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Barić, D. Cognitive Biases, Risk Perception, and Risky Driving Behaviour. Encyclopedia. Available online: https://encyclopedia.pub/entry/18401 (accessed on 15 November 2024).
Barić D. Cognitive Biases, Risk Perception, and Risky Driving Behaviour. Encyclopedia. Available at: https://encyclopedia.pub/entry/18401. Accessed November 15, 2024.
Barić, Danijela. "Cognitive Biases, Risk Perception, and Risky Driving Behaviour" Encyclopedia, https://encyclopedia.pub/entry/18401 (accessed November 15, 2024).
Barić, D. (2022, January 18). Cognitive Biases, Risk Perception, and Risky Driving Behaviour. In Encyclopedia. https://encyclopedia.pub/entry/18401
Barić, Danijela. "Cognitive Biases, Risk Perception, and Risky Driving Behaviour." Encyclopedia. Web. 18 January, 2022.
Cognitive Biases, Risk Perception, and Risky Driving Behaviour
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This entry is adapted from the peer-reviewed paper 10.3390/su14010077

This study evaluated the relationship between drivers’ cognitive biases (i.e., optimism bias, illusion of control) and risky driving behaviour. It also investigated the mediational role of risk perception in the relationship between cognitive biases and self-reported risky driving. 

optimism bias illusion of control risk perception risky behaviour

1. Introduction

Risky driving includes behaviours that pose a threat to the driver and to other road users, such as speeding, red-light running, tailgating, not using safety belts, drunk driving, etc. [1][2][3]. A body of research suggests that an important determinant of risky judgment or driving is represented by cognitive biases related to personal driving skills evaluation, personal control and perceived vulnerability in traffic [4][5][6]. Two common types of biases are represented by the judgement that negative events are more likely to happen to others than to the self, also called optimism bias [7], and the overestimation of personal control over events (i.e., illusion of control) [8]. A limited body of literature suggests that the biases in cognitive appraisal relating to control and optimism about future outcomes are likely to decrease risk perception and increase risky driving [4][9][10]. In order to be effectively targeted in safety campaigns and training programs, more insight is needed about the association of both optimism bias and illusion of control with driving behaviours.
The concept of optimism bias was first used by Weinstein [7] in the field of health psychology, to describe peoples’ tendency to believe they are more invulnerable to negative events, compared with their peers. Later research has evaluated optimism bias as the perceived chances of experiencing future life events relative to the chances of peers and supported its presence in other life areas, like marriage, natural disasters, or road traffic [11][12]. Although optimism bias may improve self-esteem and motivation [13], a greater sense of invulnerability may also have harmful consequences, by leading people to engage in risky behaviour or to fail to take adequate precautionary measures [14][15]. However, on the contrary, another study found no association between optimism bias and risk taking [16].
Studies in traffic and transport psychology have shown that many drivers consider themselves less likely to expect a negative event in traffic (e.g., having a car crash, being fined, being injured or losing one’s life) compared with their peers, e.g., [12][17]. Moreover, few studies confirmed positive yet weak relations between optimism bias and specific risky driving behaviours, such as not using the seat belt, driving under fatigue, or drunk driving [18][19].
Illusion of control is another related cognitive bias. Individuals with high illusion of control present two types of false beliefs: (i) that one can control the desired outcomes through personal skills, and (ii) that these personal skills are sufficient to prevent negative outcomes, when actually they do not [6][8]. Like optimism bias, illusion of control has been linked to risky behaviours, particularly in the health area [7] and gambling research [20][21]. In the traffic safety domain, illusion of control has been shown to have links with aggressive [4] and risky driving behaviours [3]. While all these studies are based on self-report measures, one can acknowledge that risky driving behaviour can be studied through several other methods such as the analysis of crash statistics, the use of a driving simulator, or naturalistic driving (ND) which uses the advantages of real-world conditions on driver performance and behaviour in normal, impaired and safety-critical situations [22][23][24].
The theoretical nature of these two cognitive biases concepts would point towards a relation between optimism bias, illusion of control and risky driving, but there is little or outdated empirical evidence for this relation. In addition, there is no clear understanding about how these two biases may jointly interact and make drivers take more risks. Moreover, although there is some evidence for the relations between optimism bias, illusion of control, and risky driving, there is a lack of understanding for the factors that may account for the relations between these cognitive biases and risky behaviours in traffic. One mechanism that can explain the relation between cognitive biases and risky driving behaviour may be risk perception. Risk perception in traffic is a widely studied variable in relation to risky driving behaviour, e.g., [25][26]. Different theoretical models, like the theories of reasoned action and planned behaviour [27], claim that the decision to engage in risky driving behaviours occurs through evaluating the risks and benefits of a given action. Most empirical studies report negative associations between risk perception and risky driving, e.g., [25][28][29][30]. Moreover, previous research documented the mediating role of risk perception in the relation between personal factors (e.g., self-efficacy, time perspective) and risky driving behaviours  [29][31].

