The relative impact of work-related stress, life stress and driving environment stress on driving outcomes

The relationship between perceived stress and emotional eating in bus drivers: the effect of shift work

This study discusses the relationship between perceived stress and emotional eating based on shiftwork in city bus drivers. It was conducted with 1403 male city bus drivers working in Istanbul. Questions about the drivers' physical activity and dietary habits, the Healthy Diet Index (HDI), Emotional Appetite Questionnaire and Perceived Stress Scale-10 data were collected and evaluated in two groups: shift and non-shift employees. It was found that the shift workers (SWs) have lower perceived stress, physical activity, HDI and positive emotional appetite averages. In addition, for SWs, a positive correlation was found between negative emotional appetite scores and physical activity and HDI scores. In conclusion, the drivers working in shifts were found to be slightly overweight and had lower physical activity levels, had lower HDI scores, and their nutritional status was more negatively impacted than their counterparts.

Road to serenity: Individual variations in the efficacy of unobtrusive respiratory guidance for driving stress regulation

Stress impacts driving-related cognitive functions like attention and decision-making, and may arise in automated vehicles due to non-driving tasks. Unobtrusive relaxation techniques are needed to regulate stress without distracting from driving. Tactile wearables have shown efficacy in stress regulation through respiratory guidance, but individual variations may affect their efficacy. This study assessed slow-breathing tactile guidance under different stress levels on 85 participants. Physiological, behavioral and subjective data were collected. The influence of individual variations (e.g., driving habits and behavior, personality) using logistic regression analysis was explored. Participants could follow the guidance and adjust breathing while driving, but subjective efficacy depended on individual variations linked to different efficiency in using the technique, in relation with its attentional cost. An influence of factors linked to the evaluation of context criticality was also found. The results suggest that considering individual and contextual variations is crucial in designing and using such techniques in demanding driving contexts. In this line some design recommendations and insights for further studies are provided.

Analysis of coping capacities and cognitive biases of novice drivers-A questionnaire-based study

Coping capacity is a key aspect of driver-vehicle interaction when drivers observe and make decisions, and is of great importance for drivers. However, different drivers have different self-cognition and assess their driving abilities differently, especially for novice drivers. Based on questionnaire data, this study has investigated the coping capacities of drivers in both static environments and dynamic environments. With the ANOVA analysis method and the structural equation model (SEM), this study has verified the effects of gender and driving factors (driving years, driving frequency, driving time) on drivers' coping capacities based on drivers' self-assessment scores and mutual assessment scores. Drivers' self-assessment scores show significant effects of all factors on drivers' coping capacities, and drivers' mutual assessment scores show significant effects of all factors, excluding driving time, on drivers' coping capacities. Also, it has been found that all drivers in the driving year group have cognitive biases. It seems that first-year drivers are always overconfident with their driving skills, while drivers with a driving experience of more than three years usually score driving skills of themselves and other drivers most conservatively. With increased exposure to various traffic conditions, experienced drivers are more aware of their limitations in dealing with complex traffic situations, while novice drivers do not know their lack of capability to properly respond to any unexpected situation they could encounter.

Evaluation of driver stress intervention with guided breathing and positive comments

While many methods have been proposed to detect driver stress with high accuracy, few studies have explored how to mitigate stress during driving effectively. This study proposed and evaluated two driver stress intervention methods, i.e., auditory Positive Comments w/o haptic Breathing guidance (BPC and PC). Sixty drivers were randomly assigned to four groups (i.e., no stress, stressful but no intervention-NI, PC, and BPC) and completed a simulated driving task with their physiological, psychological, and behavioral data collected. Driver stress was effectively induced by challenging simulated driving events. Haptic guidance provided by smartwatches efficiently regulated the breathing rate to the target. Engaging in the intervention was associated with increased RMSSD and did not worsen driving performance. Participants perceived moderate to large comfort effects. The complexity of driving scenarios should be considered for choosing interventions. Breathing intervention was less effective when complex maneuvers were required than normal driving. The findings provided implications regarding the design of in-vehicle stress intervention systems for intelligent transportation.

Understanding key behavioral factors affecting road traffic citation and crash involvement of professional bus and passenger van drivers using a modified driver behavior questionnaire: an Indian perspective

A customized 27-item driver behavior questionnaire (DBQ) for professional long-distance bus and passenger van drivers in Bihar, India was tested separately and the underlying factor structures identified. In total, 156 bus and 149 passenger van drivers were surveyed and their self-reported aberrations, measured using the DBQ, were recorded along with their self-reported traffic citation and crash involvement in the past 3 years. A 21-item seven-factor DBQ and a 19-item five-factor DBQ were obtained for bus and passenger van drivers respectively through exploratory and confirmatory factor analysis. Structural equation modeling was used to find relations between DBQ factors and drivers' number of crashes and traffic citations involvements. Only speed issues could significantly explain traffic citation involvement but no factor could significantly explain crash involvement for bus drivers. For passenger van drivers, only aggressive violations could explain traffic citation involvement while unmindfulness, aggressive violations and errors could explain crash involvement.

Applying a Health Equity Lens to Work-Related Motor Vehicle Safety in the United States

Motor vehicle crashes (MVCs) are the leading cause of fatal work-related injuries in the United States. Research assessing sociodemographic risk disparities for work-related MVCs is limited, yet structural and systemic inequities at work and during commutes likely contribute to disproportionate MVC risk. This paper summarizes the literature on risk disparities for work-related MVCs by sociodemographic and employment characteristics and identifies worker populations that have been largely excluded from previous research. The social-ecological model is used as a framework to identify potential causes of disparities at five levels-individual, interpersonal, organizational, community, and public policy. Expanded data collection and analyses of work-related MVCs are needed to understand and reduce disparities for pedestrian workers, workers from historically marginalized communities, workers with overlapping vulnerabilities, and workers not adequately covered by employer policies and safety regulations. In addition, there is a need for more data on commuting-related MVCs in the United States. Inadequate access to transportation, which disproportionately affects marginalized populations, may make travel to and from work less safe and limit individuals' access to employment. Identifying and remedying inequities in work-related MVCs, whether during the day or while commuting, will require the efforts of industry and multiple public sectors, including public health, transportation, and labor.

