Commuting accidents of Spanish professional drivers: when occupational risk exceeds the workplace

An investigation into the role of driver characteristics in driving behaviours and subsequent clustering of Indian bus drivers

OBJECTIVES

Aberrant driving behaviours among bus drivers cause serious concerns to safety on the road. The present study aimed to measure the effects of driver characteristics on aberrant and positive driving behaviours among bus drivers and to group drivers accordingly. The study was carried out among bus drivers of the government-owned road transport corporation in Kerala, India.

METHODS

A total of 1120 drivers took part in the survey, out of which 617 drivers returned the forms with all questions answered (response rate = 55.1%). SPSS version 27.0 was used for analysis.

RESULTS

Structural equation modelling proved the predictive nature of driver characteristics on driving behaviours. K-means cluster analysis revealed clusters such as violating and angry drivers (cluster 1), knowledgeable drivers with positive driving behaviours (cluster 2), healthy and stress-free drivers (cluster 3), erroneous and stressed drivers (cluster 4) and calm drivers with positive driving behaviours (cluster 5).

CONCLUSION

Positive relationships of anger and stress on aberrant driving behaviours and higher number of drivers in clusters 1 and 4 reveal concerns of safety. The study points towards the necessity of organizational commitment for improving driver characteristics for better driver behaviours and safer roads.

Public transportation means as seen by citizens: Approaching the case of the Dominican Republic

and middle-income countries, key constraints such as dense traffic flows, jams, and pollution constitute frequent issues that potentially explain many negative consequences in terms of (e.g.) efficiency, sustainability, and mobility safety. In this regard, recent evidence supports the idea that fostering public transportation is crucial to offering solutions for this difficult panorama. However, transport mode-related choices and shifts have been proven to depend highly on key perceptions and needs of potential users. The aim of this study was to analyze a set of key users' perceptions, usage, and perceived quality of public transportation in the Dominican Republic, as well as to explore the most relevant features for Dominicans from the "desired quality" paradigm. For this research at a national level, data retrieved from a nationwide sample of 1254 inhabitants of the Dominican Republic was used, proportional to the ONE census in terms of sex, age, habitat, and region. Overall, the results show that the general quality of transportation is 6.70 points out of 10. The use of public transportation in the Dominican Republic has a medium-low rating and is very focused on urban buses (41 %) and public cars (27.1 %). Nonetheless, the metro remains the most highly rated means of transport (M = 8.75). Concerning the quality variables analyzed, the highest scores are for accessibility (M = 7.08) and frequency of service (M = 6.99). Further, Dominicans focus on improving comfort, vehicle conditions, and safety. This study constitutes a first approximation to the desired quality of public transportation for Dominican Citizens, which may help policymakers scope user-based needs in public transportation systems and encourage a more frequent (and friendlier) public transport use in the country.

Evolution of work conditions for employees driving for work in France based on data from the 2003, 2010 and 2017 SUMER surveys (Surveillance Médicale des expositions aux risques Professionnels)

INTRODUCTION

The occupational road-accident risk on public roads and the work conditions for professional driving is still an important issue in occupational health despite lower road-accident rates. This study presents the evolution over time of the work-related constraints for these employees based on the Sumer surveys carried out in 2003, 2010 and 2017.

METHOD

Data from the 2010 and 2017 surveys were restricted to match the scope of the 2003 survey in order to enable prevalence data to be compared in equivalent populations. The main variable of interest was "driving (car, truck, bus, and other vehicles) on public thoroughfares" for work (during the last week of work: yes/no). Work time characteristics, work rhythm, autonomy and scope for initiative, collective work group, standards and evaluations variables were completed by the occupational health physicians. A self-administered questionnaire was also provided to employees and contained the Job Content Questionnaire, which assesses decision latitude, social support and psychological demands, the reward scale of Siegrist questionnaire, the hostile behaviour with inspired questions for Leymann, sick leave and work accidents during the past 12 months and job satisfaction. Finally, prevention in the workplace was also completed by the occupational health physicians.

