Pedestrian violations: Reasoned or social reactive? Comparing theory of planned behavior and prototype willingness model

Demir, Başar; Özkan, Türker; Demir, Sıla

doi:10.1016/j.trf.2018.11.012

Cited by 51 publications

(36 citation statements)

References 47 publications

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“…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%

“…In this work, the PWM framework was adapted from the study of Gibbons et al [49] (Figure 2). Among the PWM-based variables, prototype perceptions refer to the images of e-bikers (e.g., age and gender) who engage in RLR behavior, consisting of prototype similarity (PS) and prototype favorability (PF) [21,49]. RLR willingness (RW) denotes the e-biker's willingness to violate a red light when such an opportunity is provided [21,49].…”

Section: Pwm Frameworkmentioning

confidence: 99%

“…A recent study has employed a social cognitive theory, the theory of planned behavior (TPB), to recognize the psychological determinants of e-bikers' intention to violate a red light [17]. Nevertheless, some evidence presented that the utility of the TPB framework is insufficient in predicting the unconscious risk-taking behaviors [18][19][20], while the prototype willingness model (PWM) might be a superior social cognitive theory in predicting such behaviors than the TPB framework [21]. Herein, the main goal of our work is to investigate the predictive utility of TPB, PWM, and their combined form, TPB-PWM, in e-bikers' RLR behavior and explore the psychological mechanism behind this behavior.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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: Pwm Frameworkmentioning

confidence: 99%

Section: Pwm Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

show abstract

“…It has been widely studied in the pedestrian context. Such studies have focused more on violations and pedestrian behaviors [15]. For instance a study on the application of the TPB on pedestrians' self-reported violating crossing behavior intentions indicated that people had a negative attitude toward the behavior of violating road-crossing regulations; they perceived social influences from their family and friends; and they believed that this kind of risky behavior would potentially harm them in a traffic accident [16].…”

Section: Introductionmentioning

confidence: 99%

Still careless: Findings from a cross-sectional study of young pedestrians’ risky road crossing behaviors

Hashemiparast

Sharma

Jafarabadi

et al. 2020

Preprint

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Background: Pedestrian-vehicle collision is one of the most common traffic injuries worldwide. This study aimed to investigate the determinants of pedestrians' road crossing beliefs and behaviors in potentially risky situations using the Theory of Planned Behavior among Iranian young adults.Methods: This was a population-based study on a sample of 562 young adults aged 18 to 25 years living in Tehran, Iran. Data were collected by using a self-administered validated questionnaire including constructs of the theory of planned behavior and items of perceived risk and severity. The data were analyzed using independent t-test, analysis of covariance and multivariate analysis of variance.Results: From all the respondents, 17.8% reported that they had previous experience of vehicle-collision. Among the participants, those who had previous experience of vehicle-collision reported less safety behaviors in crossing the road than those who had not experience an accident. It was found significant differences between participants with and without a history of vehicle-collision for perceived risk (mean difference, adjusted multivariate P-value: -5.77, 0.027) and perceived severity (-6.08, 0.003), attitude toward traffic regulations (-6.34, 0.006), attitude toward behavior (-7.56, 0.005), perceived behavioral control (-5.20, 0.018), behavioral intention (-5.35, 0.046) and road crossing behavior in potentially risky situations (-5.37, 0.004). Conclusions: Previous unpleasant experience of vehicle-collision is not the only determinant of self-protective behaviors in road- crossing which indicate the role of cognitive and motivational factors such as, subjective norms, attitudes towards risk, feelings of invulnerability in case of facing with vehicle collision.

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“…It has been widely studied in the pedestrian context. Such studies have focused more on violations and pedestrian behaviors [12]. For instance a study on the application of the TPB on pedestrians' self-reported violating crossing behavior intentions indicated that people had a negative attitude toward the behavior of violating road-crossing regulations; they perceived social influences from their family and friends; and they believed that this kind of risky behavior would potentially harm them in a traffic accident [13].…”

mentioning

confidence: 99%

Still careless: Findings from a cross-sectional study of young pedestrians’ risky road crossing behaviors

Hashemiparast

Sharma

Jafarabadi

et al. 2020

Preprint

View full text Add to dashboard Cite

Background Pedestrian-vehicle collision is one of the most common traffic injuries worldwide. This study aimed to investigate the determinants of pedestrians' road crossing beliefs and behaviors in potentially risky situations using the Theory of Planned Behavior among Iranian young adults. Methods This was a population-based study on a sample of 562 young adults aged 18 to 25 years living in Tehran, Iran. The data were collected using a self-administered validated questionnaire comprising of two potentially risky road crossing behaviors scenarios followed by additional items assessing perceived risk and severity. Results From all the respondents, 17.8% reported that they had previous experience of vehicle-collision while the remaining 82.2% did not. The results indicated that those with previous experience reported fewer safety behaviors than those who did not experience an accident. There were significant differences between participants with and without a history of vehicle-collision for perceived risk (mean difference, adjusted multivariate P-value: -5.77, 0.027) and perceived severity (-6.08, 0.003), attitude toward traffic regulations (-6.34, 0.006), attitude toward behavior (-7.56, 0.005), perceived behavioral control (-5.20, 0.018), behavioral intention (-5.35, 0.046) and road crossing behavior in potentially risky situations (-5.37, 0.004). Conclusions Previous unpleasant experience of vehicle-collision is not the only determinant of self-protective behaviors in the road- crossing and it is important to focus on the effect of attitudinal and motivational factors such as attitudes towards risk, feelings of invulnerability and perception of vehicle- collision severity as well. Future safety education interventions should keep these aspects in their design.

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Pedestrian violations: Reasoned or social reactive? Comparing theory of planned behavior and prototype willingness model

Cited by 51 publications

References 47 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

Still careless: Findings from a cross-sectional study of young pedestrians’ risky road crossing behaviors

Still careless: Findings from a cross-sectional study of young pedestrians’ risky road crossing behaviors

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