Fatigue and Secondary Media Impacts in the Automated Vehicle: A Multidimensional State Perspective

Safety researchers increasingly recognize the impacts of task-induced fatigue on vehicle driving behavior. The current study (N = 180) explored the use of a multidimensional fatigue measure, the Driver Fatigue Questionnaire (DFQ), to test the impacts of vehicle automation, secondary media use, and driver personality on fatigue states and performance in a driving simulator. Secondary media included a trivia game and a cellphone conversation. Simulated driving induced large-magnitude fatigue states in participants, including tiredness, confusion, coping through self-comforting, and muscular symptoms. Consistent with previous laboratory and field studies, dispositional fatigue proneness predicted increases in state fatigue during the drive, especially tiredness, irrespective of automation level and secondary media. Similar to previous studies, automation slowed braking response to the emergency event following takeover but did not affect fatigue. Secondary media use relieved subjective fatigue and improved lateral control but did not affect emergency braking. Confusion was, surprisingly, associated with faster braking, and tiredness was associated with impaired control of lateral position of the vehicle. These associations were not moderated by the experimental factors. Overall, data support the use of multidimensional assessments of both fatigue symptoms and information-processing components for evaluating safety impacts of interventions for fatigue.

The effect of COVID-19 on self-reported safety incidents in aviation: An examination of the heterogeneous effects using causal machine learning

INTRODUCTION

Disruptions to aviation operations occur daily on a micro-level with negligible impacts beyond the inconvenience of rebooking and changing aircrew schedules. The unprecedented disruption in global aviation due to COVID-19 highlighted a need to evaluate emergent safety issues rapidly.

METHOD

This paper uses causal machine learning to examine the heterogeneous effects of COVID-19 on reported aircraft incursions/excursions. The analysis utilized self report data from NASA Aviation Safety Reporting System collected from 2018 to 2020. The report attributes include self identified group characteristics and expert categorization of factors and outcomes. The analysis identified attributes and subgroup characteristics that were most sensitive to COVID-19 in inducing incursions/excursions. The method included the generalized random forest and difference-in-difference techniques to explore causal effects.

RESULTS

The analysis indicates first officers are more prone to experiencing incursion/excursion events during the pandemic. In addition, events categorized with the human factors confusion, distraction, and the causal factor fatigue increased incursion/excursion events.

PRACTICAL APPLICATIONS

Understanding the attributes associated with the likelihood of incursion/excursion events provides policymakers and aviation organizations insights to improve prevention mechanisms for future pandemics or extended periods of reduced aviation operations.

The self-reported stress and stressors in tram and long-haul truck drivers

Work stress may compromise professional drivers' health and driving capacity. Differences between driver groups in terms of on-duty stress are understudied. Therefore, we examined self-reported stress (Stockholm University Stress Scale) of shift-working tram and long-haul truck drivers (n = 75) across 2-3 weeks. Furthermore, stressors were self-reported retrospectively and categorised as related to the job, driving conditions, personal, or other causes. Stress levels were generally low, but moderate to high stress (≥6) was more frequently reported among the tram drivers. Stressors related to the job (54%) and driving conditions (19% of all shifts) were frequently reported among the tram and truck drivers, respectively. Moderate to high stress was associated with categorised stressors related to the job and other causes among the tram drivers, and all categorised stressors among the truck drivers. Altogether, self-reported stress and stressors differ by driver group, but the role of shift type is less significant.

Theory of planned behaviour, psychological stressors and intention to avoid violating traffic rules: A Multi-Level modelling analysis

This study applies a multilevel model approach to test the predictive effect of the theory of planned behaviour (TPB) plus moral norm, past behaviour and crash history to account for intentions to avoid traffic violations within the context of commuting to or from work. This study also extended the theory by adding psychological stressors of perceived stress and work-family conflict. In this study, we systematically tested the direct and mediated models. A sample of Malaysian drivers (N = 482; 44.6% were men and 55.4% women), with the average age of 36.7 years (SD = 10.0) was surveyed. The self-report questionnaire contained multiple observations nested within individual drivers, with respect to 3 different driving violations. As predicted, multi-level modelling showed that within-person predictor variables of all the TPB components emerged as independent predictors, with injunctive norm being the most predictive variable, followed by self-efficacy and cognitive attitude. Intention was also predicted by moral norms and crash history. Between-person variables, gender, commuting hours and work-family conflict also had direct influences on intention (i.e., men and those with longer commuting hours and higher work-family conflict reported lower intentions). Substantial support for the mediation model was found, confirming that stressors indirectly influence intentions through effects on the social cognitive components. The implications of the linkage between the social cognition and stressors for developing potential broader interventions focusing on multiple violation behaviours and designing appropriate safety policies to reduce commuting crashes are discussed.

A resampling approach to disaggregate analysis of bus-involved crashes using panel data with excessive zeros

Public bus constitutes more than 70% of the overall road-based public transport patronage in Hong Kong, and its crash involvement rate has been the highest among all public transport modes. Though previous studies had identified explanatory factors that affect the crash risk of buses, use of considerably imbalanced crash data with excessive zero observations could lead to inaccurate parameter estimation. This study aims to resolve the excess zero problem of disaggregate analysis of bus-involved crashes based on synthetic data using a Synthetic Minority Over-Sampling Technique for panel data (SMOTE-P). Dataset comprising crash, traffic, and road inventory data of 88 road segments in Hong Kong during the period from 2014 to 2017 is used. To assess the data balancing performance, other common data generation approaches such as Random Under-sampling of the Majority Class (RUMC) technique, Cluster-Based Under-Sampling (CBUS), and mixed resampling, are also considered. Random effect Poisson (REP) models based on synthetic data and random effect zero-inflated Poisson (REZIP) model based on original data are estimated. Results indicate that REP model based on synthetic data using SMOTE-P outperforms REZIP model based on original data and REP models based on synthetic data using RUMC, CBUS and mixed approaches, in terms of statistical fit, prediction error, and explanatory factors identified. Results of model estimation based on SMOTE-P suggest that factors including morning peak, evening peak, hourly traffic flow, average lane width, road length, bus stop density, percentage of bus in the traffic stream, and presence of bus priority lane all affect the bus-involved crash frequency. More importantly, this study provides a feasible solution for disaggregate crash analysis with imbalanced panel data.