RESULTS

About 25% of employees in France were exposed to work-related driving in 2017, which was stable in comparison with 2003 and 2010. However, the population was older and there were more females, more often from the clerical staff/middle manager category and working in companies with fewer than 10 employees. Employees exposed to work-related driving were also more frequently exposed to sustained work schedules and physical constraints, but less exposed to psychosocial risks.

CONCLUSIONS

The percentage of employees exposed to occupational road accident risk, i.e., exposure to work-related driving, remained stable at about 25% in 2017 compared with previous surveys. These employees were also more frequently exposed to sustained work schedules and physical constraints, but less exposed to psychosocial risks.

PRACTICAL APPLICATIONS

Prevention campaigns on work-related road accident risk should be provided to all employees in all companies since all jobs can be concerned.

Psychosocial factors, psychological well-being and safety incidents among long-distance bus drivers in Ghana: A cross-sectional survey

BACKGROUND

Commercial bus drivers account for most road traffic crashes and related mortality. The psychosocial working conditions of these drivers have been found precarious. However, road safety initiatives in Ghana still focus on correcting risky driving behaviours, ignoring the conditions under which these drivers operate. Hence, the purpose of this study was to examine whether psychosocial work factors can predict the psychological well-being and risky driving behaviours of long-distance bus drivers in Ghana.

METHODS

This quantitative cross-sectional survey recruited 7315 long-distance bus drivers that operate from Accra to other parts of Ghana and cities in other West African countries. Hypotheses were tested using Partial Least Squares Structural Equation Modelling (PLS-SEM).

RESULTS

We found that job demands and job resources are direct and significant predictors of psychological well-being and safety incidents among these drivers. Moreover, psychological well-being of the drivers had a significant inverse relationship with their safety incidents. Psychosocial safety climate (PSC) had a negative association with safety incidents, and a positive but non-significant association with psychological well-being. PSC had a negative and significant association with job resources contrary to the notion of the PSC theory.

CONCLUSION

Psychosocial work factors are predictors of psychological well-being and safety incidents of long-distance bus drivers. Owners and managers of bus transport businesses in Ghana, driver unions and station masters need to highly prioritise psychological health and safety of this bus drivers by providing suitable job resources and adopting bottom-up communication that might help the drivers effectively cope with their job demands.

Psychosocial work factors affecting safety incidents of long-distance bus drivers in Ghana: Mediating role of psychological well-being

Background

Improving psychosocial work environment of long-distance bus drivers is essential for their psychological well-being and on-the-road safety. Despite the importance of the work environment of bus drivers, it has received little research attention in Ghana and other developing nations. Hence, this study examined the influence of psychosocial work factors (job demands and job resources) on safety incidents of long-distance bus drivers and how psychological well-being mediates this association.

Methods

This cross-sectional survey sampled 7315 long-distance bus drivers who commute from the cities of Accra and Tema to other parts of Ghana and other cities in the West Africa sub-region. Partial least squares structural equation modelling (PLS-SEM) was used to test four hypotheses.

Findings

The results suggest that job demands and job resources have direct association with safety incidents of the long-distance bus drivers. The psychological well-being of the bus drivers played a partial mediation role in the association between psychosocial work factors and safety incidents of the drivers.

Conclusion

The job demand-resource model provides a useful model for understanding the impact of the work environment on driving performance among these long-distance bus drivers. Providing the drivers with high job control and supportive work culture can equip and support them to value the critical roles they play in the transport sector. Managers of bus transport companies and individual bus owners should implement effective communication strategies like the bottom-up communication approach, conduct periodic assessments to identify and address drivers' precarious work conditions, create safety on the road, and reduce crashes and associated fatalities.

Psychosocial work conditions and traffic safety among minibus and long-bus drivers

OBJECTIVE

This study sought to examine the association between psychosocial work factors and road traffic crashes (RTCs), and test the differences in psychosocial work factors between minibus and long-bus drivers.

