Speeding drivers’ attitudes and perceptions of speed cameras in rural England

Blincoe, Kate M.; Jones, Andrew; Sauerzapf, V.; Haynes, Robin

doi:10.1016/j.aap.2005.10.008

Cited by 39 publications

(35 citation statements)

References 14 publications

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“…For example, drivers in freeflow conditions may forget to scan the speedometer and match speed with vehicles traveling faster than the limit, or they may be in an unfamiliar area and not know the speed limit. Blincoe, Jones, Sauerzapf, and Haynes (2006) surveyed several hundred drivers about reasons they were convicted for speeding, and a significant portion of the sample indicated that poor signage prefaced their citation.…”

Section: Alerting Drivers When They Speedmentioning

confidence: 99%

The Effects of External Motivation and Real-Time Automated Feedback on Speeding Behavior in a Naturalistic Setting

Reagan

Bliss

Houten³

et al. 2012

Hum Factors

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Objective: In this field experiment, the authors tested an alerting system and a monetary incentive system with the objective of reducing speeding more than 5 mph faster than the posted speed limit.Background: Speeding is a factor in a significant number of traffic fatalities. The systems tested in this project have been evaluated outside but not within the United States. These studies indicated that similar systems led to reductions in speeding.Method: For this study, eight vehicles were instrumented such that vehicle speed and speed limits were linked in real time. A total of 50 participants drove assigned vehicles for 4 weeks. Week 1 was a baseline period; during Week 2 or Week 3, 40 participants experienced the alerting system that issued auditory and visual advisory signals when drivers exceeded the limit by 5 mph or more. Of these 40 individuals, 20 experienced the monetary incentive system during Weeks 2 and 3; Week 4 was a return-to-baseline period. A control group of 10 drivers experienced neither system during the study.Results: Results indicated that the incentive system resulted in significant reductions in driving faster than the posted limit, and the feedback system led to modest changes in speeding. In the condition in which drivers experienced the feedback and incentive, reductions in speeding were similar to those found during the incentiveonly condition.Conclusion: The technology tested in this study has potential to benefit traffic safety by reducing the incidence of driving faster than the posted limit, which should lead to a reduction in speed-related crashes.Application: Insurers provide incentive-based discounts on premiums. Combining this technology with such a discount program may improve traffic safety significantly.

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Section: Alerting Drivers When They Speedmentioning

confidence: 99%

The Effects of External Motivation and Real-Time Automated Feedback on Speeding Behavior in a Naturalistic Setting

Reagan

Bliss

Houten³

et al. 2012

Hum Factors

View full text Add to dashboard Cite

show abstract

“…Positive affects such as pleasure or thrill are related to risky driving behaviour or intentions, and negative affects such as worry or fear are related to safe driving behaviour or intentions (Lawton et al 1997, Department for Transport 2000, McKenna 2005, Lawton et al 2007, Taubman-Ben-Ari 2008. For example, drivers may speed up when stressed or upset, slow down or speed inadvertently (McKenna 2005, Blincoe et al 2006, Stradling 2007. Research into emotions has focussed largely on high arousal mood states, leaving something of a research gap when addressing low arousal mood states.…”

Section: Introductionmentioning

confidence: 99%

Factors that comprise driver boredom and their relationships to preferred driving speed and demographic variables

Heslop

Harvey

Thorpe

et al. 2010

Transportation Planning and Technology

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Driver boredom is an area of driver behaviour that has received limited attention. This study explores the factor structure underlying driver boredom and investigates age and gender differences in the experience of driver boredom, and preferred driving speeds using a self-report questionnaire. A rotated principle components analysis of 49 attitude items yielded four dimensions: responses to under-stimulation; flow; lapse and error-proneness; and anxiety. Age and gender differences were found in these dimensions as well as in preferred driving speeds; two of the factors, responses to under-stimulation and flow were particularly related to preferred driving speeds on all but urban roads. These findings are considered in terms of cognitive capacity required for driving, self-reporting of cognitive failure and error-proneness and the implications for drivers maintaining safety margins when bored.

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“…Indeed the legality of behaviors on the road is, arguably, not often uppermost in driver's minds; many do not regard minor traffic offences as crimes at all (Blincoe et al, 2006), which may complicate the link between police legitimacy and compliance in such situations. One interpretation of our results, however, is that people don't abide by traffic regulations because they are laws, but because the activities proscribed are potentially harmful to others, and their sense of the importance of avoiding harm to others is enhanced when their identification with superordinate groups is activated -hence, when identification with the 'Scottish' community increases, propensity to engage in activities that might harm others in this group diminishes.…”

Section: Discussionmentioning

confidence: 99%

Obeying the Rules of the Road

Bradford

Hohl

Jackson

et al. 2015

Journal of Contemporary Criminal Justice

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Jonathan Jackson is a professor of research methodology at the London School of Economics and a member of the LSE's Mannheim Centre for Criminology. Permanent repository link Sarah MacQueen is a Research Fellow with the Scottish Centre for Crime and Justice Research based at the University of Edinburgh Law School Word count (including abstract, footnotes, references, tables): 8,981Abstract Why do people comply with traffic laws and regulations? Road traffic policing tends to be premised on the idea that people comply when they are presented with a credible risk of sanction in the event of non-compliance. Such an instrumental model of compliance contrasts with the normative account offered by procedural justice theory, in which compliance is encouraged by legitimate legal authorities. Comparing these two accounts, we find evidence that both instrumental and normative factors explain variance in motorists' self-reported propensity to offend. Extending the standard procedural justice account, we also find that it is social identitynot legitimacy -that forms the 'bridge' linking procedural fairness and compliance, at least according to a definition of legitimacy that combines felt obligation and moral endorsement. Fair treatment at the hands of police officers seems to enhance identification with the social group the police represent, and in turn, identification seems to motivate adherence to rules (laws) governing social behavior. These findings have implications not only for understandings of legal compliance, but also our understanding of why procedural justice motivates compliance, and the role of procedural justice in promoting social cohesion.

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Speeding drivers’ attitudes and perceptions of speed cameras in rural England

Cited by 39 publications

References 14 publications

The Effects of External Motivation and Real-Time Automated Feedback on Speeding Behavior in a Naturalistic Setting

The Effects of External Motivation and Real-Time Automated Feedback on Speeding Behavior in a Naturalistic Setting

Factors that comprise driver boredom and their relationships to preferred driving speed and demographic variables

Obeying the Rules of the Road

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