Differences in Commuting Modes and Residential Locations as Factors of Turnover Intention of Healthcare Workers of Ambulatory Clinics

Organisations require novel perspectives for achieving a stable workforce. One of such perspectives is having healthy employees, through timely medical care in ambulatory clinics. But when healthcare providers exhibit turnover intentions, and ultimately turnover behaviour, the purpose for such facilities is defeated. The study sought to understand if healthcare workers’ commuting modes and the differences in their residential locations affect their turnover intentions. These variables, which are yet to be investigated in the turnover literature, were examined within the assumptions of discrete choice model. Therefore, 137 healthcare workers of 11 ambulatory clinics, randomly selected from operating clinics in Marina, Lagos Island, were surveyed using purposive sampling method. The results suggest that the differences in residential locations did not produce statistically significant differences in turnover intention. However, there were significant differences in turnover intentions of participants who drive their cars and those who commute with public transport ( F (1, 131) = 9.14, p < 0.01). Further result negates the constant travel time hypothesis and the discrete choice model. The recommendations are focused on coordinated transport schedules, decentralised congested economic activities and polycentric city planning policies. These will enhance dispersed commuting.

A Study on the Causes and Effects of Stressful Situations in Tourism for Japanese People

(1) Numerous studies have been undertaken to investigate the perceived impacts of tourism, particularly from the perspective of local residents. Only a handful have dealt with the coping strategies of this group. In addition, they have largely neglected the successes or failures of the coping strategies and the related consequences. In order to address these gaps, this study aims to investigate the psychological impacts of tourism, focusing on the causes and effects of the negative feelings felt by local residents. (2) Methods: Several qualitative methods, including web archive research, netnography, user-generated content analysis, literature review, and ethnography were employed to gather the necessary data. Japan was selected as the context of this study. (3) Results: This study identified a set of negative feelings and a group of four coping strategies. It also found that the causes of the negative feelings, the bad impacts of tourism, were similar to those in other countries. In addition, the study verified that the effects of the coping strategies were only situational and temporal. (4) Conclusions: Tourism is not stress-free. In order for tourism to sustain, the causes and consequences of its negative impacts must be properly addressed.

Work-family conflict and dangerous driving behaviours: The mediating role of affect

This study examined the under-studied relationship between work-family conflict and dangerous driving behaviours in a sample of employees, and job-related affect as a mediator of this relationship. The sample consisted of 476 Malaysian drivers (44.7% male; 55.3% female) aged 19-60 years. The participants completed scales measuring bidirectional work family conflict (work interference with family[ WIF]; family interference with work [FIW]), job-related negative affect, dangerous driving behaviours and socio-demographics. The data were analysed using structural equation modelling. Our findings indicate that dangerous driving was predicted by FIW, but not WIF. As predicted, job-related negative affect fully mediated the relationship between WIF and dangerous driving. Furthermore, the effect of FIW on dangerous driving behaviours was partially due to negative affect at work. Mediation path was conditional upon gender, suggesting the indirect effects of the relationship between FIW and dangerous driving behaviours via job affect occurs in males but not females. The findings of this study may be useful as a starting point for both applied and theoretical investigations of the role of the psychological effects of juggling work and family responsibilities and affect in traffic safety.

Effect of trauma-related stress after alcohol consumption on perceived likelihood of negative consequences and willingness to drive

BACKGROUND

Alcohol-related motor vehicle crashes are a major preventable cause of death in the United States. One potential factor that may modulate the influence of alcohol on driving-related cognitions and decision-making is trauma-related stress. Indeed, in addition to compelling research indicating that both acute trauma-related stress and acute alcohol consumption may independently affect driving-related risky decision-making, there is reason to believe that the combination of these antecedents may have an exacerbating effect.

METHODS

The current study evaluated the influence of induction of acute trauma-related stress (via script-driven imagery) after alcohol consumption (0.06% Breath Alcohol Concentration [BrAC]) on driving-related cognitions - perceived likelihood of negative consequences and willingness to drive - among 25 trauma-exposed (currently symptomatic) adult drinkers from the community (M = 24.08; 36.0% female).

RESULTS

Participants who were acutely exposed to trauma-related stress after alcohol consumption evidenced lower perceived likelihood of being pulled over by a police officer (ηp2 = 0.38, large effect size) and lower perceived likelihood of getting in an accident (ηp2 = 0.17, medium-to-large effect size) relative to participants exposed to a neutral cue; conversely, participants exposed to trauma-related stress after alcohol consumption evidenced greater willingness to drive (d = 1.16, large effect size) than participants exposed to a neutral cue.

CONCLUSIONS

Generally, findings suggest that individuals with a trauma history that are acutely exposed to trauma-related stressors (e.g., reminders of their traumatic experience) may be particularly vulnerable to poorer driving-related decision-making after alcohol consumption. Results provide a meaningful target for the development of intoxicated driving prevention and intervention efforts geared specifically for individuals with trauma history.

Use of multilevel modeling to examine variability of distracted driving behavior in naturalistic driving studies

Current methods of analyzing data from naturalistic driving studies provide important insights into real-world safety-related driving behaviors, but are limited in the depth of information they currently offer. Driving measures are frequently collapsed to summary levels across the study period, excluding more fine-grained differences such as changes that occur from trip to trip. By retaining trip-specific data, it is possible to quantify how much a driver differs from trip to trip (within-person variability) in addition to how he or she differs from other drivers (between-person variability). To the authors' knowledge, the current study is the first to use multilevel modeling to quantify variability in distracted driving behavior in a naturalistic dataset of older drivers. The current study demonstrates the utility of examining within-person variability in a naturalistic driving dataset of 68 older drivers across two weeks. First, multilevel models were conducted for three distracted driving behaviors to distinguish within-person variability from between-person variability in these behaviors. A high percentage of variation in distracted driving behaviors was attributable to within-person differences, indicating that drivers' behaviors varied more across their own driving trips than from other drivers (ICCs = .93). Then, to demonstrate the utility of personal characteristics in predicting daily driving behavior, a hypothetical model is presented using simulated daily sleep duration from the previous night to predict distracted driving behavior the following day. The current study demonstrates substantial variability in driving behaviors within an older adult sample and the promise of individual characteristics to provide better prediction of driving behaviors relevant to safety, which can be applied in investigations of current naturalistic driving datasets and in designing future studies.

