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The Behavioral Economics of Distracted Driving

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Jun 04, 2021

As we continue to navigate the benefits of increased technology, we must also consider the costs: the increased risk to our safety on the roads. Distracted driving, predominantly due to cellphone use while driving, is the leading cause of fatalities on the road.1 A driver using their phone is five times more likely to crash than undistracted drivers. For comparison, this is even greater than the risk of crashing when driving with a blood-alcohol level of 0.08.2,3

These numbers aren’t surprising or new. We’ve long known about the dangers of distracted driving, and the majority of individuals support laws against this behavior.4 Despite this sentiment, distracted driving behaviors remain common. 91% of young drivers (aged 15–19) reported texting while driving, and 40% of these texters even admitted to doing more complex tasks (like having texting arguments or sexting) while driving.

This dissonance isn’t unique to texting. Similar attitudes are held towards speeding: most people agree that speeding is unacceptable, yet admit to doing so themselves.5

Clearly, there is a suspension of concern and consideration for ourselves (and others) when we receive a text message on the road. Most people may tend to believe that distracted driving is an issue of morality (in that only bad people do it), but in fact, it is more likely a problem of cognitive bias than of values and morals. While we generally intend to “do the right thing,” we often neglect to do so in the moment. Behavioral economics aims to study these seemingly irrational behaviors in various contexts. The field offers several tools to explain distracted driving behavior and insights for solving the distracted driving problem.

