scholarly journals Novice Drivers' Risky Driving Behavior, Risk Perception, and Crash Risk: Findings From the DRIVE Study

2009 ◽  
Vol 99 (9) ◽  
pp. 1638-1644 ◽  
Author(s):  
Rebecca Ivers ◽  
Teresa Senserrick ◽  
Soufiane Boufous ◽  
Mark Stevenson ◽  
Huei-Yang Chen ◽  
...  
Keyword(s):  
Risk Perception ◽  
Driving Behavior ◽  
Crash Risk ◽  
Risky Driving ◽  
Novice Drivers

scholarly journals Research on Risky Driving Behavior of Novice Drivers

2019 ◽  
Vol 11 (20) ◽  
pp. 5556
Author(s):  
Longhai Yang ◽  
Xiqiao Zhang ◽  
Xiaoyan Zhu ◽  
Yule Luo ◽  
Yi Luo
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Risky Behaviors ◽  
Driving Behavior ◽  
Risky Driving ◽  
Novice Drivers ◽  
Driving Skills ◽  
Planned Behavior Theory

Novice drivers have become the main group responsible for traffic accidents because of their lack of experience and relatively weak driving skills. Therefore, it is of great value and significance to study the related problems of the risky driving behavior of novice drivers. In this paper, we analyzed and quantified key factors leading to risky driving behavior of novice drivers on the basis of the planned behavior theory and the protection motivation theory. We integrated the theory of planned behavior (TPB) and the theory of planned behavior (PMT) to extensively discuss the formation mechanism of the dangerous driving behavior of novice drivers. The theoretical analysis showed that novice drivers engage in three main risky behaviors: easily changing their attitudes, overestimating their driving skills, and underestimating illegal driving. On the basis of the aforementioned results, we then proposed some specific suggestions such as traffic safety education and training, social supervision, and law construction for novice drivers to reduce their risky behavior.

scholarly journals Hazard Perception–Response: A Theoretical Framework to Explain Drivers’ Interactions with Roadway Hazards

Safety ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 29
Author(s):  
Daniela Barragan ◽  
Matthew S. Peterson ◽  
Yi-Ching Lee
Keyword(s):  
Psychological Research ◽  
Theoretical Framework ◽  
Driving Behavior ◽  
Crash Risk ◽  
Fundamental Aspect ◽  
Future Research ◽  
Limited Evidence ◽  
Theoretical Frameworks ◽  
Novice Drivers ◽  
Related Research

Research suggests that novice drivers are most susceptible to errors when detecting and responding to hazards. If this were true, then hazard training should be effective in improving novice drivers’ performance. However, there is limited evidence to support this effectiveness. Much of this research has overlooked a fundamental aspect of psychological research: theory. Although four theoretical frameworks were developed to explain this process, none have been validated. We proposed a theoretical framework to more accurately explain drivers’ behavior when interacting with hazardous situations. This framework is novel in that it leverages support from visual attention and driving behavior research. Hazard-related constructs are defined and suitable metrics to evaluate the stages in hazard processing are suggested. Additionally, individual differences which affect hazard-related skills are also discussed. This new theoretical framework may explain why the conflicts in current hazard-related research fail to provide evidence that training such behaviors reduces crash risk. Future research is necessary to empirically test this framework.

A study of freeway crash risk prediction and interpretation based on risky driving behavior and traffic flow data

2021 ◽  
Vol 160 ◽  
pp. 106328
Author(s):  
Miao Guo ◽  
Xiaohua Zhao ◽  
Ying Yao ◽  
Pengwei Yan ◽  
Yuelong Su ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Risk Prediction ◽  
Driving Behavior ◽  
Crash Risk ◽  
Flow Data ◽  
Risky Driving

Using Real-Time and Post Hoc Feedback to Improve Driving Safety for Novice Drivers

2016 ◽  
Vol 60 (1) ◽  
pp. 1936-1940 ◽  
Author(s):  
Sheila G. Klauer ◽  
Tina B. Sayer ◽  
Peter Baynes ◽  
Gayatri Ankem
Keyword(s):  
Real Time ◽  
Motor Vehicle ◽  
Driving Behavior ◽  
Driving Safety ◽  
Risky Driving ◽  
Novice Drivers ◽  
Safe Driving ◽  
Driving Behaviors ◽  
Post Hoc ◽  
Risky Driving Behaviors

Introduction. Motor vehicle crashes remain the leading cause of fatalities among teens in the U.S. (National Center for Injury Prevention and Control, 2013). Prior research suggests that real-time and post hoc feedback can improve teen driver behavior. The Driver Coach Study (DCS) aimed to improve teens’ safe driving habits by providing them real-time feedback and post hoc feedback to a broader range of risky driving behaviors that have never been used in previous studies. Exposure data were also collected so that rates of risky driving behaviors over time could be assessed. Post hoc feedback, which included an electronic report card of risky driving behavior as well as video clips, was provided to both teens and parents via email and secure website link. Method. Ninety-two teen/parent dyads were recruited in southwest Virginia to have a data acquisition system (DAS) installed in their vehicles within two weeks of receiving their learner’s permit. Data were collected through the nine-month (minimum) learner’s permit phase plus seven months of provisional licensure. Feedback was only provided for the first six months of post licensure, then turned off to assess whether teenagers returned to unsafe driving behavior. Trained data coders reviewed 15 seconds of video surrounding each risky driving maneuver, and recorded driver errors such as poor vehicle control, poor speed selection, drowsiness, etc., for each event. Results. In this paper, the relationship between driver coaching and driver errors will be examined across the six-month feedback phase and also compared to the seventh month when feedback was turned off. Conclusions. This study has implications for the design of future monitoring and feedback systems, as it is currently unknown whether these devices can improve novice drivers’ crash rates.