The association between demographic characteristics, personality, and mental health of bus drivers in China: A structural equation model

BACKGROUND

The psychological status of drivers is related to adverse driving behaviors. Although there are several studies on the mental health and traffic accidents among bus drivers, related studies on the association between mental health and individual characteristics are scarce.

METHODS

Our report is on a cross-sectional study of bus drivers that took place between October 2014 and May 2016. A total of 596 bus drivers who worked for transportation companies and underwent occupational physical examinations at The Guangxi Zhuang Autonomous Region workers' Hospital during the study period were included. Demographic characteristics were collected by a self-designed demographic questionnaire. The Eysenck Personality Questionnaire (EPQ) and the Symptom Checklist 90-Revised (SCL-90-R) were used to evaluate the personality and mental health of bus drivers, and the results of the scales were compared with Chinese norms. The structural equation model was used to analyze the correlation among demographic characteristics, personality characteristics, and mental health.

RESULTS

Except for the lie dimension, the average scores of the driver's personality dimension were higher than the Chinese norm, and the means of somatization and phobia scores of bus drivers were also higher; obsessions-compulsions, interpersonal sensitivity, and depression scores were lower than those for the Chinese norms. The structural equations modeling revealed that the total effects coefficient of demographic characteristics on mental health was 0.68, and that of personality was 0.60. There were direct influences between demographic characteristics and personality characteristics, demographic characteristics and mental health, and personality characteristics and mental health; the standardized path coefficients were 0.60, 0.50, and 0.30, respectively. Smoking, drinking, and neuroticism were the main factors affecting the mental health of bus drivers; and the standardized path coefficients were 0.56, 0.54, and 0.90 respectively.

CONCLUSIONS

In this study, bus drivers were significantly more extroverted, psychotic, and neurotic than the general population; and they were more likely to suffer from somatization and phobia. The mental health of bus drivers was associated with some demographic and personality characteristics in the study. These findings provide a theoretical basis for the selection of bus drivers and intervention measures for drivers with high-risk driving tendencies, which is conducive to better guide road traffic safety construction and reduce the occurrence of road traffic injuries.

Police Interactions, Perceived Respect, and Longitudinal Changes in Depression in African Americans

Introduction: We examined police exchanges' and feelings of discrimination's impact on changes in adolescent depression symptoms. Relative to other races, police speak more disrespectfully to African Americans and often exert unnecessary force. We investigated the impact of these exchanges on depression.

Methods: Adolescent Health Study data were analyzed. Latent growth curve modeling with mediation illustrated relationships between police exchanges, perceived discrimination, and depression changes.

Results: African American adolescents had significantly higher levels of initial depression than other racial/ethnic identity groups. For African Americans, police exchanges predicted depression changes. Perceived respect predicted levels and changes of depression for both groups, but mediated the relationship between police exchanges and depression changes only in the “other” racial/ethnic identity group.

Discussion: Police stoppings impacted depression changes for African Americans independent of perceived respect. Findings highlight a potentially unique relationship between depression and police exchanges among African Americans. Future studies may investigate roles of individual differences.

Towards Mindless Stress Regulation in Advanced Driver Assistance Systems: A Systematic Review

Background: Stress can frequently occur in the driving context. Its cognitive effects can be deleterious and lead to uncomfortable or risky situations. While stress detection in this context is well developed, regulation using dedicated advanced driver-assistance systems (ADAS) is still emergent. Objectives: This systematic review focuses on stress regulation strategies that can be qualified as "subtle" or "mindless": the technology employed to perform regulation does not interfere with an ongoing task. The review goal is 2-fold: establishing the state of the art on such technological implementation in the driving context and identifying complementary technologies relying on subtle regulation that could be applied in driving. Methods: A systematic review was conducted using search operators previously identified through a concept analysis. The patents and scientific studies selected provide an overview of actual and potential mindless technology implementations. These are then analyzed from a scientific perspective. A classification of results was performed according to the different stages of emotion regulation proposed by the Gross model. Results: A total of 47 publications were retrieved, including 21 patents and 26 studies. Six of the studies investigated mindless stress regulation in the driving context. Patents implemented strategies mostly linked to attentional deployment, while studies tended to investigate response modulation strategies. Conclusions: This review allowed us to identify several ADAS relying on mindless computing technologies to reduce stress and better understand the underlying mechanisms allowing stress reduction. Further studies are necessary to better grasp the effect of mindless technologies on driving safety. However, we have established the feasibility of their implementation as ADAS and proposed directions for future research in this field.

Work-related factors, fatigue, risky behaviours and traffic accidents among taxi drivers: a comparative analysis among age groups

The main purpose of this study was to investigate the effect of work-related factors, fatigue, risky behaviours on accident involvement among different age groups of taxi drivers in China. A total of 2391 taxi drivers were selected to complete a self-reported questionnaire about their demographic data and information on working conditions, fatigue, risky behaviours, as well as involvement in traffic accidents between 2014 and 2016. The drivers were divided into three categories according to their age. Then, a set of comparative analyses and three structural equation models were used to analyze the samples of specific age groups. The results indicated that taxi drivers in the younger group rest the least with the most dissatisfaction with income while those in the mid-age group worked the longest time and were charged the most management fee, but the older taxi drivers more frequently engaged in risky behaviours and traffic accidents. Furthermore, two mediating chain processes were confirmed (i.e. 'work-related factors - fatigue - accidents' and 'work-related factors - risky behaviours - accidents') across the three age groups. However, the causes of fatigue, risky behaviours and accidents in different age groups are not exactly the same. These findings suggest that the regulation of the taxi industry should be carefully improved. Incentive policy and education aimed at taxi drivers may also hold promise.