2. Cognitive Biases, Risk Perception, and Risky Driving Behaviour

The present study investigated the relations of optimism bias and illusion of control with risky driving behaviour. Further, it explored whether risk perception mediates the relation between these two types of cognitive biases and the risky behaviour of drivers.
The results revealed that optimism bias was negatively predicted, whereas illusion of control positively predicted risky driving behaviours. Thus, contrary to expectations (Hypothesis 1) and to previous research, e.g., [18][19], a high level of optimism bias was related to a low level of risky driving behaviour. This result suggests that drivers’ belief that they are more invulnerable to negative events in traffic compared with their peers did not determine them to adopt risky driving behaviours. Perceived causal attributions for car crashes may moderate the relation between optimism bias and risky driving. Previous studies showed that optimism bias is more pronounced for events perceived as controllable (i.e., internal attribution) [7]. Further, perceived controllability is associated with desirable outcomes (see [32] for a review) and with a low tendency to engage in risky driving (e.g., [33]). It is possible that optimism bias cumulated with perceived controllability may be associated with positive outcomes, by facilitating safety goal attainment [13]. In other words, optimism bias may motivate drivers to take higher risks because they would feel less vulnerable; however, this may not be the case when drivers perceive the causes of a potential collision to be outside of their area of responsibility. Only if drivers evaluate themselves as having control over the situation and being responsible for traffic accidents, they may avoid risky driving, despite their optimism bias. However, future studies should assess this assumption and bring more evidence for the relation between optimism bias and risk taking in traffic by analysing the in-depth effects of perceived causal attributions.
Another interesting result of this study was that optimism bias is negatively related with risky driving, although it is positively related with risk perception in traffic. Therefore, drivers with a high level of optimism bias perceive low risks but do not engage in risky behaviours. Further, the results indicated an indirect effect of optimism bias on risky behaviour through risk perception, showing that risk perception acted as a suppressor variable for the negative relation between optimism bias and risky behaviour. This mediation suggests that optimism bias is negatively related with risk perception, and this perception suppressed the overall negative relation between optimism bias and risky driving behaviour. It is not the cognitive bias itself which determines risky driving; it is rather the perception about risks in different driving situations that emerges out of this bias which has an important role in driving behaviour. These findings confirm previous results that risk perception could be the specific way through which cognitive biases exert their influence on driving behaviour [17], and also extend previous literature by highlighting these relations in traffic psychology.
Concerning illusion of control, the findings are more straightforward. The results confirm the limited previous literature about its positive relation with risky driving [3]. As expected, a high illusion of control is related to a high tendency to engage in risky driving. Further, risk perception mediated the relation between illusion of control with risky behaviour. A high level of illusion of control is associated with a low level of risk perception, that is further associated with a high level of risky driving. Therefore, when participants present a high level of illusion of control, they are more prone to perceive low risk in different traffic situations, which further leads to a higher tendency to engage in risky behaviour. This type of cognitive bias should be addressed through safety campaigns and training, since literature shows that it generally appears when control is low (for a review, see [34]). The low level of control associated with low-risk perception and high engagement in risky driving behaviour may have detrimental consequences for traffic safety. Road safety campaigns and driver training programs could also target this particular scenario.

