology and Visual Science 34 11 1993 3110 3123
2. M. Bayly, K.L. Young, and M.A. Regan Sources of distraction inside the vehicle and their effects on driving performance M.A. Regan, J.D. Lee, K.L. Young, Driver distraction: Theory, effects, and mitigation 2009 CRC Press Boca Raton 191 213
3. T.E. Boyce, and E.S. Geller An instrumented vehicle assessment of problem behavior and driving style: Do younger males really take more risks? Accident Analysis and Prevention 34 1 2002 51 64
4. M. Brennan, M.C. Welsh, and C.B. Fisher Aging and executive function skills: An examination of a community-dwelling older adult population Perceptual and Motor Skills 84 1997 1187 1197
5. T.A. Dingus, S.G. Klauer, V.L. Neale, A. Petersen, S.E. Lee, and J.D. Sudweeks The 100-Car Naturalistic Driving Study, Phase II - Results of the 100-Car Field Experiment (No. DOT HS 810 593) National Highway Traffic Safety Administration 2006
6. B. Donmez, L.N. Boyle, and J.D. Lee The impact of distraction mitigation strategies on driving performance Human Factors 48 4 2006 785 804 10.1518/001872006779166415
7. N. Eluru, and C.R. Bhat A joint econometric analysis of seat belt use and crash-related injury severity Accident Analysis and Prevention 39 5 2007 1037 1049 10.1016/j.aap.2007.02.001
8. C.M. Farmer, E.R. Braver, and E.L. Mitter Two-vehicle side impact crashes: The relationship of vehicle and crash characteristics to injury severity Accident Analysis and Prevention 29 3 1997 399 406 10.1016/S0001-4575(97)00006-7
9. C.P. Gordon Crash studies of driver distraction M.A. Regan, J.D. Lee, K.L. Young, Driver distraction: Theory, effects, and mitigation 2009 CRC Press Boca Raton 281 304
10. P.F. Hanley, and N. Sikka Bias caused by self-reporting distraction and its impact on crash estimates Accident Analysis and Prevention 49 2012 360 365 10.1016/j.aap.2012.02.008
11. T. Horberry, and J. Edquist Distractions outside the vehicle M.A. Regan, J.D. Lee, K.L. Young, Driver distraction: Theory, effects, and mitigation 2008 CRC Press Boca Raton 215 227
12. D.F. Huelke, and C.P. Compton The effects of seat belts on injury severity of front and rear seat occupants in the same frontal crash Accident Analysis and Prevention 27 6 1995 835 838 10.1016/0001-4575(95)00021-6
13. K. Kim, L. Nitz, J. Richardson, and L. Li Personal and behavioral predictors of automobile crash and injury severity Accident Analysis and Prevention 27 4 1995 469 481 10.1016/0001-4575(95)00001-G
14. K.M. Kockelman, and Y.-J. Kweon Driver injury severity: An application of ordered probit models Accident Analysis and Prevention 34 3 2002 313 321 10.1016/S0001-4575(01)00028-8
15. S. Koppel, J.L. Charlton, and B. Fildes Distraction and the older driver M.A. Regan, J.D. Lee, K.L. Young, Driver distraction: Theory, effects, and mitigation 2009 CRC Press Boca Raton 353 382
16. J.D. Lee Technology and teen drivers Journal of Safety Research 38 2 2007 203 213 10.1016/j.jsr.2007.02.008
17. J.D. Lee, K.L. Young, and M.A. Regan Defining driver distraction M.A. Regan, J.D. Lee, K.L. Young, Driver distraction: Theory, effects, and mitigation 2009 CRC Press Boca Raton 31 40
18. Z. Liu, and B. Donmez Effects of distractions on injury severity in police-involved crashes Proceedings of the Transportation Research Board Annual Meeting Vol. 11-3591 2011 Transportation Research Board Washington, D.C.