scholarly journals Drivers’ Risk Perception and Risky Driving Behavior under Low Illumination Conditions: Modified Driver Behavior Questionnaire (DBQ) and Driver Skill Inventory (DSI)

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jing Liu ◽  
Cheng Wang ◽  
Zhipeng Liu ◽  
Zhongxiang Feng ◽  
N. N. Sze
Keyword(s):  
Risk Perception ◽  
Driver Behavior ◽  
Positive Influence ◽  
Driving Behavior ◽  
Risky Driving ◽  
Driving Experience ◽  
Driving Behaviors ◽  
Driving Skills ◽  
Low Illumination ◽  
Risky Driving Behaviors

Most road crashes are caused by human factors. Risky behaviors and lack of driving skills are two human factors that contribute to crashes. Considering the existing evidence, risky driving behaviors and driving skills have been regarded as potential decisive factors explaining and preventing crashes. Nighttime accidents are relatively frequent and serious compared with daytime accidents. Therefore, it is important to focus on driving behaviors and skills to reduce traffic accidents and enhance safe driving in low illumination conditions. In this paper, we examined the relation between drivers’ risk perception and propensity for risky driving behavior and conducted a comparative analysis of the associations between risk perception, propensity for risky driving behavior, and other factors in the presence and absence of streetlights. Participants in Hefei city, China, were asked to complete a demographic questionnaire, the Driver Behavior Questionnaire (DBQ), and the Driver Skill Inventory (DSI). Multiple linear regression analyses identified some predictors of driver behavior. The results indicated that both the DBQ and DSI are valuable instruments in traffic safety analysis in low illumination conditions and indicated that errors, lapses, and risk perception were significantly different between with and without streetlight conditions. Pearson’s correlation test found that elderly and experienced drivers had a lower likelihood of risky driving behaviors when driving in low illumination conditions, and crash involvement was positively related to risky driving behaviors. Regarding the relationship between study variables and driving skills, the research suggested that age, driving experience, and annual distance were positively associated with driving skills, while myopia, penalty points, and driving self-assessment were negatively related to driving skills. Furthermore, the differences across age groups in errors, lapses, violations, and risk perception in the presence of streetlights were remarkable, and the driving performance of drivers aged 45–55 years was superior to that of drivers in other age groups. Finally, multiple linear regression analyses showed that education background and crash involvement had a positive influence on error, whereas risk perception had a negative effect on errors; crash involvement had a positive influence, while risk perception had a negative effect on lapse; driving experience and crash involvement had a positive influence on violation; and age had a negative influence on it.

Crash Risk and Risky Driving Behavior Among Adolescents During Learner and Independent Driving Periods

2018 ◽  
Vol 63 (5) ◽  
pp. 568-574 ◽  
Author(s):  
Pnina Gershon ◽  
Johnathon P. Ehsani ◽  
Chunming Zhu ◽  
Kellienne R. Sita ◽  
Sheila Klauer ◽  
...  
Keyword(s):  
Driving Behavior ◽  
Crash Risk ◽  
Risky Driving

scholarly journals Integration of Theory of Planned Behavior, Sensation Seeking, and Risk Perception to Explain the Risky Driving Behavior of Truck Drivers

2021 ◽  
Vol 13 (9) ◽  
pp. 5214
Author(s):  
Zhenming Li ◽  
Siu Shing Man ◽  
Alan Hoi Shou Chan ◽  
Jianfang Zhu
Keyword(s):  
Risk Perception ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Sensation Seeking ◽  
Traffic Accidents ◽  
Driving Behavior ◽  
Truck Drivers ◽  
Equation Modeling ◽  
Research Model ◽  
Risky Driving

Truck-related accidents account for a substantial portion of traffic accidents. Risky driving behavior is a main cause of traffic accidents. Understanding the risky driving behavior of truck drivers is therefore important in reducing truck-related accidents. This study aimed to propose and validate a research model that integrated a theory of planned behavior, sensation seeking, and risk perception to explain the risky driving behavior of truck drivers. A total of 471 valid data were collected from Chinese truck drivers in this study. Structural equation modeling and mediation analysis were used to examine the influence of factors in the research model on the risky driving behavior of truck drivers. Results showed that sensation seeking and risk perception of truck drivers were influential in shaping their intention to drive riskily with the mediation of attitude toward risky driving. Risk perception and attitude toward risky driving also had a negative influence and positive influence on the intention, respectively. On the basis of the findings, practical recommendations for reducing the risky driving behavior of truck drivers were provided for concerned parties.

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