Urban and rural differences in older drivers' failure to stop at stop signs

Accident Analysis and Prevention

Volumn 41, Issue 5, 2009, Pages 995-1000

  Keay, Lisa ^a,b   Jasti, Srichand ^a   Munoz, Beatriz ^a   Turano, Kathleen A ^a   Munro, Cynthia A ^c   Duncan, Donald D ^d   Baldwin, Kevin ^d   Bandeen Roche, Karen J ^e   Gower, Emily W ^a   West, Sheila K ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b UNIVERSITY OF SYDNEY   (Australia)

^c JOHNS HOPKINS UNIVERSITY   (United States)

^d JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY   (United States)

^e JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Cognition; Older drivers; Rural; Stop signs; Vision

Indexed keywords

COGNITION; DRIVING MONITORING; FAILURE RATE; LONGITUDINAL STUDY; MARYLAND; NEGATIVE BINOMIAL REGRESSION MODEL; OLDER DRIVERS; RURAL; STOP SIGNS; URBAN AREAS; VISUAL FIELDS;

HEALTH RISKS; REGRESSION ANALYSIS; RURAL AREAS; VISION;

AUTOMOBILE DRIVERS;

AGE; AGED; AGING; ARTICLE; ATTENTION; CAR; CAR DRIVING; COGNITION; COGNITIVE DEFECT; COHORT ANALYSIS; CONFIDENCE INTERVAL; FEMALE; HUMAN; MALE; PERCEPTION; PSYCHOMETRY; QUESTIONNAIRE; REGRESSION ANALYSIS; RISK FACTOR; RURAL POPULATION; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT; URBAN POPULATION; VISUAL ACUITY;

ACCIDENTS, TRAFFIC; AGE FACTORS; AGED; AGED, 80 AND OVER; AGING; ATTENTION; AUTOMOBILE DRIVING; AUTOMOBILES; COGNITION; COGNITION DISORDERS; COHORT STUDIES; CONFIDENCE INTERVALS; FEMALE; HUMANS; MALE; MODELS, STATISTICAL; PERCEPTION; PSYCHOMETRICS; QUESTIONNAIRES; REGRESSION ANALYSIS; RISK FACTORS; RURAL POPULATION; URBAN POPULATION; VISUAL ACUITY;

EID: 67949084968     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2009.06.004     Document Type: Article

References (35)

