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 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.

scholarly journals Understanding Traffic Accidents among Young Drivers in Qatar

2022 ◽  
Vol 19 (1) ◽  
pp. 514
Author(s):  
Faris Tarlochan ◽  
Mohamed Izham Mohamed Ibrahim ◽  
Batool Gaben
Keyword(s):  
Traffic Accidents ◽  
Corrective Feedback ◽  
Risky Behaviors ◽  
Driving Behavior ◽  
Self Report ◽  
Measurement Scales ◽  
Risky Driving ◽  
Driving Behaviors ◽  
Young Drivers ◽  
Risky Driving Behaviors

Young drivers are generally associated with risky driving behaviors that can lead to crash involvement. Many self-report measurement scales are used to assess such risky behaviors. This study is aimed to understand the risky driving behaviors of young adults in Qatar and how such behaviors are associated with crash involvement. This was achieved through the usage of validated self-report measurement scales adopted for the Arabic context. A nationwide cross-sectional and exploratory study was conducted in Qatar from January to April 2021. Due to the Covid-19 pandemic, the survey was conducted online. Therefore, respondents were selected conveniently. Hence, the study adopted a non-probability sampling method in which convenience and snowball sampling were used. A total of 253 completed questionnaires were received, of which 57.3% were female, and 42.7% were male. Approximately 55.8% of these young drivers were involved in traffic accidents after obtaining their driving license. On average, most young drivers do have some risky driving behavior accompanied by a low tendency to violate traffic laws, and their driving style is not significantly controlled by their personality on the road. The older young drivers are more involved in traffic accidents than the younger drivers, i.e., around 1.5 times more likely. Moreover, a young male driver is 3.2 times less likely to be involved in traffic accidents than a female driver. In addition, males are only 0.309 times as likely as females to be involved in an accident and have approximately a 70% lower likelihood of having an accident versus females. The analysis is complemented with the association between young drivers’ demographic background and psychosocial-behavioral parameters (linking risky driving behavior, personality, and obligation effects on crash involvement). Some interventions are required to improve driving behavior, such as driving apps that are able to monitor and provide corrective feedback.

scholarly journals Intelligent Method for Identifying Driving Risk Based on V2V Multisource Big Data

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Jinshuan Peng ◽  
Yiming Shao
Keyword(s):  
Neural Network ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Time Window ◽  
Driving Behavior ◽  
Practical Significance ◽  
Accurate Identification ◽  
Risky Driving ◽  
Bayesian Filter ◽  
Identification Rate

Risky driving behavior is a major cause of traffic conflicts, which can develop into road traffic accidents, making the timely and accurate identification of such behavior essential to road safety. A platform was therefore established for analyzing the driving behavior of 20 professional drivers in field tests, in which overclose car following and lane departure were used as typical risky driving behaviors. Characterization parameters for identification were screened and used to determine threshold values and an appropriate time window for identification. A neural network-Bayesian filter identification model was established and data samples were selected to identify risky driving behavior and evaluate the identification efficiency of the model. The results obtained indicated a successful identification rate of 83.6% when the neural network model was solely used to identify risky driving behavior, but this could be increased to 92.46% once corrected by the Bayesian filter. This has important theoretical and practical significance in relation to evaluating the efficiency of existing driver assist systems, as well as the development of future intelligent driving systems.

Risky Behaviors: Integrating Adolescent Egocentrism with the Theory of Planned Behavior

2016 ◽  
Vol 20 (4) ◽  
pp. 392-398 ◽  
Author(s):  
Phoebe Lin
Keyword(s):  
Theory Of Planned Behavior ◽  
Health Outcomes ◽  
Planned Behavior ◽  
Age Groups ◽  
Risky Behaviors ◽  
Great Success ◽  
Persuasive Messages ◽  
Multiple Health Behaviors ◽  
Negative Health Outcomes ◽  
Multiple Health

Of all age groups, adolescents are at the highest risk for experiencing negative health outcomes associated with risky behaviors. Persuasive messages targeting adolescents that urge them to refrain from tobacco use and alcohol consumption have not been met with great success, perhaps in part due to adolescent egocentrism. The utility of the theory of planned behavior applied to health outcomes has been supported across multiple health behaviors for adults. Perhaps integrating the two constructs of adolescent egocentrism with the three components of the theory of planned behavior will better enable researchers to persuade adolescents to refrain from risky behaviors, leading to improved health outcomes.

scholarly journals Safety attitudes and behavioral intentions of municipal waste disposal drivers

2008 ◽  
Vol 19 (2) ◽  
pp. 23-37 ◽  
Author(s):  
Swartz M Stephen ◽  
Matthew A Douglas
Keyword(s):  
Theory Of Planned Behavior ◽  
Risk Aversion ◽  
Planned Behavior ◽  
Perceived Control ◽  
Behavioral Intentions ◽  
Risky Behaviors ◽  
Safety Performance ◽  
Municipal Waste ◽  
Motor Vehicles ◽  
Safety Attitudes