METHODS

This cross-sectional survey employed a convenient sampling method to collect data from 7315 long-distance minibus and long-bus drivers who operate between the Ghanaian cities, Accra and Tema and other parts of the country. The drivers answered a job content questionnaire, psychosocial safety climate scale (PSC-12), work-family conflict scale, and demographic questions on age, education, driving hours, and RTC history.

RESULTS

The correlational analysis showed a significant association between psychosocial work factors and RTCs for the previous 2 years. Hierarchical multiple linear regression found that supervisor support, skill discretion, decision autonomy, psychological demands, PSC, and work-family conflict significantly contributed to explaining RTC rates among the drivers. Also, significant differences were found between minibus and long-bus drivers in driving hours, occurrence of near misses, RTCs, and all psychosocial work factors explored in this study except work-family conflict.

CONCLUSIONS

Psychosocial work factors directly predict RTCs among minibus and long-bus drivers. Policymakers, driver unions, and owners and managers of bus transport businesses should prioritize integrating occupational health and safety into road transport activities. Furthermore, managers and bus owners should use bottom-up communication, provide access to support services and work-family balance initiatives, flexible work schedules, and a supportive work environment to improve road safety.

Prevalence and correlates of depressive symptoms among professional drivers in Saudi Arabia: A cross-sectional study

BACKGROUND

Professional drivers in Saudi Arabia may be at increased risk for mental illness because of their expatriate status, long driving hours, and unhealthy lifestyles.

OBJECTIVE

To assess the prevalence and correlates of depressive symptoms among professional drivers in Saudi Arabia, most of whom are expatriates.

METHODS

Professional drivers (n = 324) were interviewed after convenient sampling of transportation companies. The Depression Anxiety Stress Scale-21 (DASS-21) was used to screen for depressive symptoms. Correlates of depressive symptoms were identified using Cox regression with a fixed follow-up time.

RESULTS

Of the drivers, 20.4% had moderate to severe depressive symptoms. Sleep quality was found to be a significant independent correlate of depressive symptoms. Drivers with poor and fair sleep quality had higher risk of depressive symptoms than drivers with excellent sleep quality (poor: OR = 5.8, CI: 1.95-17.11; fair: OR = 4.5, CI: 1.68-11.96).

CONCLUSION

The frequency of depressive symptoms among professional drivers in Saudi Arabia is high (one out of five). Companies should consider screening for depressive symptoms and sleep disorders among employees and should provide referrals as needed.

Exploring factors that influence the cardiovascular health of bus drivers for the improvement of transit safety

The causes of traffic accidents include sudden cardiovascular disease events of drivers that go undetected in routine physical examinations of their health. While increased attention has been paid to proactive driver management by the frequent monitoring of drivers' mental and physical condition to avoid such events, very few studies have examined the deeper risk factors that influence the cardiovascular health of bus drivers represented by workload and scheduling. To fill this knowledge gap, this study adopts a data mining approach to exploring the factors influencing the cardiovascular health of intercity bus drivers using their daily cardiovascular measurement data along with their schedules and routine physical examination results. Ten influencing factors were identified, including medical history, late-night habits and afternoon and evening driving schedules. The present findings will be useful for preventing accidents where cardiovascular disease is involved, which in turn will help improve transit safety.

