Driver Behaviour Questionnaire Research Articles

Road traffic accidents involvement among commercial taxi drivers in Nigeria: Structural equation modelling approach

Taxis are essential to economic growth due to the ease and comfort they offer passengers. This is evident as most cities, especially in Africa, are dominated by taxis providing door-to-door services. However, their susceptibility to road traffic accidents (RTA) raises serious concerns due to their risky driving behaviours. In contrast, studies on taxi driver involvement in RTA due to their risky driving behaviours are sparse, especially in African countries. Consequently, the study examined the relationship between risky driving behaviour and traffic accident involvement among Nigerian commercial taxi drivers using the structural equation modeling (SEM) approach. Prior to the structural model analysis, the modified driver behaviour questionnaire (DBQ) was valid. This was assessed through the measurement model, and the results showed that the composite reliability, average variance extracted, and discriminant validity were greater than 0.7, greater than 0.5, and less than 0.90, respectively. Furthermore, the structural equation modeling results show that the driving violation and driving error constructs influenced road traffic accidents among taxi drivers, while inattention error was insignificant (p > 0.05). Although driving violations and errors significantly increase the chances of RTA among taxi drivers, driving violations had a more substantial influence than driving errors. Also, the regression coefficient indicates the risky driving behaviour of commercial taxi drivers accounts for 5.2 % of the RTAs in Nigeria. This research contributed to validating the DBQ for commercial taxi drivers in Nigeria, examining the influence of their driving violations, driving errors, and inattention errors on accident involvement and that inattention error may not necessarily influence accidents, which will aid policymakers in formulating mitigative strategies for RTA reductions. Moreso, it will guide driver trainers in curriculum development for specific commercial taxi driver training.

Are early maladaptive schemas related to current driver behaviors? A study on previous toxic experiences and driving

IntroductionRealizing the importance of driver behaviors in the context of road traffic safety, researchers investigated the factors that relate to driver behaviors. One of the most examined factors predicting driver behaviors is personality. In addition to personality characteristics, early maladaptive schemas (EMS) play a critical role in the way the individual thinks, feels, acts, and relates to others, which leads them to display the maladaptive behaviors to recreate the harmful conditions experienced in childhood. EMS are found to be associated with behavioral problems such as illicit drug use, aggressive and illegal behaviors, heavy alcohol use, risky sexual behaviors, violence towards parents and partners. The current work aims to examine the relationship between early maladaptive schemas and driver behaviors in traffic context after controlling the role of personality. MethodOf the 294 participants, 141 were males, 151 were females, and 2 did not specify sex. Age range was 18–67 (M = 27.2, SD = 10.5). Participants filled out an online survey battery including a demographic information form, the Basic Personality Traits Inventory, the Dirty Dozen, the Young Schema Questionnaire 3 Short Form, and the Driver Behavior Questionnaire. ResultsAccording to the results of the correlation analysis, schema domains showed significant relationships with the driver behavior subscales for 17 out of 25 coefficients. Hierarchical regression analyses suggested that impaired autonomy was positively associated with errors and lapses, while it was negatively associated with positive behaviors. This relationship was found when demographic and personality variables were accounted for. ConclusionThe current study is the first to exclusively investigate the relationship between EMS and driver behaviors. Relationship between impaired autonomy on one hand and errors and lapses on the other point out to the role of affective and cognitive processes that play a role in driving.

Indonesian version of the motorcycle rider behaviour questionnaire: cross-cultural adaptation and validation

The study revealed that safety behaviour played a significant role in traffic accidents. One of the primary concerns pertains to the implementation of driving safety practices and the associated risks they pose on the roadways. Numerous studies have been conducted in various countries to investigate the negative consequences of safety behaviour on both victims and nations. These studies have employed the motorcycle rider behaviour questionnaire (MRBQ), a widely utilized instrument to evaluate and mitigate the prevalence of hazardous behavior in road driving scenarios. Nevertheless, the validity of this method has not been established in the Indonesian setting. The present study aimed to assess the reliability and construct validity of the Indonesian adaptation of the MRBQ. The study recruited a cohort of 37 students representing a diverse range of academic disciplines from 12 distinct universities. The study's findings revealed that the validity values obtained varied between a minimum of <0.001 and a maximum of 0.987. Additionally, the reliability of the 27 items was assessed using Cronbach's alpha coefficient, which yielded a value of 0.742. The present study confirms the reliability of the Indonesian version of the MRBQ, as well as the acceptability of its construct validity, which exceeds the threshold of 0.70. Therefore, this tool can be valuable for evaluating driving safety behaviour.

