Predictors of older drivers' involvement in high-range speeding behavior

References

• Aarts L, van Schagen I. Driving speed and the risk of road crashes: a review. Accid Anal Prev. 2006;38:215–224.
   PubMed Web of Science ®Google Scholar
• Abdel-Aty MA, Chen CL, Schott JR. An assessment of the effect of driver age on traffic accident involvement using log-linear models. Accid Anal Prev. 1998;30:851–861.
   PubMed Web of Science ®Google Scholar
• af Wahlberg AE. Speed choice versus celeration behavior as traffic accident predictor. J Safety Res. 2006;37:43–51.
   PubMed Web of Science ®Google Scholar
• Allan C, Coxon K, Bundy A, Peattie L, Keay L. DriveSafe and DriveAware assessment tools are a measure of driving-related function and predicts self-reported restriction for older drivers. J Appl Gerontol. 2015;35(6):583–600.
   PubMed Web of Science ®Google Scholar
• Baldock MR, Mathias JL, McLean AJ, Berndt A. Self-regulation of driving and its relationship to driving ability among older adults. Accid Anal Prev. 2006;38:1038–1045.
   PubMed Web of Science ®Google Scholar
• Betz ME, Fisher J. The Trail-Making Test B and driver screening in the emergency department. Traffic Inj Prev. 2009;10:415–420.
   PubMed Web of Science ®Google Scholar
• Bond TG, Fox CM. Applying the Rasch Model: Fundamental measurement in the human sciences. J Edu Meas. 2003;42(2):185–187.
   Google Scholar
• Bowie CR, Harvey PD. Administration and interpretation of the Trail Making Test. Nat Protoc. 2006;1:2277–2281.
   PubMed Web of Science ®Google Scholar
• Braitman K, Kirley B, Ferguson S, Chaudhary N. Factors leading to older drivers' intersection crashes. Traffic Inj Prev. 2007;8:267–274.
   PubMedGoogle Scholar
• Broberg T, Dukic Willstrand T. Safe mobility for elderly drivers—considerations based on expert and self-assessment. Accid Anal Prev. 2014;66:104–113.
   PubMed Web of Science ®Google Scholar
• Bureau of Infrastructure Transport and Regional Economics. Road Safety of Older Australians: Recent Statistics. Canberra: BITRE, Australian Government; 2014.
   Google Scholar
• Centre for Road Safety Transport for New South Wales. Road Traffic Crashes in New South Wales: Statistical Statement for the Year Ended 31 December 2014. NSW: Centre for Road Safety Transport; 2015.
   Google Scholar
• Chevalier A, Chevalier AJ, Clarke, E, Wall J, et al. Naturalistic speeding data: drivers aged 75 years and older. Data Brief. 2016;8:136–141.
   PubMedGoogle Scholar
• Chevalier A, Coxon K, Chevalier AJ et al. Exploration of older drivers’ speeding behaviour. Transport Res F-Traf. 2016;42(3):532–543. doi:10.1016/j.trf.2016.01.012
   Google Scholar
• Chevalier A, Coxon K, Rogers K, et al. A longitudinal investigation of the predictors of older drivers' speeding behaviour. Accid Anal Prev. 2016;93:41–47. doi:10.1016/j.aap.2016.04.006
   PubMed Web of Science ®Google Scholar
• Cicchino JB, McCartt AT. Trends in older driver crash involvement rates and survivability in the United States: an update. Accid Anal Prev. 2014;72:44–54.
   PubMed Web of Science ®Google Scholar
• Classen S, Wang Y, Crizzle AM, Winter SM, Lanford DN. Predicting older driver on-road performance by means of the useful field of view and trail making test part B. Am J Occup Ther. 2013;67:574–582.
   PubMed Web of Science ®Google Scholar
• Cook LJ, Knight S, Olson LM, Nechodom PJ, Dean JM. Motor vehicle crash characteristics and medical outcomes among older drivers in Utah, 1992–1995. Ann Emerg Med. 2000;35:585–591.
   PubMed Web of Science ®Google Scholar
• Coxon K, Chevalier A, Lo S, Ivers R, Brown J, Keay L. Behind the wheel: confidence and naturalistic measures of driving exposure among older drivers. Transp Res Rec. 2015a;2516:35–43.
   Web of Science ®Google Scholar
• Coxon K, Chevalier A, Lo S, Ivers R, Brown J, Keay L. Behind the wheel: predictors of driving exposure in older drivers. J Am Geriatr Soc. 2015b;63:1137–1145.
   PubMed Web of Science ®Google Scholar
• Crizzle AM, Myers AM, Roy EA, Almeida QJ. Drivers with Parkinson's disease: are the symptoms of PD associated with restricted driving practices? J Neurol. 2013;260:2562–2568.