The road safety and risky behavior analysis of delivery vehicle drivers in China

The delivery industry has seen dramatic growth in demand and scale in China. Due to the stock limitations and delivery time restrictions, the couriers may commit traffic violations while delivering, resulting in a pessimistic road safety situation. This study aims to reveal critical factors that influence delivery vehicle crash risks. A cross-sectional structured questionnaire survey is conducted to collect demographic attributes, workload, work emotions, risky driving behavior, and road crash involvement data among 824 couriers in three developed regions of China. The collected data is then analyzed through an established path model to identify the contributing factors of delivery road crash risks and risky behaviors. The road crash risk level (RCRL) indicator is defined by taking into consideration both frequency and severity. While the risky behaviors are defined by both their frequency and correlations to crash risks. The results indicate that 1) Beijing-Tianjin Urban Agglomeration has the highest road crash frequency and RCRL; 2) distracted driving and wrong-lane-use are among the top three risky behaviors for both Yangtze River Delta Urban Agglomeration and Pearl River Delta Urban Agglomeration. For Beijing-Tianjin Urban Agglomeration, distracted driving, aggressive driving, and lack of protection are the top three risky behaviors; 3) time demand and personal efforts are important factors contributing to the cognitive workload of couriers; 4) objective workload can affect the cognitive workload and both workloads influence drivers' emotions (anxiety and anger); 5) the objective, cognitive workload, drivers' emotions influence the RCRL through their impacts on risky behavior but in different paths for three agglomerations. The findings highlight the importance of developing targeted countermeasures to reduce the delivery workers' workload, improve their performance on roads, and mitigate severe crash risks.

Incidence of commuting accidents among non-physician staff in a large French university hospital centre from 2012 to 2016

BACKGROUND

Traffic road crashes are the leading cause of fatal crashes at work. The circumstances of work-related road accidents have been a regular focus of study, but there is still a lack of knowledge about commuting accidents.

OBJECTIVE

The aims of this study were to estimate the overall incidence of commuting accidents for non-physician professionals in a major French university hospital, by gender and different professional categories, and to assess its evolution over a 5-year period.

METHODS

A descriptive analysis was performed on 390 commuting accidents from 2012 to 2016 extracted from the university hospital's occupational health service. Incidences of commuting accidents were calculated according to gender, occupational categories, and years. Crude relative risk (RR) for the association of commuting accidents with gender, occupational categories, and year of the accident was also estimated using log-binomial regressions.

RESULTS

The annual incidence ranged from 354 to 581 accidents per 100,000 employees. Compared with administrative staff, the relative risk (RR) for commuting accidents for service agents was 1.6 (95% confidence interval (CI): 1.1-2.4) and for auxiliary nurses and childcare assistants was 1.3 (95% CI: 1.0-1.9). Nursing executives had a non-significantly lower RR of 0.6 (95% CI: 0.3-1.5).

CONCLUSION

The increased risk observed for the auxiliary nurses and childcare assistants and for the service agents may be related in part to the fatigue caused by work schedules, long commuting distances, physical work, and psychological burden.

Exploring the facilitators and barriers to high-risk behaviors among school transportation drivers: a qualitative study

Background

School transportation (ST) crashes are associated with serious adverse consequences, particularly for students in developing countries. High-risk behaviors (HRBs) of ST drivers are a major factor contributing to ST crashes. This study aimed at exploring the facilitators and barriers to HRBs among ST drivers.

Methods

This qualitative study was conducted in 2019–2020. Participants were ST drivers, students, parents, and school staff purposively selected from Tehran, Iran. Data were collected through in-depth semi-structured interviews and focus group discussions and were concurrently analyzed through conventional content analysis.

Findings

Participants were fifteen ST drivers with a mean age of 45 ± 10.2 years and 24 students, parents, and school staff with a mean age of 28.62 ± 16.08 years. The facilitators and barriers to HRBs came into five main categories, namely previous experiences of HRBs, perceived gains and risks of HRBs, motivating and inhibiting feelings and emotions, positive and negative subjective norms, and perceived mastery in driving.

Conclusion

A wide range of facilitators and barriers can affect HRBs among ST drivers. Strategies for preventing HRBs among ST drivers should be multidimensional and individualized and should focus on strengthening the barriers and removing the facilitators to HRBs.

Work-Related Driving of Heavy Goods Vehicles: Factors That Influence Road Safety and the Development of a Framework for Safety Training

Road traffic accidents are a major health concern all over the world. Each year, 1.3 million people die in fatal road traffic accidents. Fatal and serious heavy goods vehicle (HGV) crashes are over-represented in many countries. This paper is a contribution to the road safety literature and has two aims. First, the study seeks to identify important factors in managing road safety for work-related driving of HGVs. Second, the study proposes an overall framework for how safety training could be executed and its overall content. Methods used were a literature review and a case study. The results show that important factors for management of road safety could be arranged at different levels: governmental level, third-party level, organizational level and driver level. Most important is that a systematic approach to road traffic safety for HGVs is essential. Every party is jointly responsible for road traffic safety, and parties must communicate and work together to increase road traffic safety for work-related driving of HGVs. By developing a safety training program for all parties in the system, the study proposes a method for increased communication, collaboration and cooperation between parties.

