Wenguo Zhao

University of Chinese Academy of Sciences

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Weina Qu

Institute of Psychology, Chinese Academy of Sciences

Yan Ge

Institute of Psychology, Chinese Academy of Sciences

Qian Zhang

Institute of Psychology, Chinese Academy of Sciences

Yun Zhang

Anhui Medical University

Kan Zhang

Jiangsu University

Xianghong Sun

University of Chinese Academy of Sciences

Kan Zhang

Chinese Academy of Medical Sciences & Peking Union Medical College

Yuexin Xiong

Institute of Psychology, Chinese Academy of Sciences

Richard Carciofo

University of Reading

Kan Zhang

China Agricultural University

Cooperative Institutions

Institute of Psychology, Chinese Academy of Sciences

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Sun Yat-sen University

Czech Academy of Sciences, Institute of Psychology

Huazhong University of Science and Technology

Shanghai Jiao Tong University

University of Hong Kong

Ningxia University

Shanxi Medical University

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Effects of trait anger, driving anger, and driving experience on dangerous driving behavior: A moderated mediation analysis

Aggressive Behavior (2017)

Yan Ge Qian Zhang Wenguo Zhao Kan Zhang Weina Qu

To explore the effect of anger behind the wheel on driving behavior and accident involvement has been the subject of many studies. However, few studies have explored the interaction between anger and driving experience on dangerous driving behavior. This study is a moderated mediation analysis of the effect of trait anger, driving anger, and driving experience on driving behavior. A sample of 303 drivers was tested using the Trait Anger Scale (TAS), the Driving Anger Scale (DAS), and the Dula Dangerous Driving Index (DDDI). The results showed that trait anger and driving anger were positively correlated with dangerous driving behavior. Driving anger partially mediated the effect of trait anger on dangerous driving behavior. Driving experience moderated the relationship between trait anger and driving anger. It also moderated the effect of driving anger on dangerous driving behavior. These results suggest that drivers with more driving experience may be safer as they are not easily irritated during driving.

Dangerous driving

Trait

Moderated mediation

Aggressive driving

10.1002/ab.21712

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Citations (43)

Expressing Anger Is More Dangerous than Feeling Angry when Driving

PLoS ONE (2016)

Weina Qu Mengnuo Dai Wenguo Zhao Kan Zhang Yan Ge

Anger is an emotion that drivers often feel and express while driving, and it is believed by researchers to be an important cause of dangerous driving behavior. In this study, the relationships between driving trait anger, driving anger expression, and dangerous driving behaviors were analyzed. The Driving Anger Scale (DAS) was used to measure driving trait anger, whereas the Driving Anger Expression (DAX) Inventory was used to measure expressions of driving anger. A sample of 38 drivers completed the DAS, DAX, and a driving simulation session on a simulator where their driving behaviors were recorded. Correlation analysis showed that the higher scores on the DAS were associated with longer durations of speeding in the simulator. The more participants expressed their anger in verbal and physical ways, the more likely they were to crash the virtual vehicle during the simulation. Regression analyses illustrated the same pattern. The findings suggest that, although trait anger is related to speeding, the passive expression of anger is the real factor underling traffic accidents. This study extends findings about the predictive effects of self-report scales of driving behaviors to behaviors recorded on a simulator. Thus, if in traffic safety propaganda, guiding drivers to use positive ways to cope with driving anger is recommended by our findings.

Dangerous driving

Aggressive driving

Trait

Driving simulator

Expression (computer science)

10.1371/journal.pone.0156948

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Citations (26)

Modeling of Causes of Sina Weibo Continuance Intention with Mediation of Gender Effects

Frontiers in Psychology (2016)

Lingyu Wang Wenguo Zhao Xianghong Sun Rui Zheng Weina Qu

Sina Weibo is a Twitter-like social networking site and one of the most popular microblogging services in China. This study aims to examine the factors that influence the intentions of users to continue using this site. This paper synthesizes the expectation confirmation model (ECM), constructs of habit and perceived critical mass, and the gender effect to construct a theoretical model to explain and predict these user intentions. The model is then tested via an online survey of 498 Sina Weibo users and partial least squares (PLS) modeling. The results indicate that the continuance intention of users is directly predicted by their perceived usefulness of the service (β=0.299), their satisfaction (β=0.208), and their habits (β=0.389), which jointly explain 65.9% of the variance in intention. In addition to the effects of these predictors on the continuance intentions of Sina Weibo users, an assessment of the moderating effect of gender suggests that habit plays a more important role for females than for males in continuance intention, but perceived usefulness seems to be more important for males than for females. The implications of these findings are then discussed.

Continuance

Microblogging

Habit

10.3389/fpsyg.2016.00619

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Citations (16)

The effects of the self and social identity on the intention to microblog: An extension of the theory of planned behavior

Computers in Human Behavior (2016)

Caihong Jiang Wenguo Zhao Xianghong Sun Yun Zhang Rui Zheng

Microblogging

10.1016/j.chb.2016.07.046

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Citations (80)

Validation of the Driver’s Angry Thoughts Questionnaire (DATQ) in a Chinese sample

Accident Analysis & Prevention (2016)

Yan Ge Qian Zhang Jingyu Zhang Wenguo Zhao Tao Yu

Aggressive driving

Dangerous driving

10.1016/j.aap.2016.04.025

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Citations (15)

Psychometric adaptation of the driving anger expression inventory in a Chinese sample

Transportation Research Part F Traffic Psychology and Behaviour (2015)

Yan Ge Weina Qu Qian Zhang Wenguo Zhao Kan Zhang

Expression (computer science)

Goodness of fit

10.1016/j.trf.2015.07.008

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Citations (43)

Dangerous Driving in a Chinese Sample: Associations with Morningness-Eveningness Preference and Personality

PLoS ONE (2015)

Weina Qu Yan Ge Yuexin Xiong Richard Carciofo Wenguo Zhao

Individual differences in morningness-eveningness preference may influence susceptibility and response to sleepiness. These differences could influence driving performance, but the influence of morningness-eveningness preference on driving behavior and accident risk has not been comprehensively studied. As morningness-eveningness preference is associated with personality characteristics, we also investigated how the interaction between morningness-eveningness preference and personality may be related to dangerous driving behaviors. Two hundred and ninety five drivers completed the reduced Morningness-Eveningness Questionnaire, the Dula Dangerous Driving Index, and personality scales for agreeableness, conscientiousness and neuroticism, and reported demographic information (gender, age, level of education, driving years and annual average driving mileage) and self-reported traffic violations (accidents, penalty points and fines). The results showed that more Risky Driving, Aggressive Driving, Negative Cognitive/Emotional Driving and Drunk Driving, as measured by the Dula Dangerous Driving Index, were all significantly correlated with more eveningness, corresponding to lower scores on the reduced Morningness-Eveningness Questionnaire. Moreover, eveningness was correlated with self-reported traffic accidents, penalty points and fines. Furthermore, a moderation effect was found: eveningness was more strongly associated with risky driving and negative emotional driving in those who scored high for trait agreeableness.

Chronotype

Conscientiousness

Agreeableness

Moderation

10.1371/journal.pone.0116717

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Citations (27)

The effect of cognitive errors, mindfulness and personality traits on pedestrian behavior in a Chinese sample

Transportation Research Part F Traffic Psychology and Behaviour (2016)

Weina Qu Huihui Zhang Wenguo Zhao Kan Zhang Yan Ge

Sensation Seeking

10.1016/j.trf.2016.06.009