A copula-based approach for jointly modeling crash severity and number of vehicles involved in express bus crashes on expressways considering temporal stability of data

The consequences of crashes, including injury, loss of lives, and damage to properties, are further worsened when buses plying expressways are involved in the crash. Previous studies have separately analyzed crash severity in terms of monetary cost, injuries and loss of lives, and the size of crashes in terms of the number of vehicles involved. However, as both outcome variables are correlated, it is imperative to perform a combined analysis using an appropriate econometric model to achieve a better model fit. This study contributes to the literature by jointly exploring the factors influencing the severity and size of express bus-involved crashes that occur on expressways and characterizes the dependence between both outcome variables by employing a more plausible copula regression framework. Likelihood ratio tests were also conducted to investigate the temporal stability of the factors that affect both crash severity and size. Based on the goodness-of-fit statistics, the Frank copula model proved superior to the independent ordered probit model. The estimate of the underlying dependence between the outcome variables provided a better comprehension of the correlation between them. Temporal instability was detected for the individual parameters in the models and is attributed to the changing driving behavior due to the heightened road safety campaigns. The results suggest that traffic exposure measures are significantly associated with a higher propensity of observing increased bus crash severity and size. Insights into the factors influencing the size and severity of express bus crashes are discussed, and appropriate engineering, enforcement, and education-related countermeasures are proposed.

Assessment of the Risks of Occupational Diseases of the Passenger Bus Drivers

Background

The working conditions of bus drivers are difficult; they lead to occupational diseases and require careful study, particularly in Ukraine. The objective of the article is the description of occupational health risks of passenger bus drivers that lead to deteriorating health.

Methods

The risk assessment was performed using a modified Risk Score method, which allowed determining the generalized level of danger to the driver's health. The hygienic hazards level was assessed as based on Stevenson's law, which was generalized later.

Results

Based on the modification of the Risk Score method, it was possible to depart from expert assessments method of the risk level and calculate the general indicator based on the degree of dependence of the impact on the human body on its intensity, proposed by V. Minko. This allows objective determining of the impact of hygiene hazards on the health of the driver and to predict the occurrence of occupational diseases associated with the cardiovascular system, musculoskeletal system, and partial or complete disability due to the accumulation of emotional fatigue. The hazard assessment was carried out for three brands of passenger buses common in Ukraine, in which the driver is exposed to the dangers of fever, vibration, noise, harmful impurities in the bus cabin, and emotional load.

Conclusion

The health of drivers in the cabins of passenger buses is most affected by hygiene hazards: fever, vibration, and emotional stress. The generalized level of risk is calculated by the modified method of Risk Score is 0.83; -0.99, -0.92 respectively.

The effects of economic stress and urbanization on driving behaviours of Boda-boda drivers and accidents in Gulu, Northern Uganda: a qualitative view of drivers

INTRODUCTION

Understanding motorcyclists' on-the-road behaviour is critical for developing and evaluating interventions specifically targeting them. Risky on-the-road behaviours have historically been subdivided into errors and violations of the rules of road use. Police records could be used to record cyclists' behaviours, however these documents do not necessarily capture all errors and violations. None use of protective wears have been documented in many studies conducted on Boda-boda drivers in Uganda. The relationship between drivers' economic stress and road safety have been studied for many years but the effects of global and economic stress, its joint effects on behaviours of drivers in relations to accidents have received very little attention. This study aimed at assessing the relationship between injuries and the Boda-boda drivers' behaviours in Northern Uganda.

METHODS

Two hundred Boda-boda drivers from Gulu Municipality had face-to-face interviews to assess views and underlying factors on the issue of high prevalence of motorcycle road traffic accidents and injuries. Descriptive statistics were used to describe factors on road accidents including personal information, knowledge, skills and attitudes towards road use and safety. The study was approved by a local Institutional Review Board (IRB).

RESULTS

Collectively, the results showed that economic stress is an important factor that affects drivers' behaviour and increases their risks to motorcycle accidents.

CONCLUSION

These authors suggest that more studies should be conducted to determine the relationship between economic stress, anger and dangerous behaviours among Boda-boda drivers and accidents in Gulu Municipality using a Motorcycle Rider Behaviour Questionnaire (MRBQ).

Testing the Effectiveness of a Mixed-Method Pilot Intervention in Reducing Risky Driving Due to Aggression and Stress

The study aimed at testing the effectiveness of a mixed-method pilot intervention in reducing risky self-reported driving performance, upon addressing stress and aggression while driving. The study recruited individuals who had performed these behaviors during the year preceding the study and allocated them into an intervention (n = 10) and a control group (n = 30). A pre-and postintervention evaluation design was employed to explore changes in risky self-reported driving behaviors, 12 months after the intervention. The intervention involved 2 h of experiential instruction and 1 h of cognitive restructuring using a driving simulator and scenarios appropriate for the processing of driving stress, aggression, and risk. The intervention group displayed significant improvements in the scales of “Hazard Monitoring” (p = 0.037) and “Covered Violations” (p = 0.049) at the postintervention level. No statistically significant differences were identified in terms of self-reported driving performance between the intervention and the control group at postintervention level. Launching large-scale experimental surveys with broadened cognitive restructuring approaches seems important to deepen our understanding of the behavioral change processes and increase the effectiveness of future interventions.

Significance of attitudes, passion and cultural factors in driver's speeding behavior in Oman: application of theory of planned behavior

Traffic accidents and related fatalities have become a major public health problem in the world. This study aims to identify the significant factors that play an important role in the speeding behavior of drivers. A comprehensive questionnaire was designed and conducted with the students and employees of the University of Nizwa. The questionnaire items were designed considering the theoretical background of the theory of planned behavior (TPB) and local socio-cultural aspects of the driving environment. A total of 303 usable samples were obtained. The collected data were analyzed using factor analysis and structural equation modelling technique. The extracted factors of speeding passion and culture, speeding attitudes, subjective norms and perceived behavioral control are significant determinants of drivers speeding behavior in Oman. The driver's speeding attitudes, speeding culture, and passion have positive association with the drivers' speeding intentions and behavior, and driver's perceived behavioral control forms negative relationship with the speeding behavior. This study confirms the application of the TPB in predicting the drivers' speeding behavior in the context of Oman.