Environmentally friendly, but behaviorally complex? A systematic review of e-scooter riders' psychosocial risk features

INTRODUCTION

E-scooters have made a place for themselves on urban roads as an affordable, easy-to-use and environmentally friendly method of transportation. However, and partly because of their road behaviors and safety outcomes, e-scooter users have started to represent a focus of attention for transport planners and policymakers.

AIM

The present systematic review aims to target and analyze the existing studies investigating the psychosocial characteristics of e-scooter riders, focusing on their behavioral and risk-related features.

METHODS

For this systematic review, the PRISMA methodology was used, which allows for the selection of suitable papers based on the study topic, in accordance with a set of pre-defined criteria and a search algorithm. A total of 417 indexed articles were filtered, resulting in only 32 eligible original articles directly addressing the issue. WOS, Scopus, NCBI, Google Scholar, and APA databases were used to create and test search techniques.

RESULTS

At the literature level, most of the existing studies are distributed in a few regions of the globe. At the user's level, results show how e-scooters are most commonly used by young, highly educated, urban-dwelling males, usually for short trips. In regard to road behavior, individuals with the lowest degrees of risk perception remain more prone to engaging in risky road behaviors likely to increase their crash involvement. This might be worsened by the lack of normative e-scooter regulations (and their enforcement) in many countries, plus the marked absence of road training processes. As common limitations, it can be mentioned that 87.5% of these studies used self-report methods, while 59.4% had local coverage.

CONCLUSIONS

The findings of this systematic review endorse the growing need to develop and enforce traffic laws and training processes for e-scooter users. In addition, road safety education and training programs are highlighted by existing studies as potentially pertinent alternatives to increase risk perception, and reduce risky behaviors, road conflicts and crash likelihood among e-scooter riders.

Occupational Traffic Accidents among Teachers in Spain

Occupational traffic accidents are a leading cause of injuries or deaths among workers. Teachers in Spain are especially concerned about the problem of commuting due to their particular labor conditions. Multiple work-related factors are associated with the risk and severity of occupational traffic-related motor vehicle crashes. The objective of this research is to analyze the influence of the variables associated with the severity of occupational traffic accidents among teachers in Spain. A logistic regression model was used for the current study. The odds ratio (OR) and confidence interval (CI) were calculated for the injured worker on a sample of 20,190 occupational traffic accidents suffered by teachers. The results showed that women, Spanish nationality, younger than 55 years, and those driving a car were more likely to suffer a light crash. In contrast, men, foreign nationalities, older than 55 years, and those riding a motorbike were more likely to suffer a serious crash. Based on these findings, motor vehicle safety training could be designed and adapted to the riskiest profiles. Additionally, effective mobility plans for commuting could help reduce work-related traffic accidents.

The effects of personality and attitude on risky driving behaviour among public van drivers: hierarchical modelling

Background

Traffic injuries have become a significant public health problem in low- and middle-income countries. Several studies have examined the role of personality and attitude toward traffic safety in predicting driving behaviors in diverse types of drivers. Few studies have investigated risky behavior among public passenger van drivers. This study aims to identify the predictors of self-reported risky driving behavior among public van drivers.

Method

A total of 410 public van drivers were interviewed at terminal stations in Bangkok. Hierarchical regression models were applied to determine the effects of demographics, personality traits, and attitude on self-reported risky driving behaviors.

Results

The results indicated that drivers with a high education level, more working days, and high scores for normlessness and anger were more likely to report risky driving behaviors (p < 0.05).

Conclusion

The personality traits and attitude toward speeding account for aberrant self-reported risky driving behavior in passenger van drivers. This could be another empirical basis for evidence-based road safety interventions in the context of public transport.