Validating self-reported driving behaviours as determinants of real-world driving speeds

Self-reported driver behaviour has long been a tool used by road safety researchers to classify drivers and to evaluate the impact of interventions yet the relationship with real-world driving is challenging to validate due to the need for extensive, detailed observations of normal driving. This study examines this association by applying the large UDRIVE naturalistic driving study data involving 96 car drivers, comprising 131,462 trips and 1,459,110 km travelled over a duration of 32,096 hours, to compare individual questions and composite indicators based on the Driver Behaviour Questionnaire with real world driving. Self-reported speed behaviour was compared to the measured values under urban and highway conditions. Generalised Linear Mixed Models were developed to examine the relationships between the observed speed behaviours with DBQ errors and violations scores in conjunction with traffic and environmental factors. Drivers’ self-reported data on speed selection seldom aligned with their real-world behaviour and there were no meaningful differences between many of the response categories. The DBQ violations and errors scales showed a highly significant correlation with driving speed indicators however they had a low explanatory power compared to other traffic situational and driving factors. Overall, the study highlights the need to validate self-reported driving data against the accuracy and relevance to real-world driving.

Investigating the Relationship Between Mood and Driver Behaviors

Abstract: Introduction: Mood and emotion variously affect our behaviors. The present study examined the relationship between positive and negative affect and driver behaviors as well as the mediating role of perceived stress and driving anger. Method: A total of 369 drivers (age: M = 35.52, SD = 10.61) participated in the study by completing the Positive and Negative Affect Schedule, the Perceived Stress Scale, the Driver Anger Scale, the Driver Behaviour Questionnaire, and the Positive Driver Behaviour Scale. Results: Six serial mediation analyses revealed multiple mediations explaining violations the most and positive behaviors the least. Both positive and negative affects were associated with greater anger, leading to more violations. Moreover, positive affect was negative and negative affect was positively related to perceived stress, which in turn was related to increased violations. For positive behaviors, positive affect was associated with less perceived stress, which was associated with more positive behaviors. Conclusion: Moods and emotions reveal a tendency to behave in ways that can be dangerous to drivers and other road users. The study was particularly important because it was the first in the literature to examine positive and negative affect on driver behaviors, perceived stress, and driving anger.

An investigation of relationships between aberrant driving behavior and crash risk among long-haul truck drivers traveling across India: A Structural Equation Modeling approach

IntroductionRoad Traffic Crashes (RTC) are showing an increasing trend around the world. Empirical evidence suggests that the majority of the crashes are attributed to unsafe or dangerous driving behaviors among drivers. However, little is known about the crash risk among professional drivers such as Long-Haul Truck Drivers (LHTDs) considering aberrant driving behaviors in developing countries like India. Objectives: This study aims to investigate the direct effects of characteristics of LHTDs including socio-demographic, work and vehicle, health-related lifestyle on crash risk. This study also attempts to investigate the indirect impacts of socio-demographic characteristics on crash involvement among LHTDs mediated through aberrant driving behaviors. MethodsUsing cross sectional study design, face-to-face interviews were conducted among LHTDs in Salem city, Tamil Nadu, India. A Driver Behavior Questionnaire (DBQ) consisting of 23 items was utilized to measure aberrant driving behaviors among LHTDs and information related to background variables was also collected. A total of 756 valid samples were used for analysis purpose. Exploratory factor analysis confirmed a four-factor solution including errors, lapses, ordinary, and aggressive violations and the identified structure was validated using confirmatory factor analysis. The deployment of Structural Equation Model (SEM) enabled identification of interrelationships among identified latent and observed variables. Results: The developed SEM model showed that all the identified four latent constructs were positively associated with crash involvement among LHTDs. The results further revealed that age and marital status were found to exhibit an indirect impact on crash involvement in addition to direct effects. ConclusionThe findings from this study could serve road safety authorities and Indian trucking industries to target risky driving behaviors in order to develop engineering and interventional countermeasures.