Endogenous commercial driver's traffic violations and freight truck-involved crashes on mainlines of expressway

Freight truck-involved crashes result in a high mortality rate and significantly impact logistic costs; therefore, many researchers have analyzed the causes of truck-involved traffic crashes. In the existing literature, it was found that truck-involved crashes are affected by factors such as road geometry, weather, driver and vehicle characteristics, and traffic volume based on a variety of statistical methodologies; however, the endogenous impact resulting from driver traffic violation has not been considered. The goal of the study is to discover the factors influencing freight vehicle crashes and develop more accurate crash probability estimation by explaining the endogenous driver traffic violations. To achieve the purpose of this study, we applied the two-stage residual inclusion (2SRI) approach, a methodology used in the nonlinear regression analysis model for capturing the endogeneity issue. This method improves the accuracy of the model by capturing the unobserved effects of driver traffic violations. From the results, traffic violations were identified to be influenced by the driver's physical condition, as well as driver and vehicle characteristics. Furthermore, variables of driver traffic violations such as improper passing, speeding, and safe distance violation were found to be endogenous in the probability model of freight truck crashes on expressway mainlines.

Increased motor vehicle crashes following induced earthquakes in Oklahoma, USA

Anxiety-inducing life events increase the risk of motor vehicle crashes. We test the hypothesis that earthquakes, known to increase anxiety in the population, also increase the incidence of motor vehicle crashes. Our study took place in Oklahoma, USA where wastewater injection resulted in increased induced seismicity between 2010 and 2016. We identified dates of earthquakes ≥ magnitude 4 (a level felt by most people) with data from the U.S. Geologic Survey. The Oklahoma Highway Safety Office provided county-level monthly vehicle crash counts. We defined high, medium, and low earthquake exposure counties based on the location of earthquake epicenters. Using time-series analyses, we evaluated the association between monthly counts of ≥magnitude 4 earthquakes and motor vehicle crashes by exposure group. Earthquakes ≥ magnitude 4 took place in 38 of 84 study months, and a monthly average of 5813 (SD = 384) crashes occurred between 2010 and 2016. In high-exposure counties, we observed an additional 39.2 motor vehicle crashes per each additional ≥ magnitude 4 earthquake in the prior month (SE = 11.5). We found no association between the timing of ≥magnitude 4 earthquakes and motor vehicle crashes in the medium or low exposure counties. With a binary earthquake exposure variable, we found a 4.6% (SE = 1.4%) increase in motor vehicle crashes in the high exposure counties in the month following 1 or more ≥magnitude 4 earthquakes. Consistent with our hypothesis, there was no association between earthquakes of magnitude ≤ 2.5 and motor vehicle crashes in the high-exposure counties. This novel evidence of an association between induced earthquakes in Oklahoma and motor vehicle crashes warrants future research given the high economic and social costs of such vehicle crashes.

Work stress and health problems of professional drivers: a hazardous formula for their safety outcomes

Background

Several empirical studies have shown that professional drivers are a vulnerable occupational group, usually exposed to environmental stressors and adverse work conditions. Furthermore, recent studies have associated work-related stress with negative job performances and adverse health outcomes within this occupational group, including cardiovascular diseases and unsafe vehicle operation.

Objective

The aim of this study was to describe the working conditions and the health status of this occupational group, and to evaluate the association between the Demand-Control model of job stress and their self-reported health and safety outcomes.

Methods

A pooled sample of 3,665 Colombian professional drivers was drawn from five different studies. The Job Content Questionnaire and the General Health Questionnaire were used to measure work stress and self-reported mental health, respectively. Additionally, professional drivers self-reported health problems (hypertension, dyslipidemia, diabetes and overweight) and health-related risky behaviors (smoking and sedentary behavior).

Results

Regarding the Job Demands-Control (JDC) model, it was found that approximately a third part of Colombian professional drivers suffer from high job strain (29.1%). Correlational and multivariate analyses suggest that de JDC model of stress is associated with the professional drivers' mental health, traffic accidents and fines, but not with other physical and behavioral health-related outcomes, which are highly prevalent among this occupational group, such as hypertension, dyslipidemia, diabetes, overweight, smoking and sedentary behavior.

Conclusion

The results of this study suggest that (a) stressful working conditions are associated with health and lifestyle-related outcomes among professional drivers, and (b) that evidence-based interventions are needed in order to reduce hazardous working conditions, job stress rates and their negative impact on the health of this occupational group.

An exploratory study of long-haul truck drivers' secondary tasks and reasons for performing them

Research on drivers has shown how certain visual-manual secondary tasks, unrelated to driving, increase the risk of being involved in crashes. The purpose of the study was to investigate (1) if long-haul truck drivers in Sweden engage in secondary tasks while driving, what tasks are performed and how frequently, (2) the drivers' self-perceived reason/s for performing them, and (3) if psychological factors might reveal reasons for their engaging in secondary tasks. The study comprised 13 long-haul truck drivers and was conducted through observations, interviews, and questionnaires. The drivers performed secondary tasks, such as work environment related "necessities" (e.g., getting food and/or beverages from the refrigerator/bag, eating, drinking, removing a jacket, face rubbing, and adjusting the seat), interacting with a mobile phone/in-truck technology, and doing administrative tasks. The long-haul truck drivers feel bored and use secondary tasks as a coping strategy to alleviate boredom/drowsiness, and for social interaction. The higher number of performed secondary tasks could be explained by lower age, shorter driver experience, less openness to experience, lower honesty-humility, lower perceived stress, lower workload, and by higher health-related quality of life. These explanatory results may serve as a starting point for further studies on large samples to develop a safer and healthier environment for long-haul truck drivers.