References

  1. Tabitha B Hammond; Mark S Horswill; The influence of desire for control on drivers' risk-taking behaviour. Transportation Research Part F: Traffic Psychology and Behaviour 2001, 4, 271-277, 10.1016/s1369-8478(01)00028-6.
  2. Niki Harré; Chris G. Sibley; Explicit and implicit self-enhancement biases in drivers and their relationship to driving violations and crash-risk optimism. Accident Analysis & Prevention 2007, 39, 1155-1161, 10.1016/j.aap.2007.03.001.
  3. Mark S. Horswill; Frank P. McKenna; The Effect of Perceived Control on Risk Taking. Journal of Applied Social Psychology 1999, 29, 377-391, 10.1111/j.1559-1816.1999.tb01392.x.
  4. Amanda Stephens; Keis Ohtsuka; Cognitive biases in aggressive drivers: Does illusion of control drive us off the road?. Personality and Individual Differences 2014, 68, 124-129, 10.1016/j.paid.2014.04.016.
  5. Cornelia Măirean; Corneliu-Eugen Havârneanu; The relationship between drivers’ illusion of superiority, aggressive driving, and self-reported risky driving behaviors. Transportation Research Part F: Traffic Psychology and Behaviour 2018, 55, 167-174, 10.1016/j.trf.2018.02.037.
  6. Ryan W. Wohleber; Gerald Matthews; Multiple facets of overconfidence: Implications for driving safety. Transportation Research Part F: Traffic Psychology and Behaviour 2016, 43, 265-278, 10.1016/j.trf.2016.09.011.
  7. Weinstein, Neil D; Unrealistic optimism about future life events. Journal of Personality and Social Psychology 1980, 39, 806–820, 10.1037/0022-3514.39.5.806.
  8. Langer, Ellen J; Roth, Jane; Heads I win, tails it's chance: The illusion of control as a function of the sequence of outcomes in a purely chance task. Journal of Personality and Social Psychology 1975, 32(6), 951–955, 10.1037/0022-3514.32.6.951.
  9. David M. DeJoy; The optimism bias and traffic accident risk perception. Accident Analysis & Prevention 1989, 21, 333-340, 10.1016/0001-4575(89)90024-9.
  10. Patricia Delhomme; Jean-François Verlhiac; Cécile Martha; Are drivers' comparative risk judgments about speeding realistic?. Journal of Safety Research 2009, 40, 333-339, 10.1016/j.jsr.2009.09.003.
  11. Patricia Delhomme; Comparing one's driving with others': Assessment of abilities and frequency of offences. Evidence for a superior conformity of self-bias?. Accident Analysis & Prevention 1991, 23, 493-508, 10.1016/0001-4575(91)90015-w.
  12. Dominique Gosselin; Sylvain Gagnon; Arne Stinchcombe; Mélanie Joanisse; Comparative optimism among drivers: An intergenerational portrait. Accident Analysis & Prevention 2010, 42, 734-740, 10.1016/j.aap.2009.11.001.
  13. Taylor, Shelley E.; Brown, Jonathon D.; Illusion and Well-Being: A Social Psychological Perspective on Mental Health. Psychological Bulletin 1988, 103(2), 193-210, 10.1037/0033-2909.103.2.193.
  14. Lapsley, Daniel K.; Hill, Patrick L.. The Development of the Moral Personality; Narvaez, Darcia; Lapsley, Daniel K.;, Eds.; Cambridge University Press: Cambridge, UK, 2009; pp. 185-213.
  15. James A. Shepperd; Gabrielle Pogge; Jennifer L. Howell; Assessing the consequences of unrealistic optimism: Challenges and recommendations. Consciousness and Cognition 2017, 50, 69-78, 10.1016/j.concog.2016.07.004.
  16. Karin Pietruska; Jorge L. Armony; Differential effects of trait anger on optimism and risk behaviour. Cognition and Emotion 2013, 27, 318-325, 10.1080/02699931.2012.703130.
  17. Niki Harré; Susan Foster; Maree O'neill; Self-enhancement, crash-risk optimism and the impact of safety advertisements on young drivers. British Journal of Psychology 2005, 96, 215-230, 10.1348/000712605x36019.
  18. Ralston Fernandes; R.F. Soames Job; Julie Hatfield; A challenge to the assumed generalizability of prediction and countermeasure for risky driving: Different factors predict different risky driving behaviors. Journal of Safety Research 2007, 38, 59-70, 10.1016/j.jsr.2006.09.003.