Cross-Cultural Behaviors: A Comparative Analysis of Driving Behaviors in Pakistan and China

When analyzing road safety across cultural boundaries, driver behavior is a crucial component to consider. Given that driver behavior directly affects both the likelihood of accidents and the severity of their implications, it is crucial to comprehend and analyze it. The present study examined the differences in dangerous, aberrant, and positive driving behaviors across China and Pakistan. The effects of these behaviors on road traffic accidents were also considered. In the study, 1253 respondents completed a questionnaire package consisting of the Dula Dangerous Driving Index (DDDI), Aberrant Driving Behavior Questionnaire (DBQ), Positive Driving Behavior Scale (PDBS), and items related to demographics. Generalized linear models were utilized to compare and determine the factors responsible for dangerous driving behaviors. Mean scores for DBQ and PDBS items were compared. Finally, binary logistic regression models were used to find the factors responsible for traffic accidents across both countries. The results indicated that aggressive and risky driving predicted traffic accidents in both countries, followed by errors and violations, which also predicted traffic accidents significantly. Positive driving behaviors predicted accidents negatively in both samples. Furthermore, it was found that Chinese drivers compared to Pakistani drivers are less aggressive and risk-taking and commit fewer violations and errors while driving. To increase road safety in Pakistan, traffic laws must be strictly enforced uniformly, and violations must result in severe penalties, i.e., demerit points or cancellation of a driver’s license. Programs for road safety awareness and education must be expanded. Employing national culturally concentrated road safety strategies may be a more effective way to encourage safe driving behaviors.

Cultural implications on driver behaviour and road safety: insights from Kano State, Nigeria

This study investigates the cultural implications of driver behaviour and its impact on road safety through the lens of Driver Behaviour Questionnaire (DBQ). The survey includes 741 drivers aged 18 and above from Kano State, Nigeria. Our analysis identifies a three-factor model: Violations, Errors, and Aggressive Violations. The study compares these findings with two others from different regions and state in Nigeria, revealing significant differences in driver behaviour, thereby highlighting the influence of cultural factors. Our analysis finds significant correlations between driver demographics and risky behaviours, with older drivers showing a higher risk of crashes. This indicates the importance of tailored road safety measures for different demographics. Efforts to curb risky behaviours encompass a multi-faceted approach. Improvements in road infrastructure, including lane expansion and pedestrian-friendly designs, foster safety while discouraging violations. Addressing factors like hawking and trading on roads is paramount to maintain driver focus. Furthermore, investment in comprehensive driver education, awareness campaigns, and advanced training programs is vital to reduce errors and aggressive driving behaviours. Recognising the cultural differences that influence driver behaviour in Nigeria is vital for creating a safer and more respectful traffic environment. Interventions tailored to specific cultural contexts are likely to be more effective than one-size-fits-all approaches. In conclusion, this study advocates for a holistic approach, integrating law enforcement, infrastructure enhancements, and driver education campaigns, to mitigate risky behaviours among drivers and enhance road safety.

Advancing a revised UB-DBQ: A new insight into driver behaviour and older passenger injuries in urban buses

