An application of the prototype willingness model to drivers' speeding behaviour

Elliott, Mark A.; McCartan, Rebecca; Brewster, Sarah; Coyle, Dionne; Emerson, Lindsey; Gibson, Kayleigh

doi:10.1002/ejsp.2268

Cited by 30 publications

(31 citation statements)

References 62 publications

(112 reference statements)

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“…Interestingly, our findings showed that RLR intention and willingness were crucial predictors of RLR behavior, and the total effect of willingness on RLR behavior was prominently stronger than that of intention. Elliott et al [47] and Demir et al [21] ey also revealed that behavioral willingness contributed more substantially to violating behavior than behavioral intention. us, we concluded that e-bikers might decide on whether to violate a red light through the social reactive pathway rather than the reasoned pathway.…”

Section: Predictive Utility Of Pwm and Tpb-pwmmentioning

confidence: 96%

“…e PWM framework, which focuses on both social reactive decision-making and reasoned one, might contribute to a better understanding of RLR behavior than TPB framework, which is concentrated on reasoned decision-making only. e PWM framework has been successfully applied in examinations of drivers' and pedestrians' violations, such as drink-driving [46], high-speeding [47,48], texting while driving [48], and pedestrians' violations [21]. As far as we are concerned, no previous research studies have employed the PWM framework in the study on e-bikers' violations.…”

Section: Pwm Frameworkmentioning

confidence: 99%

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Understanding Electric Bikers’ Red-Light Running Behavior: Predictive Utility of Theory of Planned Behavior vs Prototype Willingness Model

Tang

Wang

Zhou

et al. 2020

Journal of Advanced Transportation

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To date, electric bikers’ (e-bikers’) red-light running (RLR) behavior is often viewed as one of the main contributors to e-bike-related accidents, especially for traffic scenarios with high e-bike ridership. In this paper, we aim to understand e-bikers’ RLR behavior based on structural equation modeling. Specifically, the predictive utility of the theory of planned behavior (TPB), prototype willingness model (PWM), and their combined form, TPB-PWM model, is used to analyze e-bikers’ RLR behavior, and a comparison analysis is made. The analyses of the three modeling approaches are based on the survey data collected from two online questionnaires, where more than 1,035 participant-completed questionnaires are received. The main findings in this paper are as follows: (i) Both PWM and TPB-PWM models could work better in characterizing e-bikers’ RLR behavior than the TPB model. The former two models explain more than 80% (81.3% and 81.4%, respectively) of the variance in e-bikers’ RLR behavior, which is remarkably higher than that of the TPB model (only 74.3%). (ii) It is also revealed that RLR willingness contributes more on influencing the RLR behavior than RLR intention, which implies that such behavior is dominated by social reactive decision-making rather than the reasoned one. (iii) Among the examined psychological factors, attitude, perceived behavioral control, past behavior, prototype perceptions (favorability and similarity), RLR intention, and RLR willingness were the crucial predictors of e-bikers’ RLR behavior. Our findings also support designing of more effective behavior-change interventions to better target e-bikers’ RLR behavior by considering the influence of the identified psychological factors.

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Section: Predictive Utility Of Pwm and Tpb-pwmmentioning

confidence: 96%

Section: Pwm Frameworkmentioning

confidence: 99%

Understanding Electric Bikers’ Red-Light Running Behavior: Predictive Utility of Theory of Planned Behavior vs Prototype Willingness Model

Tang

Wang

Zhou

et al. 2020

Journal of Advanced Transportation

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“…In an attempt to identify predictors of speeding, many studies have focused on the relationship between attitudes (positive/negative evaluations) and behaviour (e.g., Conner, Lawton, Parker, Chorlton, Manstead & Stradling, 2007;Elliott, Thomson, Robertson, Stephenson & Wicks, 2013;Elliott, McCartan, Brewster, Coyle, Emerson & Gibson, 2016;Lheureux, Auzoult, Charlois, Hardy-Massard, & Minary, 2015). In these and studies of other driving behaviours (e.g., Elliott, 2012) it has been found that attitudes are statistically reliable predictors of behaviour.…”

