Ensuring the Safety and Accessibility of Transportation for an Aging Population

  • Walter R. Boot
  • Kimberly Barajas
  • Ainsley Mitchum
  • Cary Stothart
  • Neil Charness
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9755)

Abstract

As drivers and pedestrians, older adults face greater risk for serious injury and death resulting from a crash. Part of this increased risk can be attributed to increased fragility with age, but increased risk is also due in part to a mismatch between the demands of the driving/pedestrian task and the perceptual, cognitive, and motor abilities of the aging road user. This paper presents a broad overview of the approaches that have been taken to reduce the crash risk of aging road users by either changing the vehicle and roadway environment or changing the road user (i.e., strategy training/cognitive training). A summary of the work conducted by the Aging Driver and Pedestrian Safety Lab (ADAPtS Lab) investigating the efficacy of roadway modifications to reduce crash risk is presented. Further, we provide a brief review of how technologies on the horizon (i.e., autonomous and semi-autonomous vehicles) might impact the safety of aging road users. These technologies will likely result in the solution to some problems while introducing new problems that warrant additional human factors studies involving participants of all ages and levels of driving skill. The promises and challenges of roadway modifications, driver education and training, and automation as solutions are compared and contrasted.

Keywords

Older adults Driver Pedestrian Crash Mobility Independence 

References

  1. 1.
    Chihuri, S., Mielenz, T.J., DiMaggio, C.J., Betz, M.E., DiGuiseppi, C., Jones, V.C., Li, G.: Driving cessation and health outcomes in older adults. J. Am. Geriatr. Soc. (2016, Epub ahead of print)Google Scholar
  2. 2.
    Li, G., Braver, E.R., Chen, L.H.: Fragility versus excessive crash involvement as determinants of high death rates per vehicle-mile of travel among older drivers. Accid. Anal. Prev. 35(2), 227–235 (2003)CrossRefGoogle Scholar
  3. 3.
    Boot, W.R., Stothart, C., Charness, N.: Improving the safety of aging road users: a mini-review. Gerontology 60(1), 90–96 (2014)CrossRefGoogle Scholar
  4. 4.
    ADOT. Report No: AZ-SP-903. A study of the relationship between left-turn accidents and driver age in Arizona. Arizona Department of Transportation (1996)Google Scholar
  5. 5.
    Preusser, D.F., Williams, A.F., Ferguson, S.A., Ulmer, R.G., Weinstein, H.B.: Fatal crash risk for older drivers at intersections. Accid. Anal. Prev. 30, 151–159 (1998)CrossRefGoogle Scholar
  6. 6.
    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. 39, 843–852 (2007)CrossRefGoogle Scholar
  7. 7.
    Anderson, G.J., Enriquez, A.: Aging and the detection of observer and moving object collisions. Psychol. Aging 21(1), 74–85 (2006)CrossRefGoogle Scholar
  8. 8.
    Scialfa, C.T., Guzy, L.T., Leibowitz, H.W., Garvey, P.M., Tyrrell, R.A.: Age differences in estimating vehicle velocity. Psychol. Aging 6(1), 60–66 (1991)CrossRefGoogle Scholar
  9. 9.
    Boot, W.R., Charness, N., Fox, M., Mitchum, A., Lupton, H., Rebekah, L.: Final report: aging road user, bicyclist, and pedestrian safety: effective bicycling signs and preventing left-turn crashes. Technical report BDK83 977-15. Florida Department of Transportation (2013)Google Scholar
  10. 10.
    Owsley, C.: Aging and vision. Vis. Res. 51(13), 1610–1622 (2011)CrossRefGoogle Scholar
  11. 11.
    Charness, N., Mitchum, A., Champion, M., Cowing, B., Stothart, C.: Aging drivers and pedestrians. Technical report BDK83 977-09. Florida Department of Transportation (2011)Google Scholar
  12. 12.
    Birren, J.E., Fisher, L.M.: Aging and speed of behavior: possible consequences for psychological functioning. Annu. Rev. Psychol. 46, 329–353 (1995)CrossRefGoogle Scholar
  13. 13.
    Salthouse, T.A.: The processing-speed theory of adult age differences in cognition. Psychol. Rev. 103(3), 403–428 (1996)CrossRefGoogle Scholar
  14. 14.