IntroductionOlder individuals in China face a heightened risk of injuries on urban buses. While the Driving Behaviour Questionnaire (DBQ) effectively gauges drivers' behaviours and predicts injury involvement, the link between aberrant driving and older passenger injuries among urban bus drivers remains underexplored. This study refines the UB-DBQ for urban bus drivers, probing its association with older passenger injuries. MethodsThe Urban Bus Driving Behaviour Questionnaire (UB-DBQ) was adapted, incorporating unique aspects of urban bus driving. An online survey, based on this revised UB-DBQ, was administered to 710 Chinese urban bus drivers in August 2022. Using principal component factor analysis and oblique rotation-promax, a four-factor UB-DBQ emerged. Correlation and difference tests analysed the relationship between driving behaviours and older passenger injury incidents. ResultsThe four-factor UB-DBQ offers a robust fit for Chinese urban bus drivers. Analysis revealed a prevalence of positive driving behaviours, offset by fewer aberrant actions, including aggression, errors, and violations. Notably, higher numbers of older passengers heightened aggressive and erroneous driving behaviours. A notable trend emerged: drivers largely attributed injuries to older passengers, a sentiment growing with more older passengers aboard. Crucially, driver self-assurance in safety and aggressive behaviour were key predictors of injuries involving older adult passengers. ConclusionsThe revised UB-DBQ serves as an effective tool for assessing urban bus driver behaviour and older passenger injury incidents in China. These insights emphasize the need for tailored driver training and risk strategies in line with the unique demands of urban bus driving in China. The UB-DBQ holds potential for shaping more precise and effective transport safety policies.

An Integrated Approach to the Spanish Driving Behavior Questionnaire (SDBQ) in the City of Cuenca, Ecuador

Traffic collisions are the seventh leading cause of death in Ecuador, with reckless driving being one of the main causes. Although there are statistical data on traffic crashes, there has not yet been a comprehensive investigation of the causes. Therefore, the main objective of this study is to investigate unsafe driving behavior using a modified version of the Spanish Driving Behavior Questionnaire (SDBQ) adapted for Ecuador. The 34-item SDBQ we used has four main dimensions: lapses, errors, violations, and aggressive driving. To apply the SDBQ, a stratified random probability sample of 470 drivers with valid driver’s licenses aged 18–69 was used. Of the drivers, 68.8% were male, while 33.2% were female. We used a chi-square test and descriptive statistics to analyze the data for the SDBQ application items. Finally, four generalized linear Poisson models were used. The results show that taxi drivers have the highest scores on three of the four main dimensions of the SDBQ and male drivers are more likely than female drivers to cause traffic accidents. Drivers are also more likely to cause traffic accidents if they drive more hours per day. This research is the first of its kind to analyze driver behavior-based solutions in Ecuador to reduce traffic accidents. The error factor is the most critical outcome of dangerous behavior in the city of Cuenca. The SDBQ aims to foster a culture of safety and sustainability by promoting road safety measures through legislation and traffic regulations.

Exploring the association between the Arabic version of the Traffic Locus of Control, driving behavior, and road traffic crashes: A multidimensional approach.

The Traffic Locus of Control scale (T-LOC) serves as a measure of drivers' personality attributes, providing insights into their perceptions of potential causes of road traffic crashes (RTCs). This study meticulously evaluated the psychometric properties of the Arabic version of T-LOC (T-LOC-A) among Lebanese drivers. Additionally, the study aimed to explore associations between the T-LOC scale and various driving variables, including driver behavior, accident involvement, and traffic offenses. A cross-sectional study was conducted among Lebanese drivers using a face-to-face approach. The validation of the Arabic version of T-LOC (T-LOC-A) occurred through a two-stage process: translating and culturally adapting T-LOC in the first stage, and testing its psychometric properties in the second stage. Data were collected using a comprehensive self-reported questionnaire in Arabic, covering demographic and travel-related variables, risk involvement, and measures such as the Driver Behavior Questionnaire (DBQ) and T-LOC. Exploratory factor analysis and confirmatory factor analysis were performed to scrutinize the factorial structure of T-LOC. Pearson correlation and chi-square tests were used for continuous and categorical variables, respectively. Two logistic regression analyses were executed to probe associations between T-LOC and involvement in road traffic crashes (RTCs) and T-LOC subscales with the occurrence of traffic offenses. The study included 568 drivers, predominantly male (69%) and aged between 30 and 49 years (42.1%). The findings revealed that T-LOC-A exhibited robust psychometric properties, with excellent reliabilities (α = 0.85) and adherence to the original four-factor structure, encompassing self (α = 0.88), other drivers (α = 0.91), vehicle/environment (α = 0.86), and fate (α = 0.66). The multidimensional structure was statistically supported by favorable fit indices. Gender differences revealed men attributing responsibility to other drivers, while women leaned towards fate and luck beliefs. Regarding driver behavior, the "other drivers" and self-dimensions of T-LOC-A correlated positively with aggressive violations. The fate dimension showed positive associations with aggressive violations and lapses. The "other drivers" subscale correlated positively with errors, and the vehicle/environment subscale with lapses. External T-LOC factors were positively associated with accident involvement, while the "LOC self" factor emerged as a protective element. In terms of traffic offenses, "LOC fate" displayed a positive association, while the "LOC self" factor showed a protective effect. In conclusion, the Arabic T-LOC is a reliable and valuable instrument, suggesting potential improvements in driving safety by addressing drivers' locus of control perceptions.