   PubMed Web of Science ®Google Scholar
• Crizzle AM, Myers AM, Roy EA, Almeida QJ. Associations between falls, balance confidence, driving speed, braking, and other driving practices in Parkinson's disease. Phys Occup Ther Geriatr. 2015;33:72–86.
   Web of Science ®Google Scholar
• DeJoy DM. The optimism bias and traffic accident risk perception. Accid Anal Prev. 1989;21:333–340.
   PubMed Web of Science ®Google Scholar
• Dommes A, Cavallo V, Vienne F, Aillerie I. Age-related differences in street-crossing safety before and after training of older pedestrians. Accid Anal Prev. 2012;44:42–47.
   PubMed Web of Science ®Google Scholar
• Emerson JL, Johnson AM, Dawson JD, Uc EY, Anderson SW, Rizzo M. Predictors of driving outcomes in advancing age. Psychol Aging. 2012;27:550–559.
   PubMed Web of Science ®Google Scholar
• Geneva Global Road Safety Partnership. Speed Management: A Road Safety Manual for Decision-Makers and Practitioners. Geneva: Author; 2008.
   Google Scholar
• Greaves S, Ellison A. Personality, risk aversion and speeding: an empirical investigation. Accid Anal Prev. 2011;43:1828–1836.
   PubMed Web of Science ®Google Scholar
• Greaves S, Fifer S, Ellison R, Germanos G. Development of a Global Positioning System web-based prompted recall solution for longitudinal travel surveys. Transp Res Rec. 2010;2183:69–77.
   Web of Science ®Google Scholar
• Kay L, Bundy A, Clemson L. Predicting fitness to drive in people with cognitive impairments by using DriveSafe and DriveAware. Arch Phys Med Rehabil. 2009a;90:1514–1522.
   PubMed Web of Science ®Google Scholar
• Kay L, Bundy A, Clemson L. Validity, reliability and predictive accuracy of the Driving Awareness Questionnaire. Disabil Rehabil. 2009b;31:1074–1082.
   PubMed Web of Science ®Google Scholar
• Keall M, Frith W. Adjusting for car occupant injury liability in relation to age, speed limit, and gender-specific driver crash involvement risk. Traffic Inj Prev. 2004;5:336–342.
   PubMedGoogle Scholar
• Keay L, Coxon K, Brown J, et al. A randomized trial to evaluate the effectiveness of an individual, education-based safe transport program for drivers aged 75 years and older. BMC Public Health. 2013;13:1–8.
   Google Scholar
• Kent R, Henary B, Matsuoka F. On the fatal crash experience of older drivers. Annu Proc Assoc Adv Automot Med. 2005;49:371–391.
   PubMedGoogle Scholar
• Kloeden CN, McLean AJ, Moore VM, Ponte G. Travelling Speed and the Risk of Crash Involvement. Adelade, SA: The University of Adelaide; 1997.
   Google Scholar
• Kloeden CN, Ponte G, McLean AJ. Travelling Speed and the Risk of Crash Involvement on Rural Roads. Adelaide, SA: The University of Adelaide; 2001.
   Google Scholar
• Langford J, Charlton JL, Koppel S, et al. Findings from the Candrive/Ozcandrive study: low mileage older drivers, crash risk and reduced fitness to drive. Accid Anal Prev. 2013;61:304–310.
   PubMed Web of Science ®Google Scholar
• Lobjois R, Cavallo V. Age-related differences in street-crossing decisions: the effects of vehicle speed and time constraints on gap selection in an estimation task. Accid Anal Prev. 2007;39:934–943.
   PubMed Web of Science ®Google Scholar
• Marshall SC, Man-Son-Hing M, Bedard M, et al. Protocol for Candrive II/Ozcandrive, a multicentre prospective older driver cohort study. Accid Anal Prev. 2013;61:245–252.
   PubMed Web of Science ®Google Scholar
• Meuleners LB, Harding A, Lee AH, Legge M. Fragility and crash over-representation among older drivers in Western Australia. Accid Anal Prev. 2006;38:1006–1010.
   PubMed Web of Science ®Google Scholar
• NSW Centre for Road Safety. Speeding—Did you know? Fact Sheet 5: How Widespread a Problem Is Speeding? NSW: Centre for Road Safety, NSW Transport, Australia; 2011.
   Google Scholar
• Owsley C, Stalvey BT, Wells J, Sloane ME, McGwin G Jr. Visual risk factors for crash involvement in older drivers with cataract. Arch Ophthalmol. 2001;119:881–887.