19. C. Liu, D. Utter, and C.-L. Chen Characteristics of crash injuries among young, middle-aged, and older drivers (No. DOT HS 810 857) National Highway Traffic Safety Administration 2007
20. K.L. Margolis, R.P. Kerani, P. McGovern, T. Songer, J.A. Cauley, and K.E. Ensrud Risk factors for motor vehicle crashes in older women Journals of Gerontology Series A: Biological Sciences and Medical Sciences 57 3 2002 M186 M191
21. A.T. McCartt, E.R. Braver, and L.L. Geary Drivers' use of handheld cell phones before and after New York State's cell phone law Preventive Medicine 36 5 2003 629 635 10.1016/S0091-7435(03)00021-5
22. S.P. McEvoy, M.R. Stevenson, A.T. McCartt, M. Woodward, C. Haworth, and P. Palamara Role of mobile phones in motor vehicle crashes resulting in hospital attendance: A case-crossover study BMJ 331 7514 2005 428 10.1136/bmj.38537.397512.55
23. G. McGwin, R.V. Sims, L. Pulley, and J.M. Roseman Relations among chronic medical conditions, medications, and automobile crashes in the elderly: A population-based case-control study American Journal of Epidemiology 152 5 2000 424 431 10.1093/aje/152.5.424
24. D.M. Neyens, and L.N. Boyle The effect of distractions on the crash types of teenage drivers Accident Analysis and Prevention 39 1 2007 206 212 10.1016/j.aap.2006.07.004
25. D.M. Neyens, and L.N. Boyle The influence of driver distraction on the severity of injuries sustained by teenage drivers and their passengers Accident Analysis and Prevention 40 1 2008 254 259 10.1016/j.aap.2007.06.005
26. C.J. O'Donnell, and D.H. Connor Predicting the severity of motor vehicle accident injuries using models of ordered multiple choice Accident Analysis and Prevention 28 6 1996 739 753 10.1016/S0001-4575(96)00050-4
27. D.A. Redelmeier, and R.J. Tibshirani Association between cellular-telephone calls and motor vehicle collisions New England Journal of Medicine 336 7 1997 453 458 10.1056/NEJM199702133360701
28. M.A. Regan, J.D. Lee, and K.L. Young Driver distraction: Theory, effects, and mitigation 2008 CRC Press Boca Raton
29. B. Reimer, B. Mehler, Y. Wang, and J.F. Coughlin A field study on the impact of variations in short-term memory demands on drivers' visual attention and driving performance across three age groups Human Factors 2012 10.1177/0018720812437274
30. B. Reimer, B. Donmez, M. Lavallière, B. Mehler, J.F. Coughlin, and N. Teasdale Impact of age and cognitive demand on lane choice and changing under actual highway conditions Accident Analysis and Prevention 52 2013 125 132 10.1016/j.aap.2012.12.008
31. M. Starnes Large-truck crash causation study: An initial overview (No. DOT HS 810 646) National Highway Traffic Safety Administration 2006
32. M.E. Stokes, C.S. Davis, and G.G. Koch Categorical data analysis using the SAS system 2nd ed. 2000 SAS Institute Cary, NC
33. J.C. Stutts, D.W. Reinfurt, L. Staplin, and E.A. Rodgman The role of driver distraction in traffic crashes 2001 AAA Foundation of Traffic Safety Washington, D.C.
34. J. Stutts, J. Feaganes, D. Reinfurt, E. Rodgman, C. Hamlett, and K. Gish Driver's exposure to distractions in their natural driving environment Accident Analysis and Prevention 37 6 2005 1093 1101 10.1016/j.aap.2005.06.007
35. O. Tsimhoni, D. Smith, and P. Green Address entry while driving: Speech recognition versus a touch-screen keyboard Human Factors 46 4 2004 600
36. X. Zhu, and S. Srinivasan A comprehensive analysis of factors influencing the injury severity of large-truck crashes Accident Analysis and Prevention 43 1 2011 49 57 10.1016/j.aap.2010.07.007