Assessment of Risky Riding Behaviors Using the Motorcycle Rider Behavior Questionnaire (MRBQ) among University Students

Assessment of Risky Riding Behaviors Using the Motorcycle Rider Behavior Questionnaire (MRBQ) among University Students

How are sociodemographic differences contributing to red light violation behavior? the underlying role of gender, age, driving experience, and income

ABSTRACT This paper presents the results of the first driver behavior questionnaire (DBQ) study on analyzing Indian drivers’ aberrant behavior for red light violations (RLVs) at signalized junctions. An ordered probit model is developed using the drivers’ socio-demographic variables. The model results indicate that age has the strongest influence on drivers’ RLV behavior, followed by driving experience and level of education. The level of perceived RLV appears to increase with higher driving frequency and two-wheeler ownership. This research is also the first to analyze the aberrant behavior differences among male and female drivers concerning their demographics and driving experiences. It is unique to note that at a certain combination of various demographics (e.g., driving experience, education level, and daily trip frequency), the men and women are becoming equal in their aberrant behavior while committing RLVs. This finding is an interesting input for developing driver training and education programs.

Development and validation of automated driving behavior questionnaire (ADBQ)

The Driver Behavior Questionnaire (DBQ), which is rooted in Human Factors, is a common tool used in the context of driving behavior. However, it does not consider driver behavior when automated-driving systems are active. The primary objective of this study is to construct a questionnaire with high levels of reliability to assess the driving behavior of automated-vehicle (AV) users. This paper presents the development and validation process of a 16-item automated driving behavior questionnaire, composed of three factors of the driving process (perception, cognition, and action) and two factors of automated driving systems (user literacy and dependency). Responses from 441 active AV users were collected and analyzed. The application of factor analysis resulted in the identification of a five-factor solution, and the results showed that male drivers exhibited higher levels of literacy, action, and reliance on AVs than female drivers. In terms of trust, those with complete trust reported higher AV dependency, whereas those with low trust reported lower AV dependency and higher cognitive scores. Addressing gender- and trust-based disparities is crucial for traffic safety, especially among male and less-trusting drivers. The developed ADBQ will serve as a supporting tool for system developers and researchers to assess the driving behaviors of AV users.

From self-reports to observations: Unraveling digital billboard influence on drivers

The objective of this current study was to evaluate the impact of digital billboards (DBs) on self-reported and observed driving behavior, given their established association with distracted driving. This investigation focused on driver behavior in Iran using a dual-pronged approach. Initially, self-reported driving behavior was analyzed using a Driving Behavior Questionnaire (DBQ), which was completed online by 453 drivers. The factor analysis of the questionnaire data emphasized the significant role of DBs in generating driving errors, lapses, unintentional violations, and intentional violations. The DBQ questions exhibited a clear factor structure, demonstrating high factor loadings and satisfactory internal stability. The findings indicated that advertising signages notably influenced drivers' behavior, particularly in instances of neglecting the behavior of the leading vehicle's driver (Lapse), disregarding pedestrian crossings (Error), disregarding red lights (Intentional violation), and overtaking without considering traffic flow behind (Unintentional violation). Subsequently, participants engaged in an Instrumented Vehicle Study (IVS) to explore observed driver behavior when encountering DBs (899 samples). Four factors were identified as significantly influencing the likelihood of driver distraction: the driver's crash history, time of day, driver's age, and road type. A logistic regression analysis was conducted using the IVS data, revealing that drivers with prior crash experience approached DBs with 8.8 times more caution than those without such a history. Moreover, young adults were 8.25 times more susceptible to distraction from DBs compared to their older counterparts. Notably, the findings suggested that drivers were nearly four times more prone to distraction at night compared to daytime. Additionally, drivers were twice as likely to be distracted at intersections compared to other road types. The outcomes of this study can offer insights for policy interventions regarding the content and placement of DBs, aiming to minimize their impact on road safety while still enabling advertisers to target their intended audience.