  19. Ola Svenson; Baruch Fischhoff; Donald MacGregor; Perceived driving safety and seatbelt usage. Accident Analysis & Prevention 1985, 17, 119-133, 10.1016/0001-4575(85)90015-6.
  20. Keis Ohtsuka; Views on luck and winning, self-control, and gaming service expectations of culturally and linguistically diverse Australian poker machine gamblers. Asian Journal of Gambling Issues and Public Health 2013, 3, 9, 10.1186/2195-3007-3-9.
  21. Keis Ohtsuka; Thai Ohtsuka; Vietnamese Australian Gamblers’ Views on Luck and Winning: Universal Versus Culture-specific Schemas. Asian Journal of Gambling Issues and Public Health 2010, 1, 34-46, 10.1007/bf03342117.
  22. Regan, M. a; Williamson, A.; Grzebieta, R.; Tao, L. Naturalistic Driving Studies: Literature Review and Planning for the Australian Naturalistic Driving Study. In Proceedings of the Australasian College of Road Safety National Conference 2012; Sydney, NSW, Australia, 9–10 August 2012
  23. Balsa-Barreiro, J.; Valero-Mora, P.M.; Berné-Valero, J.L.; Varela-García, F.-A. GIS Mapping of Driving Behavior Based on Naturalistic Driving Data. ISPRS Int. J. Geo-Inf. 2019, 8, 226
  24. José Balsa-Barreiro; Pedro M. Valero-Mora; Mónica Menéndez; Rashid Mehmood; Extraction of Naturalistic Driving Patterns with Geographic Information Systems. Mobile Networks and Applications 2020, ., 1-17, 10.1007/s11036-020-01653-w.
  25. Jessica H. Mirman; Dustin Albert; Lela S. Jacobsohn; Flaura K. Winston; Factors Associated With Adolescents' Propensity to Drive With Multiple Passengers and to Engage in Risky Driving Behaviors. Journal of Adolescent Health 2012, 50, 634-640, 10.1016/j.jadohealth.2011.10.256.
  26. Fearghal O'Brien; Michael Gormley; Risk-perception and dangerous driving among adolescents: Outcome- and behavior-focused questions yield opposite results. Journal of Adolescence 2016, 52, 89-94, 10.1016/j.adolescence.2016.07.010.
  27. Icek Ajzen; The theory of planned behaviour: Reactions and reflections. Psychology & Health 2011, 26, 1113-1127, 10.1080/08870446.2011.613995.
  28. Emma L. Harbeck; A. Ian Glendon; How reinforcement sensitivity and perceived risk influence young drivers’ reported engagement in risky driving behaviors. Accident Analysis & Prevention 2013, 54, 73-80, 10.1016/j.aap.2013.02.011.
  29. Cornelia Măirean; Loredana R. Diaconu-Gherasim; Time perspective, risk perception on the road, and risky driving behavior. Current Psychology 2021, ., 1-10, 10.1007/s12144-021-01921-2.
  30. Nancy Rhodes; Kelly Pivik; Age and gender differences in risky driving: The roles of positive affect and risk perception. Accident Analysis & Prevention 2011, 43, 923-931, 10.1016/j.aap.2010.11.015.
  31. Emma L. Harbeck; A. Ian Glendon; Trevor J. Hine; Young driver perceived risk and risky driving: A theoretical approach to the “fatal five”. Transportation Research Part F: Traffic Psychology and Behaviour 2018, 58, 392-404, 10.1016/j.trf.2018.06.018.
  32. Peter Harris; Sufficient Grounds for Optimism?: The Relationship Between Perceived Controllability and Optimistic Bias. Journal of Social and Clinical Psychology 1996, 15, 9-52, 10.1521/jscp.1996.15.1.9.
  33. Cornelia Măirean; Grigore M. Havârneanu; Simona A. Popușoi; Corneliu-Eugen Havârneanu; Traffic locus of control scale – Romanian version: Psychometric properties and relations to the driver’s personality, risk perception, and driving behavior. Transportation Research Part F: Traffic Psychology and Behaviour 2017, 45, 131-146, 10.1016/j.trf.2016.12.008.
  34. Don A. Moore; Paul J. Healy; The trouble with overconfidence.. Psychological Review 2008, 115, 502-517, 10.1037/0033-295x.115.2.502.
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Danijela Barić
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