Cyclists’ anger experiences in traffic: The Cycling Anger Scale

Oehl, Michael; Brandenburg, Stefan; Huemer, Anja Katharina

doi:10.1016/j.trf.2019.02.008

Cited by 28 publications

(15 citation statements)

References 39 publications

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“…The final model revealed a significant correlation between cycling anger and cyclists' risky riding, indicating that cyclists who are more prone to be provoked in traffic are more likely to violate traffic rules and commit unintentional errors. Although similar relationships have been documented in several earlier studies [46,47], the current results would provide a clearer picture of the association between these two constructs by employing a latent variable structure as well as a more comprehensive measure of cycling behavior. The findings also resemble conclusions drawn by previous research on automobile drivers, where driving anger was found to significantly increase drivers' endorsement of speeding, ordinary violations, and aberrant driving [39,41,65].…”

Section: Discussionsupporting

confidence: 85%

Section: Cycling Angermentioning

confidence: 99%

“…Cycling anger is a predisposition to experience anger while cycling, commonly viewed as a situation-specific form of personality trait anger [46]. Respondents' cycling anger proneness was measured using the cycling anger scale (CAS) [46]. The CAS contains 14 items, each describing one type of cyclists' problematic interaction with other road users, including police, pedestrians, other cyclists and drivers [40].…”

Section: Cycling Angermentioning

confidence: 99%

“…Respondents were asked to rate the level of anger they would experience when encountering a given situation during cycling on a five-point Likert scale ranging from 1 (not at all) to 5 (very much). The four-factor CAS showed an acceptable internal consistency, with Cronbach's α ranging from 0.61 to 0.88 for the four subscales and 0.71 for the overall scale [46]. The Chinese version of the CAS was adopted in the current study [47], which had the same factorial structure as the original version and demonstrated a good internal consistency (a Cronbach's α of 0.86 for the entire scale).…”

Section: Cycling Angermentioning

confidence: 99%

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Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions

Zheng

et al. 2019

IJERPH

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In recent years, the increasing rate of road crashes involving cyclists with a disproportionate overrepresentation in injury statistics has become a major concern in road safety and public health. However, much remains unknown about factors contributing to cyclists’ high crash rates, especially those related to personal characteristics. This study aims to explore the influence of cyclist personality traits and cycling behaviors on their road safety outcomes using a mediated model combining these constructs. A total of 628 cyclists completed an online questionnaire consisting of questions related to cycling anger, impulsiveness, normlessness, sensation seeking, risky cycling behaviors, and involvement in crash-related conditions in the past year. After the psychometric properties of the employed scales were examined, the relationships among the tested constructs were investigated using structural equation modeling. The results showed that cyclists’ crash risks were directly predicted by risky cycling behaviors and cycling anger, and the effects of cycling anger, impulsiveness, as well as normlessness on crash risks, were mediated by cycling behaviors. The current findings provide insight into the importance of personality traits in impacting cycling safety and could facilitate the development of evidence-based prevention and promotion strategies targeting cyclists in China.

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Section: Discussionsupporting

confidence: 85%

Section: Cycling Angermentioning

confidence: 99%

Section: Cycling Angermentioning

confidence: 99%

Section: Cycling Angermentioning

confidence: 99%

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Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions

Zheng

et al. 2019

IJERPH

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“…People who cycle use a zero-impact vehicle and also improve their quality of life, enjoying the health benefits provided by this active mode of transportation [10][11][12][13]. However, the main problem for cyclists is safety, because bikers and pedestrians-the so-called "vulnerable road users" (VRU)-ask for more secure infrastructures because of their higher risk of being severely injured in collisions than motorised vehicle drivers [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

A GIS-Based Methodology for Evaluating the Increase in Multimodal Transport between Bicycle and Rail Transport Systems. A Case Study in Palermo

Capodici

D’Orso

Migliore

2021

IJGI

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Background: In a world where every municipality is pursuing the goals of more sustainable mobility, bicycles play a fundamental role in getting rid of private cars and travelling by an eco-friendly mode of transport. Additionally, private and shared bikes can be used as a feeder transit system, solving the problem of the first- and last-mile trips. Thanks to GIS (Geographic Information System) software, it is possible to evaluate the effectiveness of such a sustainable means of transport in future users’ modal choice. Methods: Running an accessibility analysis of cycling and rail transport services, the potential mobility demand attracted by these services and the possible multimodality between bicycle and rail transport systems can be assessed. Moreover, thanks to a modal choice model calibrated for high school students, it could be verified if students will be really motivated to adopt this solution for their home-to-school trips. Results: The GIS-based analysis showed that almost half of the active population in the study area might potentially abandon the use of their private car in favour of a bike and its combination with public transport systems; furthermore, the percentage of the students of one high school of Palermo, the Einstein High School, sharply increases from 1.5% up to 10.1%, thanks also to the combination with the rail transport service. Conclusions: The GIS-based methodology shows that multimodal transport can be an effective way to pursue a more sustainable mobility in cities and efficiently connect suburbs with low-frequent public transport services to the main public transport nodes.

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Links between observed and self-reported driving anger, observed and self-reported aggressive driving, and personality traits

Ābele

Haustein

Møller

et al. 2020

Accident Analysis & Prevention

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Cyclists’ anger experiences in traffic: The Cycling Anger Scale

Cited by 28 publications

References 39 publications

Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions

Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions

A GIS-Based Methodology for Evaluating the Increase in Multimodal Transport between Bicycle and Rail Transport Systems. A Case Study in Palermo

Links between observed and self-reported driving anger, observed and self-reported aggressive driving, and personality traits

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