Self-reported cycling behavior and previous history of traffic accidents of cyclists

BackgroundCyclists are vulnerable traffic users and studying the cycling behavior of professional and elite cyclists, their previous history of traffic accidents combined with the current knowledge on high-risk behaviors of this group can be a useful basis for further studies on ordinary cyclists. This study aimed to determine the relationship between cycling behavior and the previous history of traffic accidents among members of the Cycling Federation of Guilan province in 2022.MethodsA descriptive-analytical study was performed in which the Bicycle Rider Behavior Questionnaire (BRBQ) constructed in the Porsline platform was distributed using the WhatsApp social network. All participants were asked to self-report their cycling behavior. The final analysis was performed by using STATA software (version 14).ResultsThe study subjects included a total of 109 cyclists with a mean age of 38.62 ± 10.94 years and a mean cycling experience of 13.75 ± 11.08 years. Using the logistic regression model, the relationship between gender (P = 0.039), years of cycling experience (P = 0.000), and education level (P ≤ 0.00), with previous traffic accidents, was found significant. There was also a significant relationship between stunts and distractions (P = 0.005), signaling violation (P = 0.000), and control error (P = 0.011) with previous traffic accidents. A significant association existed between stunts and distractions (P = 0.001) and signaling violation (P = 0.001) with a previous history of traffic injury within the last 3 years.ConclusionsThe findings of this study can be used to establish cyclist safety and preventative planning in society. In behavior change intervention programs, it is best to target male cyclists with higher-level education. In addition, the behavior of the cyclists whose predominant term of signaling violations must be corrected should be targeted. It is necessary to shape information campaigns and educational programs aimed for cyclists with common high-risk behaviors, especially signaling violations.

Influence of commercial drivers’ risky behavior on accident involvement: moderating effect of positive driving behavior

The influence of risky driving behavior on road traffic accidents (RTAs) is a relationship that requires draconian measures to curtail the rising surge of road traffic accidents among commercial drivers. Any attempt to ignore this will result in continuous loss of lives and properties, thus weakening the global economy, especially in developing countries. The risky driving behaviors of commercial drivers (truck and taxi drivers) in Nigeria require a panacea due to their contribution to RTAs. The study examines the moderating effect of positive driving behavior on commercial truck and taxi drivers’ risky driving behavior and accident involvement relationship. A total of 1823 commercial vehicle drivers (943 taxi drivers and 880 truck drivers) completed the driver behavior questionnaire (DBQ), while the structural equation modeling (SEM) method was used for the analysis. The results indicated a significant moderating effect of positive driving behavior on the risky driving behavior and accident involvement relationship for both commercial truck and taxi drivers in Nigeria. Specifically, the truck drivers had a positive moderating effect, resulting in a decrease in RTAs with an increase in positive driving behavior. In contrast, the taxi drivers had a negative moderating effect. The results suggest that increasing positive driving behavior among truck drivers will enhance their safety, while taxi drivers will need more assessment to identify other risky behaviors that could expose them to more RTAs despite the positive driving behavior. This study will aid decision makers, transport trainers, and driver employers in knowing the importance of enforcing and promoting positive driving behaviors among drivers and include it in driving policy and driver training curricula towards RTA reduction.