The Theory of Planned Behavior was used to study factors useful for predicting Behavioral Intentions to commit unsafe acts while driving for commercial drivers working for municipal waste management operations centers. The Theory of Planned Behavior was found to be moderately effective in predicting behavioral intentions, particularly through the constructs of Attitude and Perceived Control. Driver perceptions of safety climate, self-assessed personal safety performance, risk aversion, and attitudes toward behavioral factors associated with engaging in risky behaviors while operating motor vehicles were studied. Risk aversion and driver perception of their own safety performance were also useful predictors of intention.

scholarly journals Driver behaviour and traffic accident involvement among professional heavy semi-trailer truck drivers in China

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260217
Author(s):  
Wanli Han ◽  
Jianyou Zhao ◽  
Ying Chang
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Principal Component ◽  
Binary Logistic Regression ◽  
Driving Behavior ◽  
Truck Drivers ◽  
Driver Behaviour ◽  
Professional Drivers ◽  
Accident Prediction ◽  
Driving Time

The purpose of this study was to develop a driving behavior scale for professional drivers of heavy semi-trailer trucks in China, and study the causes of such driving behavior and its impact on traffic safety operation. Data was processed by IBM SPSS 25. In addition to principal component analysis, Promax rotation, Bartlett’s test, Cronbach’s alpha, correlation analysis and binary logistic regression were examined. A DBQ with 4 dimensions and 20 items, and a PDBQ with 1 dimension and 6 items were developed for professional drivers of heavy semi-trailer trucks in China. The KMO coefficients of PDBQ and DBQ were 0.822 and 0.852, respectively, and the significant level of Bartlett’s popularity test was p < 0.0001. The accident prediction model showed that the variables related to traffic accidents were negligence/lapses and driving time of heavy semi-trailer truck drivers. 1–5 a.m. was found to be the most dangerous period for drivers of medium and heavy semi-trailer trucks, during which accidents were most likely to happen. As negligence/lapses increased by one unit, the probability of traffic accidents increased by 2.293 times.

scholarly journals Effectiveness of Family Empowerment towards Diet Compliance and Family Independence in Caring for Family Members with Diabetes Mellitus: A Systematic Review

2021 ◽  
Vol 15 (1) ◽  
pp. 9-19
Author(s):  
Angga Miftakhul Nizar Nizar ◽  
Kusnanto ◽  
Lilik Herawati
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Family Members ◽  
Dietary Adherence ◽  
Family Empowerment ◽  
Adherence To Diet ◽  
Planned Behavior Theory ◽  
Diet Compliance

Diabetes mellitus has now become a major problem in non-communicable diseases whose prevalence continues to increase. Lack of family independence and client non-compliance with the diet program greatly affects blood sugar levels. This study needs to evaluate the effectiveness of family empowerment towards diet compliance and family independence in caring for family members with diabetes mellitus. A systematic review searched five electronic databases (Scopus, sciencedirect, pubmed, research gate, and google scholar) with the last ten years (2011-2021). The quality of the articles used in this study was assessed using the Joanna Briggs Institute Guideline. The prism protocol is also used to review each journal. We found 15 studies out of a total of 5,865 studies that discussed family empowerment in increasing family independence and dietary adherence in family members suffering from diabetes mellitus. Family empowerment is one method that is quite effective in increasing family independence and adherence to diet programs. There are six articles (40%) that state that planned behavior theory is effective in increasing family independence and dietary adherence to family members suffering from diabetes mellitus. From all the articles analyzed, there are several effective theories to empower families to change the behavior of family independence and individual diet compliance, namely the theory of planned behavior. However, this study is not strong enough to provide an assessment that family empowerment based on the theory of planned behavior and empowerment is the best way to increase independence, therefore further research is needed.

scholarly journals Analisis Konsumsi Layanan SPA Di Era Baru, Perspektif Theory of Planned Behavior (TPB)

2020 ◽  
pp. 326
Author(s):  
Putu Saroyini Piartrini
Keyword(s):  
Data Analysis ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Perceived Risk ◽  
Behavioral Control ◽  
Subjective Norms ◽  
Perceived Behavioral Control ◽  
Treatment Provider ◽  
Planned Behavior Theory ◽  
Spa Treatment

Present study predict intention to engage in SPA in Post Pandemi situation from Planned Behavior Theory, extended with Perceived Risk as predictors. Data were accumulated from 390 SPA customers who engaged in SPA treatment in Kuta and Ubud as main destination of foreign visitors. data analysis uncovered that attitude, subjective norms , perceived behavioral control and perceived risk significantly affected intention to engage in SPA treatment. to encourage intention to engage in SPA treatment provider needs to implement health and security procedures consistently because higher perceived risk will lessen intention to engage in SPA treatment.

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