    Jastrzembski, T.S., Charness, N.: The model human processor and the older adult: parameter estimation and validation within a mobile phone task. J. Exp. Psychol.: Appl. 13(4), 224–248 (2007)Google Scholar
  15. 15.
    Ball, K., Edwards, J.D., Ross, L.A., McGwin Jr., G.: Cognitive training decreases motor vehicle collision involvement among older drivers. J. Am. Geriatr. Soc. 58, 2107–2113 (2010)CrossRefGoogle Scholar
  16. 16.
    Edwards, J.D., Myers, C., Ross, L.A., Roenker, D.L., Cissell, G.M., McLaughlin, A.M., Ball, K.K.: The longitudinal impact of cognitive speed of processing training on driving mobility. Gerontologist 49(4), 485–494 (2009)CrossRefGoogle Scholar
  17. 17.
    Boot, W.R., Kramer, A.F.: The brain-games conundrum: does cognitive training really sharpen the mind? Cerebrum, pp. 1–15, November 2014Google Scholar
  18. 18.
    A Consensus on the Brain Training Industry from the Scientific Community, Max Planck Institute for Human Development and Stanford Center on Longevity (2016). http://longevity3.stanford.edu/blog/2014/10/15/the-consensus-on-the-brain-training-industry-from-the-scientific-community/
  19. 19.
    Cognitive Training Data (2016). http://www.cognitivetrainingdata.org/
  20. 20.
    Janke, M.K.: Mature driver improvement program in California. In: Transportation Research Record 1438, TRB, National Research Council, Washington, D.C., pp. 77–83 (1994)Google Scholar
  21. 21.
    Owsley, C., McGwin, G., Phillips, J.M., McNeal, S.F., Stalvey, B.T.: Impact of an educational program on the safety of high-risk, visually impaired, older drivers. Am. J. Prev. Med. 26(3), 222–229 (2004)CrossRefGoogle Scholar
  22. 22.
    Bédard, M.: The combination of two training approaches to improve older adults’ driving safety. Traffic Inj. Prev. 9(1), 70–76 (2008)CrossRefGoogle Scholar
  23. 23.
    Marottoli, R.A., Van Ness, P.H., Araujo, K.L., Iannone, L.P., Acampora, D., Charpentier, P., Peduzzi, P.: A randomized trial of an education program to enhance older driver performance. J. Gerontol. Ser. A: Biol. Sci. Med. Sci. 62(10), 1113–1119 (2007)CrossRefGoogle Scholar
  24. 24.
    Reimer, B.: Driver assistance systems and the transition to automated vehicles: a path to increase older adult safety and mobility? Pub. Policy Aging Rep. 24(1), 27–31 (2014)MathSciNetCrossRefGoogle Scholar
  25. 25.
    Czaja, S.J., Sharit, J.: Designing Training and Instructional Programs for Older Adults. CRC Press, Boca Raton (2012)CrossRefGoogle Scholar
  26. 26.
    Fisk, A.D., Rogers, W.A., Charness, N., Czaja, S.J., Sharit, J.: Designing for Older Adults: Principles and Creative Human Factors Approaches, 2nd edn. CRC Press, Boca Raton (2009)CrossRefGoogle Scholar
  27. 27.
    Parasuraman, R., Wickens, C.D.: Humans: still vital after all these years of automation. Hum. Factors: J. Hum. Factors Ergon. Soc. 50(3), 511–520 (2008)CrossRefGoogle Scholar
  28. 28.
    Czaja, S.J., Charness, N., Fisk, A.D., Hertzog, C., Nair, S.N., Rogers, W.A., Sharit, J.: Factors predicting the use of technology: findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). Psychol. Aging 21(2), 333–352 (2006)CrossRefGoogle Scholar
  29. 29.
    Boot, W.R., Charness, N., Roque, N., Barajas, K., Dirghalli, J., Mitchum, A.: The flashing right turn signal with pedestrian indication: human factors studies to understand the potential of a new signal to increase awareness of and attention to crossing pedestrian. Technical report BDV30-977-13. Florida Department of Transportation (2015)Google Scholar
  30. 30.
    Charness, N., Boot, W.R., Mitchum, A., Stothart, C., Lupton, H.: Final report: aging driver and pedestrian safety: parking lot hazards study. Technical report BDK83 977-12. Florida Department of Transportation (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Walter R. Boot
    • 1
  • Kimberly Barajas
    • 1
  • Ainsley Mitchum
    • 1
  • Cary Stothart
    • 1
  • Neil Charness
    • 1
  1. 1.Department of PsychologyFlorida State UniversityTallahasseeUSA

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