A pre/post evaluation of fatigue, stress and vigilance amongst commercially licensed truck drivers performing a prolonged driving task

Purpose. The main purpose of this research study was to evaluate changes in fatigue, stress and vigilance amongst commercially licensed truck drivers involved in a prolonged driving task. The secondary purpose was to determine whether a new ergonomic seat could help reduce both physical and cognitive fatigue during a prolonged driving task. Two different truck seats were evaluated: an industrial standard seat and a new truck seat prototype. Methods. Twenty male truck drivers were recruited to attend two testing sessions, on two separate days, with each session randomized for seat design. During each session, participants performed two 10-min simulated driving tasks. Between simulated sessions, participants drove a long-haul truck for 90 min. Fatigue and stress were quantified using a series of questionnaires whereas vigilance was measured using a standardized computer test. Results. Seat interactions had a significant effect on fatigue patterns. Conclusion. The new ergonomic seat design holds potential in improving road safety and vehicle accidents due to fatigue-related accidents.

Modeling intraindividual variation in unsafe driving in a naturalistic commuting environment

Commuting to work by car is a frequently occurring activity that poses a salient risk to worker safety. Although general stress perceptions have been linked to indicators of unsafe commuting in cross-sectional studies, little is known about whether and how day-to-day variability in stressor exposure and subjective and affective strain reactions covary with intraindividual variability in unsafe driving while commuting over time. A major contributor to this knowledge gap is the lack of a validated methodology to link subjective self-report variables to objective driving performance criteria in a naturalistic commuting environment. Data were collected from university staff employees (N = 50) over a 2-week sample of daily experiences and objective recordings of unsafe driving behaviors. We applied a multilevel methodology to evaluate a model in which exposure to daily hindering and challenging components of work stress, end-of-workday psychological distress, and end-of-workday negative affect influence objectively monitored unsafe driving behaviors in a naturalistic commuting environment. Results indicated that employees were less likely to drive unsafely during their postwork commute on days in which they encountered more challenge stressors at work (odds ratio = .63). However, employees who experienced heightened negative affective spillover were more likely to drive unsafely during their postwork commute (odds ratio = 1.96). We discuss the theoretical, practical, and methodological implications of our findings for research on employee commuting safety. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Emotional reactivity: Beware its involvement in traffic accidents

BACKGROUND

Reducing risk attributable to traffic accidents is a public health challenge. Research into risk factors in the area is now moving towards identification of the psychological factors involved, particularly emotional states. The aim of this study was to evaluate the link between emotional reactivity and responsibility in road traffic accidents. We hypothesized that the more one's emotional reactivity is disturbed, the greater the likelihood of being responsible for a traffic accident.

METHODS

This case-control study was based on a sample of 955 drivers injured in a motor vehicle crash. Responsibility levels were determined with a standardized method adapted from the quantitative Robertson and Drummer crash responsibility instrument. Emotional reactivity was assessed with the MATHYS.

RESULTS

Hierarchical cluster analysis discriminated four distinctive driver's emotional reactivity profiles: basic emotional reactivity (54%), mild emotional hyper-reactivity (29%), emotional hyper-reactivity (11%) and emotional hypo-reactivity (6%). Drivers who demonstrated emotional hypo-reactivity had a 2.3-fold greater risk of being responsible for a traffic accident than those with basic emotional reactivity.

CONCLUSION

Drivers' responsibility in traffic accidents depends on their emotional status. The latter can change the ability of drivers, modifying their behavior and thus increasing their propensity to exhibit risk behavior and to cause traffic accidents.

Working Conditions, Job Strain, and Traffic Safety among Three Groups of Public Transport Drivers

Background

Working conditions and psychosocial work factors have acquired an important role explaining the well-being and performance of professional drivers, including those working in the field of public transport. This study aimed to examine the association between job strain and the operational performance of public transport drivers and to compare the expositions with psychosocial risk at work of three different types of transport workers: taxi drivers, city bus drivers, and interurban bus drivers.

Method

A sample of 780 professional drivers was drawn from three transport companies in Bogota (Colombia). The participants answered the Job Content Questionnaire and a set of sociodemographic and driving performance questions, including age, professional driving experience, work schedules, and accidents and penalties suffered in the last 2 years.

Results

Analyses showed significant associations between measures of socio-labor variables and key performance indicators such road traffic accidents and penalties. Furthermore, multiple linear regression analysis contributed to explain significantly suffered accidents from key variables of the Job Demand-Control model, essentially from job strain. In addition, throughout post-hoc analyses, significant differences were found in terms of perceived social support, job strain, and job insecurity.

Conclusion

Work stress is an issue that compromises the safety of professional drivers. This research provides evidence supporting a significant effect of job strain on the professional driver's performance. Moreover, the statistically significant differences between taxi drivers, city bus drivers, and interurban bus drivers in their expositions to work-related stress suggest the need for tailored occupational safety interventions on each occupational group.

Síndrome de Quemarse por el Trabajo (SQT) y Estrés: Funcionarios de locomoción colectiva de la ciudad de Arica, Chile

La presente investigación tiene como objetivo general describir e indagar en la relación entre los niveles de Síndrome de quemarse por el Trabajo (SQT) y Estrés percibido en los funcionarios de locomoción colectiva de la ciudad de Arica. La muestra estuvo compuesta por 130 choferes de taxi-colectivo, quienes representaron 13 sindicatos de este medio de transporte en Arica. Para determinar los niveles de burnout se utilizó el Cuestionario de Evaluación del Síndrome de Quemarse por el trabajo (CESQT), y para indagar sobre la presencia/ausencia de estrés se empleó el Escala de percepción Global de Estrés (EPGE); ambos instrumentos demostraron confiabilidad y validez adecuada. El análisis de los datos se llevó a cabo empleando estadística descriptiva, y los resultados revelaron que en las cuatro dimensiones se ubican sujetos con niveles críticos: 41.5% de los sujetos se encuentra ‘desilusionado’; 53.1% ‘desgastados psíquicamente’ y 63.1% experiencia ‘indolencia’. La edad demostró ser significativa en la comparación de medias entre el SQT y EPGE, siendo las dimensiones ‘desgaste psíquico’ e ‘indolencia’ las que puntuaron más alto, con conductores entre los 66 y 80 años, y entre los 51 y 65 años, respectivamente.

The relationship between cell phone use and management of driver fatigue: It's complicated

INTRODUCTION

Voice communication may enhance performance during monotonous, potentially fatiguing driving conditions (Atchley & Chan, 2011); however, it is unclear whether safety benefits of conversation are outweighed by costs. The present study tested whether personalized conversations intended to simulate hands-free cell phone conversation may counter objective and subjective fatigue effects elicited by vehicle automation.

