scholarly journals Analysis on the Influencing Factors of Driving Behaviours Based on Theory of Planned Behaviour

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Lisheng Jin ◽  
Baicang Guo ◽  
Yuying Jiang ◽  
Qiang Hua
Keyword(s):  
Traffic Safety ◽  
Latent Variables ◽  
Structural Equation ◽  
Theory Of Planned Behaviour ◽  
Road Traffic ◽  
Analysis Model ◽  
Planned Behaviour ◽  
Driving Experience ◽  
Road Traffic Safety ◽  
Driving Behaviour

Driving behaviour is a complex and multidisciplinary research domain, and bad driving behaviours that threaten the safety of road users should be refrained. In order to better educate, manage, and restrain driver’s behaviours, from the perspective of human factors and psychology, the present study deconstructed driving behaviours based on theory of planned behaviour (TPB) into five categories: mistakes (Mis), lapses and slips (LaS), violations (Vio), driving experience (Exp), and safety attitude and awareness (SAA). According to today’s practical traffic rules and conditions in China, a driving behaviour questionnaire was built as an analysing tool and the survey data were collected in accordance with the demographic of Chinese drivers. Furthermore, a driving behaviour analysis model contains the aforementioned categories was established by using the structural equation model (SEM). Through the path analysis results among latent variables and manifested variables, it was found that Exp has an impact on Vio and LaS, and better SAA can inhibit Vio and Mis. In conclusion, the prime aim of improving road traffic safety is to reduce Vio by means of educating and improving the drivers’ Exp and SAA. Moreover, drivers’ LaS and Mis are transition processes which should be corrected timely and prevented from continuing to evolve into Vio.

scholarly journals Analysis of Differences in ECG Characteristics for Different Types of Drivers under Anxiety

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yongqing Guo ◽  
Xiaoyuan Wang ◽  
Qing Xu ◽  
Quan Yuan ◽  
Chenglin Bai ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Warning System ◽  
Actual State ◽  
Ecg Signal ◽  
Test Analysis ◽  
Driving Experience ◽  
Road Traffic Safety ◽  
Different Types ◽  
Unpleasant Feeling

Anxiety is a complex emotion characterized by an unpleasant feeling of tension when people anticipate a threat or negative consequence. It is regarded as a comprehensive reflection of human thought processes, physiological arousal, and external stimuli. The actual state of emotion can be represented objectively by human physiological signals. This study aims to analyze the differences of ECG (electrocardiogram) characteristics for various types of drivers under anxiety. We used several methods to induce drivers’ mood states (calm and anxiety) and then conducted the real and virtual driving experiments to collect driver’s ECG signal data. Physiological changes in ECG during the experiments were recorded using the PSYLAB software. The independent sample t-test analysis was conducted to determine if there are significant differences in ECG characteristics for different types of drivers in anxious state during driving. The results show that there are significant differences in ECG signal characteristics of drivers by gender, age, and driving experience, in time domain, frequency domain, and waveform under anxiety. Our findings of this study contribute to the development of more intelligent and personalized driver warning system, which could improve road traffic safety.

Development of Road Traffic Safety Education System Based on Virtual Reality Technology

2012 ◽  
Vol 229-231 ◽  
pp. 1710-1714
Author(s):  
Xue Jian Jiao ◽  
Shan Chai
Keyword(s):  
Virtual Reality ◽  
Traffic Safety ◽  
Education System ◽  
Single Channel ◽  
Road Traffic ◽  
Dynamics Simulation ◽  
Safety Education ◽  
Projection System ◽  
Driving Experience ◽  
Road Traffic Safety

Road traffic safety is a major security problem faced by our society. It has great significance for the society to give the driver a safety education in the totally immersed virtual reality environment. With the single channel stereo display projection system, we established the road traffic safety education system, and solved some key issues, such as the physical modeling of immersive driving experience, the vehicle dynamics simulation and so on. Practical application shows that the system has achieved the purpose of road traffic safety education.

scholarly journals Exploring traffic safety climate with driving condition and driving behaviour: a random parameter structural equation model approach

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Daiquan Xiao ◽  
Xiaofei Jin ◽  
Xuecai Xu ◽  
Changxi Ma ◽  
Quan Yuan
Keyword(s):  
Structural Equation Model ◽  
Traffic Safety ◽  
Latent Variables ◽  
Structural Equation ◽  
Safety Climate ◽  
Random Parameter ◽  
Equation Model ◽  
Driving Behaviour ◽  
Driving Condition ◽  
Driving Conditions

Abstract This study aimed to explore traffic safety climate by quantifying driving conditions and driving behaviour. To achieve the objective, the random parameter structural equation model was proposed so that driver action and driving condition can address the safety climate by integrating crash features, vehicle profiles, roadway conditions and environment conditions. The geo-localized crash open data of Las Vegas metropolitan area were collected from 2014 to 2016, including 27 arterials with 16 827 injury samples. By quantifying the driving conditions and driving actions, the random parameter structural equation model was built up with measurement variables and latent variables. Results revealed that the random parameter structural equation model can address traffic safety climate quantitatively, while driving conditions and driving actions were quantified and reflected by vehicles, road environment and crash features correspondingly. The findings provide potential insights for practitioners and policy makers to improve the driving environment and traffic safety culture.

