scholarly journals Analysis of driver behavior in Amman using Manchester Driver Behavior Questionnaire

2021 ◽  
Author(s):  
Khair Jadaan ◽  
Noor Albeetar ◽  
Dania Abuhalimeh ◽  
Yara Naji
Keyword(s):  
Social Sciences ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Driver Behavior ◽  
Causative Factor ◽  
Background Information ◽  
Risky Driving ◽  
Driving Experience ◽  
Spss Software ◽  
The Relationship

A key component in combating traffic accidents is to study the contributory factors behind them, among these factors, the driver behavior stands out as the main causative factor. One of the most effective tools used worldwide in measuring self-reported driving components is the Manchester Driver Behavior Questionnaire (DBQ), it investigates the relationship between the driver and accidents involvement, throughout the analysis of both sociodemographic characteristics of drivers, and the risky driving components practiced such as; violations, errors and lapses. The present study investigates the factor structure of the DBQ and examines the relationships between the driver behavior factors and accident involvement. A survey questionnaire including the DBQ and background information was filled by a randomly selected sample of drivers in Amman, the capital of Jordan and the Statistical Package for Social Sciences (SPSS) software was used for data analysis. Driver behavior differed according to the gender, educational level and driving experience of the respondents. The results reflected the lifestyle, way of thinking and the general attitude of the driver and its relationship with traffic safety.

scholarly journals Analysis of Speed Related Behavior of Kuwaiti Drivers Using the Driver Behavior Questionnaire

2019 ◽  
Vol 48 (2) ◽  
pp. 150-158 ◽  
Author(s):  
Jamal Al Matawaha ◽  
Khair Jadaan ◽  
Brian Freeman
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Driver Behavior ◽  
Arabian Gulf ◽  
Education Level ◽  
Background Information ◽  
Driver Behaviour ◽  
Driving Experience ◽  
The World ◽  
The Relationship

The Manchester Driver Behaviour Questionnaire (DBQ) is widely used to measure driving styles and investigate the relationship between driving behaviour and accidents involvement. Recent evaluations of different population groups have taken place throughout the world, including countries in the Arabian Gulf. This study seeks to extend the application of the DBQ to Kuwait with its mix of native and expatriate drivers, by examining the relationships between speed-related behavior and accident involvement using a speed-related score (SRS). For this purpose, 536 respondents (425 Kuwaitis and 111 Non-Kuwaitis) were asked to complete a questionnaire based on the DBQ parameters as well as background information. The results showed that young Kuwaiti male drivers scored highest in most of the areas. Factor analysis resulted in four significant dimensions; speed-related violations, anger related violations, errors, and lapses. The study focused on the speed related violation score (SRS) as the dependent variable. The statistical analysis using ANOVA and t- test showed that there is a significant effect of such factors as accident involvement, age, gender, nationality, education level, driving experience and marital status. Some countermeasures to reduce accidents were identified focusing on those groups with higher SRS values.

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 Estimation of Crash Severity on Mountainous Freeways in Chongqing

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Yunwei Meng
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Weather Conditions ◽  
Crash Severity ◽  
Driving Experience ◽  
Factors Affecting ◽  
The Past ◽  
Accident Severity ◽  
Partial Proportional Odds Model ◽  
The Times

Mountainous freeways always suffer from accidents due to special terrain, weather conditions, driving environment, and so on. Based on the records of 898 accidents that occurred on mountainous freeways in Chongqing during the past 6 years, the partial proportional odds model is used to identify the factors affecting the accident severity. The time of the accident, season, involvement of trucks, accident characteristics, speeding, maximum driving experience of involved drivers, and weather and road conditions are found to be important for the levels of accident severity. Zero to 6 a.m. and 19 to 24 p.m. are the times prone to serious traffic accidents. The probability of serious traffic accidents in summer and autumn is greater than that in spring and winter. Once a truck is involved in an accident, the consequence is often more severe. Turnover and speeding will result in a grave accident. When there is an experienced driver, the probability of serious traffic accidents is low. The fog is extremely unfavorable weather conditions. The probability of serious accident happening in the downgrade, ramp, curve, bridge, and tunnel sections is greater than the others. The results aim to provide valuable reference for traffic safety on mountainous freeways.

scholarly journals Study and Simulation Analysis of Vehicle Rear-End Collision Model considering Driver Types

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Qiang Luo ◽  
Xinqiang Chen ◽  
Jie Yuan ◽  
Xiaodong Zang ◽  
Junheng Yang ◽  
...  
Keyword(s):  
Reaction Time ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Simulation Analysis ◽  
Fuzzy Theory ◽  
Driving Safety ◽  
Driving Experience ◽  
Factors Affecting ◽  
Safety Distance ◽  
Traffic Regulation