References

  1. Distracted driving ‘huge concern’ for OPP, says spokesman | CBC news. (2019, July 26). CBC. https://www.cbc.ca/news/canada/kitchener-waterloo/distracted-driving-largest-cause-of-fatal-ontario-road-crashes-2015-1.3490977
  2. Role of mobile phones in motor vehicle crashes resulting in hospital attendance: A case-crossover study. (2005, August 18). The BMJ. https://www.bmj.com/content/331/7514/428
  3. How just a couple drinks make your odds of a car crash skyrocket. (2015, February 9). The Washington Post. https://www.washingtonpost.com/news/wonk/wp/2015/02/09/how-just-a-couple-drinks-make-your-odds-of-a-car-crash-skyrocket/
  4. Pope, C. N., Mirman, J. H., & Stavrinos, D. (2019). Adolescents’ perspectives on distracted driving legislation. Journal of safety research, 68, 173-179.
  5. Behavioural Insights Unit, Government of Ontario. (2017, June 21). Using a Behavioural science lens to reduce distracted driving. CARSP | Canadian Association of Road Safety Professionals. https://www.carsp.ca/carsp-acpser/wp-content/uploads/2017/06/7A_2_Paleja.pdf
  6. Wang, Y., & Sloan, F. A. (2018). Present bias and health. Journal of risk and uncertainty, 57(2), 177-198.
  7. Pettinger, T. (n.d.). Present bias. Economics Help. https://www.economicshelp.org/blog/glossary/present-bias/#:~:text= Implications of present bias 1 Insufficient,may put%2
  8. Thaler, R. (1981). Some empirical evidence on dynamic inconsistency. Economics letters, 8(3), 201-207.
  9. Laibson, D. (1997). Golden eggs and hyperbolic discounting. The Quarterly Journal of Economics, 112(2), 443-478.
  10. Milkman, K. L., Rogers, T., & Bazerman, M. H. (2008). Harnessing our inner angels and demons: What we have learned about want/should conflicts and how that knowledge can help us reduce short-sighted decision making. Perspectives on Psychological Science, 3(4), 324-338.
  11. Sunstein, C. R. (2017). Default rules are better than active choosing (often). Trends in cognitive sciences, 21(8), 600-606.
  12. Hayashi, Y., Foreman, A. M., Friedel, J. E., & Wirth, O. (2018). Executive function and dangerous driving behaviors in young drivers. Transportation research part F: traffic psychology and behaviour, 52, 51-61.
  13. Hayashi, Y., Russo, C. T., & Wirth, O. (2015). Texting while driving as impulsive choice: A behavioral economic analysis. Accident Analysis & Prevention, 83, 182-189.
  14. Foreman, A. M., Hayashi, Y., Friedel, J. E., & Wirth, O. (2019). Social distance and texting while driving: A behavioral economic analysis of social discounting. Traffic injury prevention, 20(7), 702-707.
  15. Foreman, A. M., Friedel, J. E., Hayashi, Y., & Wirth, O. (2021). Texting while driving: A discrete choice experiment. Accident Analysis & Prevention, 149, 105823.
  16. Hayashi, Y., Fessler, H. J., Friedel, J. E., Foreman, A. M., & Wirth, O. (2018). The roles of delay and probability discounting in texting while driving: Toward the development of a translational scientific program. Journal of the experimental analysis of behavior, 110(2), 229-242.
  17. Hayashi, Y., Friedel, J. E., Foreman, A. M., & Wirth, O. (2019). A behavioral economic analysis of demand for texting while driving. The Psychological Record, 69(2), 225-237.
  18. Hayashi, Y., Miller, K., Foreman, A. M., & Wirth, O. (2016). A behavioral economic analysis of texting while driving: Delay discounting processes. Accident Analysis & Prevention, 97, 132-140.
  19. Shults, R. A., Elder, R. W., Sleet, D. A., Nichols, J. L., Alao, M. O., Carande-Kulis, V. G., … & Task Force on Community Preventive Services. (2001). Reviews of evidence regarding interventions to reduce alcohol-impaired driving. American journal of preventive medicine, 21(4), 66-88.
  20. McCartt, A. T., Kidd, D. G., & Teoh, E. R. (2014). Driver cellphone and texting bans in the United States: evidence of effectiveness. Annals of Advances in Automotive Medicine, 58, 99.
  21. Li, L., Pope, C. N., Andridge, R. R., Bower, J. K., Hu, G., & Zhu, M. (2020). Cellphone laws and teens’ calling while driving: analysis of repeated cross-sectional surveys in 2013, 2015, 2017, and 2019. Injury epidemiology, 7(1), 1-9.
  22. Tackling texting while driving: ‘The decision to reach for that phone can be impulsive’. (2019, August 8). KWHS. https://kwhs.wharton.upenn.edu/2019/08/tackling-texting-while-driving/
  23. Atchley, P., & Warden, A. C. (2012). The need of young adults to text now: Using delay discounting to assess informational choice. Journal of Applied Research in Memory and Cognition, 1(4), 229-234.
  24. Frik, A., Egelman, S., Harbach, M., Malkin, N., & Peer, E. (2018). Better late (r) than never: increasing cyber-security compliance by reducing present bias. In Symposium on Usable Privacy and Security (pp. 12-14).
  25. Rogers, T., Milkman, K. L., & Volpp, K. G. (2014). Commitment devices: using initiatives to change behavior. JaMa, 311(20), 2065-2066.
  26. Marshall, A. (2017, June 9). Apple’s do not disturb while driving mode is good. Researchers are cooking up something better. Wired. https://www.wired.com/story/apple-do-not-disturb-distracted-driving-mode/
  27. Can insurers encourage safer teen driving? (2017, December 8). Behavioral Scientist. https://behavioralscientist.org/can-insurers-encourage-safer-teen-driving/
  28. Gearshift interlocks could get more people to buckle up. (n.d.). IIHS-HLDI crash testing and highway safety. https://www.iihs.org/news/detail/gearshift-interlocks-could-get-more-people-to-buckle-up
  29. Stein, J. S., Tegge, A. N., Turner, J. K., & Bickel, W. K. (2018). Episodic future thinking reduces delay discounting and cigarette demand: an investigation of the good-subject effect. Journal of behavioral medicine, 41(2), 269-276.
  30. Video-based ‘threat appeals’ may lead to less texting and driving. (2019, September 5). Tech Xplore – Technology and Engineering news. https://techxplore.com/news/2019-09-video-based-threat-appeals-texting.html
  31. Hayashi, Y., Foreman, A. M., Friedel, J. E., & Wirth, O. (2019). Threat appeals reduce impulsive decision making associated with texting while driving: A behavioral economic approach. PloS one, 14(3), e0213453.
  32. Sanbonmatsu, D. M., Strayer, D. L., Biondi, F., Behrends, A. A., & Moore, S. M. (2016). Cell-phone use diminishes self-awareness of impaired driving. Psychonomic bulletin & review, 23(2), 617-623.
  33. Choudhary, V., Shunko, M., Netessine, S., & Koo, S. (2020). Nudging drivers to safety: Evidence from a field experiment.
  34. BIT. (2021, February 1). Changing truck driving behavior one mile at a time. Medium. https://medium.com/behavioural-insights/changing-truck-driving-behavior-one-mile-at-a-time-39d05a39cf88

About the Author

A young woman with long, wavy hair sits on a bench, smiling. She wears a blue top and a dark jacket. The grassy courtyard and a brick building with windows and greenery are in the background.

Kaylee Somerville

Staff Writer

Kaylee is a research and teaching assistant at the University of Calgary in the areas of finance, entrepreneurship, and workplace harassment. Holding international experience in events, marketing, and consulting, Kaylee hopes to use behavioral research to help individuals at work. She is particularly interested in the topics of gender, leadership, and productivity. Kaylee completed her Bachelor of Commerce degree from the Haskayne School of Business at the University of Calgary.

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