1. Al-Omari B.H., and Al-Masaeid H.R. Red light violations at rural and suburban signalized intersections in Jordan. Traffic Inj. Prev. 4 (2003) 169-172
2. Austin J., Hackett S., Gravina N., and Lebbon A. The effects of prompting and feedback on drivers' stoing at stop signs. J. Appl. Behav. Anal. 39 (2006) 117-121
3. Baldwin K.C., Duncan D.D., and West S.K. The driver monitor system: a means of assessing driver performance. Johns Hopkins APL Tech. Dig. 25 (2004) 1-10
4. Bedard M.F., Weaver B., Darzins P., and Porter M.M. Predicting driving performance in older adults: we are not there yet!. Traffic Inj. Prev. 9 (2008) 336-341
5. Braitman K.A., Kirley B.B., Ferguson S., and Chaudhary N.K. Factors leading to older drivers' intersection crashes. Traffic Inj. Prev. 8 (2007) 267-274
6. Cerrelli E.C. Crash Data and Rates for Age-Sex Groups of Drivers, 1996 (2007), National Highway Traffic Safety Administration
7. De Raedt R.F., and Ponjaert-Kristoffersen I. The relationship between cognitive/neuropsychological factors and car driving performance in older adults. J. Am. Geriatr. Soc. 48 (2000) 1664-1668
8. Elliott M.A., Armitage C.J., and Baughan C.J. Drivers' compliance with speed limits: an alication of the theory of planned behavior. J. Appl. Psychol. 88 (2003) 964-972
9. Elliott D.B., Whitaker D., and Bonette L. Differences in the legibility of letters at contrast threshold using the Pelli-Robson chart. Ophthal. Physiol. Opt. 10 (1990) 323-326
10. Ferris III F.L., Kassoff A., Bresnick G.H., and Bailey I. New visual acuity charts for clinical research. Am. J. Ophthalmol. 94 (1982) 91-96
11. Glassbrenner D. NHTSA research note 2006 safety belt use in 2005: use in the states and territories. Demogr. Res. (2006) 1-5. http://www-nrd.nhtsa.dot.gov/pdf/nrd-30/NCSA/RNotes/2006/809970.pdf
12. Glendon A.I. Driving violations observed: an Australian study. Ergonomics 50 8 (2007) 1159-1182
13. Hassan S.E., Turano K.A., Munoz B., Munro C., Bandeen-Roche K., and West S.K. Cognitive and vision loss affects the topography of the attentional visual field. Invest. Ophthalmol. Vis. Sci. 49 (2008) 4672-4678
14. Hu P.S., Trumble D.A., Foley D.J., Eberhard J.W., and Wallace R.B. Crash risks of older drivers: a panel data analysis. Accid. Anal. Prev. 30 (1998) 569-581
15. Keeffe J.E., and Charlton J.L. Visual fields and driving. Clin. Exp. Ophthalmol. 35 (2007) 594-595
16. Kulp M.T., and Sortor J.M. Clinical value of the Beery visual-motor integration sulemental tests of visual perception and motor coordination. Optom. Vis. Sci. 80 (2003) 312-315
17. Lee H.C., Lee A.H., Cameron D., and Li-Tsang C. Using a Driving simulator to identify older drivers at inflated risk of motor vehicle crashes. J. Saf. Res. 34 (2003) 453-459
18. Li G., Braver E.R., and Chen L.H. Fragility 2003. Versus excessive crash involvement as determinants of high death rates per vehicle-mile of travel among older drivers. Accid. Anal. Prev. 35 (2003) 227-235
19. McGwin Jr. G., Xie A., Mays A., Joiner W., DeCarlo D.K., Hall T.A., and Owsley C. Visual field defects and the risk of motor vehicle collisions among patients with glaucoma. Invest. Ophthalmol. Vis. Sci. 46 (2005) 4437-4441
20. Meuleners L.B., Harding A., Lee A.H., and Legge M. Fragility and crash over-representation among older drivers in Western Australia. Accid. Anal. Prev. 38 (2006) 1006-1010
21. National Highway Traffic Safety Administration. Seat belt use in 2008. Overall Res. (2008) 1-4
22. National Highway Traffic Safety Administration, 2008. Traffic Safety Facts 2006 Data: Older Population.
23. National Highway Traffic Safety Administration, 2008. Traffic Safety Facts 2006: A Compilation of Motor Vehicle Crash Data From the Fatality Analysis Reporting System and the General Estimates System.
24. Nelson-Quigg J.M., Cello K., and Johnson C.A. Predicting binocular visual field sensitivity from monocular visual field results. Invest. Ophthalmol. Vis. Sci. 41 (2000) 2212-2221
25. Owsley C., McGwin Jr. G., and McNeal S.F. Impact of impulsiveness, venturesomeness, and empathy on driving by older adults. J. Saf. Res. 34 4 (2003) 353-359
26. Owsley C., Stalvey B., Wells J., and Sloane M.E. Older drivers and cataract: driving habits and crash risk. J. Gerontol. A Biol. Sci. Med. Sci. 54 (1999) M203-M211
27. Owsley C., Stalvey B.T., Wells J., Sloane M.E., and McGwin Jr. G. Visual risk factors for crash involvement in older drivers with cataract. Arch. Ophthalmol. 119 (2001) 881-887
28. Porter M.M., and Whitton M.J. 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. 57 (2002) M578-M582
29. Rubin G.S., Ng E.S., Bandeen-Roche K., Keyl P.M., Freeman E.E., and West S.K. A prospective, population-based study of the role of visual impairment in motor vehicle crashes among older drivers: the SEE study. Invest. Ophthalmol. Vis. Sci. 48 4 (2007) 1483-1491
30. Schretlen D., Brandt J., and Bobholz J.H. Validation of the brief test of attention in patients with Huntington's disease and amnesia. Clin. Neuropsychol. 10 (1996) 90-95
31. Sims R.V., Owsley C., Allman R.M., Ball K., and Smoot T.M. A preliminary assessment of the medical and functional factors associated with vehicle crashes by older adults. J. Am. Geriatr. Soc. 46 (1998) 556-561
32. Williams A.F., and Shabanova V.I. Responsibility of drivers, by age and gender, for motor-vehicle crash deaths. J. Saf. Res. 34 (2003) 527-531
33. Wood J.M., Anstey K.J., Kerr G.K., Lacherez P.F., and Lord S.A. Multidomain aroach for predicting older driver safety under in-traffic road conditions. J. Am. Geriatr. Soc. (2008) 10.1111/j.1532-5415.2008.01709
34. Yang C.Y., and Najm W.G. Examining driver behavior using data gathered from red light photo enforcement cameras. J. Saf. Res. 38 (2007) 311-321
35. Zhang L., Baldwin K., Munoz B., Munro C., Turano K., Hassan S., Lyketsos C., Bandeen-Roche K., and West S.K. Visual and cognitive predictors of performance on brake reaction test: salisbury eye evaluation driving study. Ophthal. Epidemiol. 14 (2007) 216-222