Section: Introductionmentioning

confidence: 99%

Bi-dimensional attitudes, attitude accessibility and speeding behaviour

McCartan

Elliott

2018

Transportation Research Part F: Traffic Psychology and Behaviou

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Positive and negative attitude dimensions (i.e., bi-dimensional attitudes) asymmetrically predict behaviour, with the positive dimension being the better predictor than the negative dimension. These findings have been demonstrated using self-reported behaviour measures. In this study, we aimed to test the bi-dimensional attitude-behaviour relationship using objectively measured speeding behaviour derived from a driving simulator and test if the asymmetrical prediction of behaviour from the positive and negative attitude dimensions could be explained by attitude accessibility (how available an attitude is in memory and therefore how readily it is able to guide behaviour). One hundred and six drivers completed online measures of the positive and negative dimensions of their attitudes towards exceeding the speed limit. Response latency measures of the accessibilities of both dimensions were also taken. A driving simulator was used to measure speeding behaviour. Both attitude dimensions independently predicted speeding, with the positive dimension being the stronger predictor. The positive attitude dimension was also more accessible than was the negative dimension. The difference in the accessibilities of the positive and negative attitude dimensions significantly mediated the difference in their predictive validities. The results demonstrate that the positive attitude dimension is the principle predictor of speeding and a reason for this is that it is more accessible in memory than is the negative attitude dimension. Road safety interventions (e.g., education) that aim to reduce speeding and associated traffic crashes might usefully decrease the valence or accessibility of the positive attitude dimension. There would also appear to be scope to reduce speeding by increasing the valence or accessibility of the negative attitude dimension.

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“…In terms of the relative importance of the predictors of behavioural willingness, like the reasoned path, attitudes seem to be the strongest predictor of behavioural willingness, followed by norms, and prototype favourability (Gerrard et al, 2002;. Furthermore, tests of the PWM suggest that willingness may be a stronger predictor of behaviour than behavioural intention, depending on age and experience with the behaviour (e.g., Elliott, McCartan, Brewster, Coyle, Emerson, & Gibson, 2017;Gibbons et al, 2009), though both concurrently predict later behaviour.…”

Section: Figure 2 the Prototype Willingness Modelmentioning

confidence: 93%

“…The prototype willingness model of behaviour has been used to examine a wide range of health behaviours including risky sexual behaviours and pregnancy , smoking (Gerrard et al, 2005), alcohol use (Davies, Paltoglou, & Foxcroft, 2017;Todd & Mullan, 2011), eating behaviours (Dohnke, Steinhilber, & Fuchs, 2015), physical activity (Frater, Kuijer, & Kingham, 2017), speeding (Elliott et al, 2017), and drinking and driving (Rivis, Abraham, & Snook, 2011). Across all these studies the three antecedents (norms, attitudes, prototype images) have been found to significantly predict intent and willingness to behave, among adolescents.…”

Section: Applicability Of the Prototype Willingness Modelmentioning

confidence: 99%

Is Drama the New Bullying? Differentiating Bullying and Drama Among College Students

Magner¹

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Compared to research on bullying in schools and in the workplace, little is known about the prevalence and typology of bullying among college age-students. Recent research suggests that young adults may be less in favour of the term "bullying", but more open to the notion of "drama". The concept of drama has existed for some time, and is common vernacular in both media and entertainment, as well as among students and teachers.Though drama has been conceptually linked to bullying, researchers have only just begun to explore this behaviour. The goal of this dissertation was to better understand this construct of drama, and explore it in the context of bullying amongst college students. A total of five studies were conducted using first-and second-year college students exploring conceptualizations of bullying and drama, associations with common forms of aggression, personality profiles of those who engage in bullying and drama, socialcognitive predictors of behavioural decision-making, and the consequences of these behaviours on mental health and well-being. Results indicated that while there is conceptual overlap between bullying and drama, the behaviours are measurably distinct, particularly in terms of the forms of aggression they are associated with, and the traits of those who engage in these behaviours. That being said, the decision-making precursors to engagement in drama appear similar to those involved in bullying: attitudes and norms predict intent and willingness to engage in both behaviours. Finally, bullying seems to remain a salient behaviour among college students, with continued concerns for mental health and well-being, and more importantly, drama appears also to have harmful effects on the psychological adjustment of those who engage in it. The results are discussed in BULLYING AND DRAMA AMONG COLLEGE STUDENTS iii terms of the implications for theory, intervention, and practice in clinical and educational settings.BULLYING AND DRAMA AMONG COLLEGE STUDENTS iv

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An application of the prototype willingness model to drivers' speeding behaviour

Cited by 30 publications

References 62 publications

Understanding Electric Bikers’ Red-Light Running Behavior: Predictive Utility of Theory of Planned Behavior vs Prototype Willingness Model

Understanding Electric Bikers’ Red-Light Running Behavior: Predictive Utility of Theory of Planned Behavior vs Prototype Willingness Model

Bi-dimensional attitudes, attitude accessibility and speeding behaviour

Is Drama the New Bullying? Differentiating Bullying and Drama Among College Students

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