   PubMed Web of Science ®Google Scholar
• Oxley J, Charlton J, Fildes B, et al. Crash Risk of Older Female Drivers. 2005. Available at: http://www.monash.edu/__data/assets/pdf_file/0019/216505/muarc245.pdf.
   Google Scholar
• Perryman KM, Fitten LJ. Effects of normal aging on the performance of motor-vehicle operational skills. J Geriatr Psychiatry Neurol. 1996;9(3):136–141.
   PubMed Web of Science ®Google Scholar
• Pesudovs K, Wright TA, Gothwal VK. Visual disability assessment: valid measurement of activity limitation and mobility in cataract patients. Br J Ophthalmol. 2010;94:777–781.
   PubMed Web of Science ®Google Scholar
• Pfeiffer E. A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients. J Am Geriatr Soc. 1975;23:433–441.
   PubMed Web of Science ®Google Scholar
• Porter MM, Whitton MJ. Assessment of driving with the global positioning system and video technology in young, middle-aged, and older drivers. J Gerontol A Biol Sci Med Sci. 2002;57:M578–M582.
   PubMed Web of Science ®Google Scholar
• Rakotonirainy A, Steinhardt D, Delhomme P, Darvell M, Schramm A. Older drivers' crashes in Queensland, Australia. Accid Anal Prev. 2012;48:423–429.
   PubMed Web of Science ®Google Scholar
• Roads and Maritime Services Transport for NSW. Offences & penalties: speeding. 2014. Available at: http://www.rms.nsw.gov.au/roads/safety-rules/offences-penalties/speeding-offences.html. Accessed December 2014.
   Google Scholar
• Selander H, Lee HC, Johansson K, Falkmer T. Older drivers: on-road and off-road test results. Accid Anal Prev. 2011;43:1348–1354.
   PubMed Web of Science ®Google Scholar
• Stalvey BT, Owsley C. Self-perceptions and current practices of high-risk older drivers: implications for driver safety interventions. J Health Psychol. 2000;5:441–456.
   PubMedGoogle Scholar
• Staplin L, Gish KW, Sifrit KJ. Using cognitive status to predict crash risk: blazing new trails? J Safety Res. 2014;48:19–25.
   PubMed Web of Science ®Google Scholar
• Stelmach GE, Nahom A. Cognitive–motor abilities of the elderly driver. Hum Factors. 1992;34:53–65.
   PubMed Web of Science ®Google Scholar
• Stutts JC, Stewart JR, Martell C. Cognitive test performance and crash risk in an older driver population. Accid Anal Prev. 1998;30:337–346.
   PubMed Web of Science ®Google Scholar
• Sullivan KA, Smith SS, Horswill MS, Lurie-Beck JK. Older adults' safety perceptions of driving situations: towards a new driving self-regulation scale. Accid Anal Prev. 2011;43:1003–1009.
   PubMed Web of Science ®Google Scholar
• Svenson O, Fischhoff B, MacGregor D. Perceived driving safety and seatbelt usage. Accid Anal Prev. 1985;17(2):119–133.
   PubMed Web of Science ®Google Scholar
• Thayaparan K, Crossland MD, Rubin GS. Clinical assessment of two new contrast sensitivity charts. Br J Ophthalmol. 2007;91:749–752.
   PubMed Web of Science ®Google Scholar
• Vlahodimitrakou Z, Charlton JL, Langford J, et al. Development and evaluation of a driving observation schedule (DOS) to study everyday driving performance of older drivers. Accid Anal Prev. 2013;61:253–260.
   PubMed Web of Science ®Google Scholar
• von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. J Clin Epidemiol. 2008;61(4):344–349.
   PubMed Web of Science ®Google Scholar
• Williams AF, Kyrychenko SY, Retting RA. Characteristics of speeders. J Safety Res. 2006;37:227–232.
   PubMed Web of Science ®Google Scholar
• Wong IY, Smith SS, Sullivan KA, Allan AC. Toward the multilevel older person's transportation and road safety model: a new perspective on the role of demographic, functional, and psychosocial factors. J Gerontol B Psychol Sci Soc Sci. 2016;71(1):71–86.
   PubMed Web of Science ®Google Scholar
• Yan X, Radwan E, Guo D. Effects of major-road vehicle speed and driver age and gender on left-turn gap acceptance. Accid Anal Prev. 2007;39:843–852.
   PubMed Web of Science ®Google Scholar
• Zhang J, Lindsay J, Clarke K, Robbins G, Mao Y. Factors affecting the severity of motor vehicle traffic crashes involving elderly drivers in Ontario. Accid Anal Prev. 2000;32:117–125.
   PubMed Web of Science ®Google Scholar