The reasonable distance between adjacent cars is very crucial for roadway traffic safety. For different types of drivers or different driving environments, the required safety distance is different. However, most of the existing rear-end collision models do not fully consider the subjective factor such as the driver. Firstly, the factors affecting driving drivers’ characteristics, such as driver age, gender, and driving experience are analyzed. Then, on the basis of this, drivers are classified according to reaction time. Secondly, three main factors affecting driving safety are analyzed by using fuzzy theory, and the new calculation method of the reaction time is obtained. Finally, the improved car-following safety model is established based on different reaction time. The experimental results have shown that our proposed model obtained more accurate vehicle safety distance with varied traffic kinematic conditions (i.e., different traffic states, varied driver types, etc.). The findings can help traffic regulation departments issue early warnings to avoid potential traffic accidents on roads.

scholarly journals Analyzing the Importance of Driver Behavior Criteria Related to Road Safety for Different Driving Cultures

2020 ◽  
Vol 17 (6) ◽  
pp. 1893 ◽  
Author(s):  
Danish Farooq ◽  
Sarbast Moslem ◽  
Rana Faisal Tufail ◽  
Omid Ghorbanzadeh ◽  
Szabolcs Duleba ◽  
...  
Keyword(s):  
Hierarchical Structure ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Driver Behavior ◽  
Analytic Hierarchy ◽  
Safety Issues ◽  
Study Results ◽  
Level 3 ◽  
Hierarchy Process ◽  
Level 2

Driver behavior has been considered as the most critical and uncertain criteria in the study of traffic safety issues. Driver behavior identification and categorization by using the Fuzzy Analytic Hierarchy Process (FAHP) can overcome the uncertainty of driver behavior by capturing the ambiguity of driver thinking style. The main goal of this paper is to examine the significant driver behavior criteria that influence traffic safety for different traffic cultures such as Hungary, Turkey, Pakistan and China. The study utilized the FAHP framework to compare and quantify the driver behavior criteria designed on a three-level hierarchical structure. The FAHP procedure computed the weight factors and ranked the significant driver behavior criteria based on pairwise comparisons (PCs) of driver’s responses on the Driver Behavior Questionnaire (DBQ). The study results observed “violations” as the most significant driver behavior criteria for level 1 by all nominated regions except Hungary. While for level 2, “aggressive violations” is observed as the most significant driver behavior criteria by all regions except Turkey. Moreover, for level 3, Hungary and Turkey drivers evaluated the “drive with alcohol use” as the most significant driver behavior criteria. While Pakistan and China drivers evaluated the “fail to yield pedestrian” as the most significant driver behavior criteria. Finally, Kendall’s agreement test was performed to measure the agreement degree between observed groups for each level in a hierarchical structure. The methodology applied can be easily transferable to other study areas and our results in this study can be helpful for the drivers of each region to focus on highlighted significant driver behavior criteria to reduce fatal and seriously injured traffic accidents.

scholarly journals Cognitive Biases, Risk Perception, and Risky Driving Behaviour

2021 ◽  
Vol 14 (1) ◽  
pp. 77
Author(s):  
Cornelia Măirean ◽  
Grigore M. Havârneanu ◽  
Danijela Barić ◽  
Corneliu Havârneanu
Keyword(s):  
Risk Perception ◽  
Traffic Safety ◽  
Cognitive Biases ◽  
Illusion Of Control ◽  
Future Research ◽  
Risky Behaviour ◽  
Risky Driving ◽  
Optimism Bias ◽  
Driving Behaviour ◽  
The Relationship

This study evaluated the relationship between drivers’ cognitive biases (i.e., optimism bias, illusion of control) and risky driving behaviour. It also investigated the mediational role of risk perception in the relationship between cognitive biases and self-reported risky driving. The sample included 366 drivers (Mage = 39.13, SD = 13.63 years) who completed scales measuring optimism bias, illusion of control, risk perception, and risky driving behaviour, as well as demographic information. The results showed that risky driving behaviour was negatively predicted by optimism bias and positively predicted by the illusion of control. Further, risk perception negatively correlated with risky behaviour and also mediated the relation between both optimism bias and illusion of control with risky driving. The practical implications of these results for traffic safety and future research are discussed.

scholarly journals Study on the influence of skid resistance on traffic safety of highway with a high ratio of bridges and tunnels