Behind the wheel: Probing into personality, skills, and driving behavior’s role in bus rapid transit crashes

Objective Personality traits and driving skills are significantly associated with driving behaviors and crashes. In the case of professional bus drivers, the relationships amongst these variables have not been sufficiently examined in terms of road crashes. Therefore, this study seeks to examine the relationship between personality traits, driving skills, driving behaviors, and crash involvement among Bus Rapid Transit (BRT) drivers. Methods The study employed a comprehensive data collection strategy involving self-reported questionnaires, including the driver behavior questionnaire, driver skill inventory, and Big Five inventory, alongside Global Positioning System (GPS)-extracted speeding data from a sample of 166 drivers. To explore the relationship between variables, the study utilized the Partial Least Squares Structural Equation Model (PLS-SEM) as the analytical method. Result The findings reveal that self-reported violations and actual speeding performed by drivers were positively associated with crash involvement, whereas positive driving behavior negatively influences violation, errors, speeding and crash involvement. The study also found that the safety skills were negatively associated with violations, errors, and speeding, while higher perceptual-motor skills were associated with higher instances of speeding violations, resulting to a higher possibility of getting involved in a crash. Finally, the study reveals that certain personality traits (extraversion and neuroticism) were positively associated with violations, errors, and speeding, leading to a higher risk of getting involved in crashes, whereas certain personality traits (conscientiousness and agreeableness) were associated with safe driving. Conclusion The study findings offer valuable insights into the predictors of crashes among professional BRT drivers, which can be used to enhance driving practices, ensuring the safety of the public. Moreover, these findings provide transportation agencies with better management and decision-making capabilities to implement effective interventions to improve road safety.

Assessing the Self-Report Instruments of Younger Versus Older Riders Involved in Near-Miss Motorcycle Incidents

Road accidents pose severe and pervasive consequences, especially in low- and middle-income countries (LMICs), where both the population and fatal accidents among youth and the elderly are steadily increasing. Therefore, this study aims to develop a model for risky behavior in near-miss incidents among motorcycle riders in Thailand. It intends to compare models between younger and older riders utilizing structural equation modeling (SEM) with a multi-group approach. The data were examined employing modified instruments derived from the Motorcycle Rider Behavior Questionnaire (MRBQ). Samples depicting risky riding behavior were obtained from both younger and older rider groups. Parameter invariance testing revealed differences between the two groups. Control errors notably emerged as the predominant factor contributing to near-miss incidents for both age groups. Speeding was identified as the primary concern for the younger group, while adverse weather conditions were deemed crucial for the older group. Based on this study, policy recommendations endorse the creation of targeted training programs for novice riders, emphasizing adherence to legal speed limits and the adoption of safe riding practices. Additionally, the study underscores the importance of preparing riders, especially those in the older age group, for adverse weather conditions. Doi: 10.28991/CEJ-2024-010-02-019 Full Text: PDF

Exploring the relationship between traffic resilience and driver behaviors through traffic climate

Traffic safety culture and climate have emerged as an integral part of road safety policy and practice in recent decades, resulting in an emphasis on a holistic approach to road safety through systems thinking. The aim of this study was to investigate the relationship between drivers' perceptions of traffic resilience and traffic climate and their impact on driver behaviors. A total of 216 drivers aged between 19 and 32 years completed an online questionnaire consisting of the Traffic Resilience Scale (TRS), the Traffic Climate Scale (TCS), the Driver Behavior Questionnaire (DBQ), and the Positive Driver Behaviors Scale (PDBS). Serial mediation analyses were conducted to examine the objectives of the study. The results showed that drivers who perceived the traffic system as more resilient tended to perceive the traffic system as more functional and less externally demanding. The drivers' perceptions of traffic resilience were found to be directly related to the traffic climate and indirectly related to the driver behaviors through external affective demands and internal requirements. Increased traffic resilience was associated with increased aberrant behaviors and decreased positive behaviors through reduced external affective demands and internal requirements. These findings can be considered to make a unique contribution to the literature in understanding the motivations behind aberrant behaviors of drivers and highlight the need for road safety policies to take into account road users' perceptions of traffic resilience and traffic climate in order to better understand, predict, and modify road user behaviors for a safer traffic system.