scholarly journals Exploration of Contributing Factors of Different Distracted Driving Behaviors

2019 ◽  
Vol 31 (6) ◽  
pp. 633-641
Author(s):  
Jing Shi ◽  
Dandan Peng ◽  
Yao Xiao
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Theory Of Planned Behaviour ◽  
Equation Model ◽  
Distracted Driving ◽  
Contributing Factors ◽  
Planned Behaviour ◽  
Mobile Phone Application ◽  
Driving Behaviors ◽  
Driving Behaviour

The motivation of this research is to explore the contributing factors of driving distraction and compare the contributing factors for three typical distracted driving behaviours: drinking water, answering a phone and using mobile phone application (APP) while driving. An online survey including a driving behaviour scale and the Theory of Planned Behaviour Questionnaire (TPB Questionnaire) was conducted to obtain data related to these driving distractions. An integral structural equation model based on the Theory of Planned Behaviour (TPB) was established to explain the factors causing three typical distracted behaviours, and the causes of differences for three typical distracted behaviours were compared. The result shows that the attitudes and perceived behaviour control are the main factors causing distracted behaviours, and the subjective norm has a significant impact on answering a phone while driving. The occurrence of a distracted driving behaviour is the consequence of behaviour intention and perceived behaviour control. These conclusions provide insights for implementing behaviour modification and traffic laws education.

Safety Enhancement by Automated Driving: What are the Relevant Scenarios?

2020 ◽  
Vol 64 (1) ◽  
pp. 1686-1690
Author(s):  
Niklas Grabbe ◽  
Michael Höcher ◽  
Alexander Thanos ◽  
Klaus Bengler
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Test Cases ◽  
Automated Driving ◽  
Road Traffic Safety ◽  
Human Driver ◽  
Driving Task ◽  
Promising Solution ◽  
Vehicle Automation ◽  
Safety Enhancement

Automated driving offers great possibilities in traffic safety advancement. However, evidence of safety cannot be provided by current validation methods. One promising solution to overcome the approval trap (Winner, 2015) could be the scenario-based approach. Unfortunately, this approach still results in a huge number of test cases. One possible way out is to show the current, incorrect path in the argumentation and strategy of vehicle automation, and focus on the systemic mechanisms of road traffic safety. This paper therefore argues the case for defining relevant scenarios and analysing them systemically in order to ultimately reduce the test cases. The relevant scenarios are based on the strengths and weaknesses, in terms of the driving task, for both the human driver and automation. Finally, scenarios as criteria for exclusion are being proposed in order to systemically assess the contribution of the human driver and automation to road safety.

scholarly journals Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lei Lin ◽  
Feng Shi ◽  
Weizi Li
Keyword(s):  
New York ◽  
Los Angeles ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Human Mobility ◽  
Critical Conditions ◽  
Road Traffic Safety ◽  
Accident Data ◽  
The Impact

AbstractCOVID-19 has affected every sector of our society, among which human mobility is taking a dramatic change due to quarantine and social distancing. We investigate the impact of the pandemic and subsequent mobility changes on road traffic safety. Using traffic accident data from the city of Los Angeles and New York City, we find that the impact is not merely a blunt reduction in traffic and accidents; rather, (1) the proportion of accidents unexpectedly increases for “Hispanic” and “Male” groups; (2) the “hot spots” of accidents have shifted in both time and space and are likely moved from higher-income areas (e.g., Hollywood and Lower Manhattan) to lower-income areas (e.g., southern LA and southern Brooklyn); (3) the severity level of accidents decreases with the number of accidents regardless of transportation modes. Understanding those variations of traffic accidents not only sheds a light on the heterogeneous impact of COVID-19 across demographic and geographic factors, but also helps policymakers and planners design more effective safety policies and interventions during critical conditions such as the pandemic.

Extending the theory of planned behaviour to explore the plastic waste minimisation intention of Hong Kong citizens

2021 ◽  
pp. 1-19
Author(s):  
Winnie Wing Mui So ◽  
Irene Nga Yee Cheng ◽  
Lewis Ting On Cheung ◽  
Yu Chen ◽  
Stephen Cheuk Fai Chow ◽  
...  
Keyword(s):  
Hong Kong ◽  
Structural Equation ◽  
Theory Of Planned Behaviour ◽  
Plastic Waste ◽  
Situational Factors ◽  
Planned Behaviour ◽  
Equation Modelling ◽  
Waste Minimisation ◽  
Permanent Residents ◽  
Positive Effect

Abstract This study aimed to explore the relationships between situational and psychological factors and Hong Kong citizens’ plastic waste management (PWM) intentions based on an extended theory of planned behaviour model with situational factors. A total of 996 Hong Kong permanent residents were surveyed, and data were analysed using structural equation modelling. The results revealed that situational factors had a direct and positive effect on PWM intention, but also affected PWM intention indirectly through their significant effects on attitude and perceived behavioural control regarding PWM. The implications for environmental education and policy are discussed.

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