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Yongjie Ding ◽  
Danni Li ◽  
Mingxuan Huang ◽  
Xuejuan Cao ◽  
Boming Tang
Keyword(s):  
Correlation Analysis ◽  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Prediction Models ◽  
Back Propagation ◽  
Weather Conditions ◽  
High Ratio ◽  
Skid Resistance ◽  
The Relationship

ABSTRACT The safety of highways with a high ratio of bridges and tunnels is related to multiple factors, for example, the skid resistance of the pavement surface. In this study, the distribution of accidents under different conditions was calculated to investigate the relationship between the road skid resistance and the incidence of traffic accidents based on the traffic accident data of the Yuxiang highway. Statistical results show that weather conditions and road alignment may affect traffic accidents. The correlation analysis method was used to study the relationship between three factors and traffic accidents. The results show that road alignment, weather conditions and road skid resistance are related to the incidence of traffic accidents. The traffic accident prediction models were established based on back propagation neural network to verify the correlation analysis results. It is confirmed that road alignment, weather conditions and road skid resistance are the factors that affect traffic accidents.

scholarly journals Predicting and Interpreting Spatial Accidents through MDLSTM

2021 ◽  
Vol 18 (4) ◽  
pp. 1430
Author(s):  
Tianzheng Xiao ◽  
Huapu Lu ◽  
Jianyu Wang ◽  
Katrina Wang
Keyword(s):  
Land Use ◽  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Short Term Memory ◽  
Great Influence ◽  
Spatial Location ◽  
Linear Relationships ◽  
General Rules ◽  
The Relationship

Predicting and interpreting the spatial location and causes of traffic accidents is one of the current hot topics in traffic safety. This research purposed a multi-dimensional long-short term memory neural network model (MDLSTM) to fit the non-linear relationships between traffic accident characteristics and land use properties, which are further interpreted to form local and general rules. More variables are taken into account as the input land use properties and the output traffic accident characteristics. Five types of traffic accident characteristics are simultaneously predicted with higher accuracy, and three levels of interpretation, including the hidden factor-traffic potential, the potential-determine factors, which varies between grid cells, and the general rules across the whole study area are analyzed. Based on the model, some interesting insights were revealed including the division line in the potential traffic accidents in Shenyang (China). It is also purposed that the relationship between land use and accidents differ from previous researches in the neighboring and regional aspects. Neighboring grids have strong spatial connections so that the relationship of accidents in a continuous area is relatively similar. In a larger region, the spatial location is found to have a great influence on the traffic accident and has a strong directionality.

The Characteristics of Traffic Accident Perpetrators in China and Countermeasure Analysis

2013 ◽  
Vol 409-410 ◽  
pp. 1047-1052
Author(s):  
Jun Jun Zou ◽  
Chuan Jiao Sun
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Human Factor ◽  
Safety Education ◽  
Driving Experience ◽  
Main Factors

In the context of rapid increase in car drivers and all citizens being drivers, the driving experience of traffic accident perpetrators has showed a shorter trend. The driver is an important factor that influences the traffic accident, and the drivers behaviors such as speeding, driving on wrong lane and others are the main factors causing traffic accidents. As for the human factor influencing the traffic safety, it is very important to conduct road safety education and publicity work.

scholarly journals Young Drivers Perceptual Learning Styles Preferences and Traffic Accidents

2011 ◽  
Vol 23 (3) ◽  
pp. 225-233 ◽  
Author(s):  
Svetlana Čičević ◽  
Vladan Tubić ◽  
Milkica Nešić ◽  
Marjana Čubranić-Dobrodolac
Keyword(s):  
Learning Styles ◽  
Perceptual Learning ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Driver Education ◽  
Driving Experience ◽  
Young Drivers ◽  
High Preference ◽  
Self Assessments ◽  
Perceptual Learning Styles

Young drivers are over-represented in crash and fatality statistics. One way of dealing with this problem is to achieve primary prevention through driver education and training. Factors of traffic accidents related to gender, age, driving experience, and self-assessments of safety and their relationship to perceptual learning styles (LS) preferences have been analyzed in this study. The results show that auditory is the most prominent LS. Drivers in general, as well as drivers without traffic accidents favour visual and tactile LS. Both inexperienced and highly experienced drivers show relatively high preference of kinaesthetic style. Yet, taking into account driving experience we could see that the role of kinaesthetic LS is reduced, since individual LS has become more important. Based on the results of this study it can be concluded that a multivariate and multistage approach to driver education, taking into account differences in LS preferences, would be highly beneficial for traffic safety.

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