METHOD

A passive fatigue state (Desmond & Hancock, 2001), characterized by disengagement from the task, was induced using full vehicle automation prior to drivers resuming full control over the driving simulator. A conversation was initiated shortly after reversion to manual control. During the conversation an emergency event occurred.

RESULTS

The fatigue manipulation produced greater task disengagement and slower response to the emergency event, relative to a control condition. Conversation did not mitigate passive fatigue effects; rather, it added worry about matters unrelated to the driving task. Conversation moderately improved vehicle control, as measured by SDLP, but it failed to counter fatigue-induced slowing of braking in response to an emergency event. Finally, conversation appeared to have a hidden danger in that it reduced drivers' insights into performance impairments when in a state of passive fatigue.

CONCLUSIONS

Automation induced passive fatigue, indicated by loss of task engagement; yet, simulated cell phone conversation did not counter the subjective automation-induced fatigue. Conversation also failed to counter objective loss of performance (slower braking speed) resulting from automation. Cell phone conversation in passive fatigue states may impair drivers' awareness of their performance deficits. Practical applications: Results suggest that conversation, even using a hands-free device, may not be a safe way to reduce fatigue and increase alertness during transitions from automated to manual vehicle control.

The antecedents, experience, and coping strategies of driver boredom in young adult males

INTRODUCTION

Road crash statistics are evidence of the severe consequences resulting from human error, especially among young adult males. Drivers perform best and safest when they are adequately engaged in the driving task. Boredom and a lack of engagement in the driving task may cause risk taking and phone use. However, the antecedents to driver boredom, the subjective experience itself, as well as the coping strategies to combat boredom are not well understood. The aim of this study was to investigate these aspects.

METHOD

We carried out a qualitative study in a simulated, safe, yet highly immersive driving environment. The 24 participants included male drivers aged 18 to 25 susceptible to risky driving and phone use. A phenomenological framework was used to analyze their accounts of the experience of boredom while driving.

RESULTS

Results indicate that situations giving rise to driver boredom include low traffic, slow or constant speed, and routine drives. Feelings comprising the experience were frustration, vigilance, relaxing, autopilot, mind wandering, and discomfort. Coping mechanisms manifest themselves in approach strategies related to the driving task such as speeding, which are often dangerous, and avoidance strategies, which include phone use.

CONCLUSIONS

We conclude that driver boredom bears similarities to the experience of boredom at work (unlike boredom at home) due to the situational constraints, where people feel stuck, trapped, or obliged to remain vigilant.

PRACTICAL APPLICATIONS

The findings present an opportunity for the road safety and automotive technology community to address the issue of under-stimulation through safety interventions aimed at increased task engagement. Our work can also aid in investigating driver experiences in partially automated driving, which is likely to induce boredom as well.

Validation of the Driver Stress Inventory in China: Relationship with dangerous driving behaviors

Perceived stress while driving may affect how critical driving events are handled. The current study validates a Chinese version of the Driver Stress Inventory (DSI) and explores its correlation with dangerous driving behaviors and gender. A sample of 246 drivers completed the Chinese version of the DSI and the Driver Behavior Questionnaire (DBQ). We also evaluated specific sociodemographic variables and traffic violations (including speeding, violating traffic signs or markings, driving while intoxicated, running a red light, and incurring penalty points). A confirmatory factor analysis (CFA) verified the DSI's internal structure. The DSI was also validated using questionnaires related to the DBQ, self-reported traffic accidents and violations, and sociodemographic characteristics. First, all of the DSI dimensions were moderately or weakly correlated with the DBQ subscales. Second, aggression, hazard monitoring and fatigue were weakly correlated with minor accidents. Third, drivers who had sped and violated traffic signs during the previous three years reported higher aggression and thrill seeking, while drivers who had violated traffic signs or markings during the previous three years reported decreased hazard monitoring compared with non-offenders. Finally, there were significant gender differences in driver stress. The Chinese version of the DSI will be useful for classifying and diagnosing drivers who may be at an increased risk for stress reactions.

The effect of stress and personality on dangerous driving behavior among Chinese drivers

The relationship between stress and road safety has been studied for many years, but the effect of global stress and its joint effect with personality on driving behavior have received little attention in previous studies. This study aimed to elucidate the impact of global stress and various personality traits on driving behavior. 242 drivers completed the Perceived Stress Scale-10 (PSS-10), the Dula Dangerous Driving Index (DDDI), and several personality trait scales related to anger, sensation seeking, and altruism. The results showed that perceived stress and sensation seeking were significantly correlated with the four subcategories of dangerous driving behavior, namely, negative cognitive/emotional driving (NCED), aggressive driving (AD), risky driving (RD), and drunk driving (DD). Moreover, anger was positively correlated with negative cognitive/emotional driving, aggressive driving, and risky driving, and altruism was negatively correlated with aggressive driving and drunk driving. Hierarchical multiple regressions were applied to analyze the mediating effect of personality traits, and the results showed that anger mediated the relationship between stress and dangerous driving behavior and that this mediating role was especially strong for negative cognitive/emotional driving and aggressive driving. Collectively, the results showed that stress is an important factor that can affect people's driving behavior but that personality traits mediate the effect of stress on driving behavior. The findings from this study regarding the relationship among stress, anger, and dangerous driving behavior could be applied in the development of intervention programs for stress and anger management in order to improve drivers' ability to manage emotional thoughts and adjust their behavior on the road.

Sounding the warning bells: the need for a systems approach to understanding behaviour at rail level crossings

Collisions at rail level crossings are an international safety concern and have been the subject of considerable research effort. Modern human factors practice advocates a systems approach to investigating safety issues in complex systems. This paper describes the results of a structured review of the level crossing literature to determine the extent to which a systems approach has been applied. The measures used to determine if previous research was underpinned by a systems approach were: the type of analysis method utilised, the number of component relationships considered, the number of user groups considered, the number of system levels considered and the type of model described in the research. None of research reviewed was found to be consistent with a systems approach. It is recommended that further research utilise a systems approach to the study of the level crossing system to enable the identification of effective design improvements.