What Kind of Travellers Are Using Carsharing in Beijing? A Study Based on Selective Ensemble Learning

As a new urban travel mode, carsharing is significantly different from private cars, buses and other travel modes. Therefore, clarifying the typical characteristics of carsharing, such as individual users’ attributes, travel environment and travel behaviour, is conducive to accurately grasping the development of carsharing. In this study, a selective ensemble learning model is established to analyse typical travel characteristics of carsharing. Firstly, personal characteristics, environmental characteristics and behavioural characteristics were obtained through integrating order data, global positioning system data and station information. Then, based on a consolidated view of carsharing, different types of carsharing travel characteristics were distinguished using selective ensemble learning. Lastly, all kinds of carsharing travel are described in detail. It was identified through this research that carsharing travel can be divided into four kinds: long distance for leisure and entertainment, medium and short distances for business and commuting, a mixed category of medium and short distances for business and residence, and a mixed category of long distance for business and residence. This study can provide a theoretical reference and practical basis for precise planning and design and the scientific operation of carsharing.

Exploring the relationship of rush hour period and fatal and non-fatal crash injuries in the U.S.: A systematic review and meta-analysis

Road crashes are preventable causes of morbidity and mortality. In the U.S., substantial crashes occur during the rush hour period. The rush hour represents the period of the day during which the density of humans and vehicles in the road environment is highest. In the U.S., the rush hour period is bi-modal, occurring in the morning and the afternoon, at times that vary by state and urban-rural status. This systematic review and meta-analysis aimed to evaluate the association between the rush hour period and fatal and non-fatal crash injuries. Selected articles were limited to peer-reviewed full-text articles that measured crash injury as an outcome and rush hour as either a predictor, covariate, stratification, or a control variable. A total of 17 articles were identified for systematic review and nine articles were included in the meta-analysis. Across the selected studies, the rush-hour period signified the period of "peak traffic flow." During the rush hour period, aggressive driving behavior, truck driving, bicycle riding, and precipitation were associated with increased crash events or crash injuries. Across the nine studies included in the meta-analysis, the effective sample size was 236,433. The rush-hour period was associated with a 28% increased risk of fatal crash injury (Pooled RR: 1.28; 95% CI: 1.11-1.45) and the morning rush hour period was associated with 36% increased crash injury risk (Pooled RR: 1.36; 95% CI: 1.13-1.59). The rush hour period, though less commonly studied as a predictor of fatal and non-fatal crash injuries, represents an important domain in need of crash injury prevention attention. The knowledge of the pattern of crash injuries, as it varies across countries, states, regions, and county can inform policy and intervention, in the presence of competing public health needs.

Age, gender, personality, burnout, job characteristics and job content as predictors of driver fatigue

Objectives. Several studies have shown that one of the most common causes of collision is driver fatigue since fatigue causes drowsiness while driving and this decreases the driver's ability to maneuver the vehicle and increases the probability of their nodding off and falling asleep at the wheel. This may be due to a variety of personal reasons and specific factors connected to working conditions. In the present work we therefore intend to develop a predictive model for fatigue in professional drivers using the following indicators: age, gender, personality, burnout, characteristics and job content. Method. The participants were 516 professional drivers from different transport sectors, obtained through non-probabilistic sampling. SPSS version 25.0 was used for data analysis. Results. The predictive capacity of a number of variables that affect drivers by causing fatigue is determined. Fatigue can be predicted through certain variables, with the best predictor being exhaustion (48.8%). Conclusions. This research contributes to a greater knowledge of the factors that produce fatigue in professional drivers. It highlights the importance of designing interventions to reduce the incidence of fatigue, resulting in greater well-being for the driver and a lower incidence of collisions.

Organizational and personal factors in occupational traffic injuries at work in Spain

OBJECTIVE

Traffic crashes are one of the major causes of deaths at work. However, most of the literature on traffic crashes did not study the influence of worker and organization conditions. The current paper analyses the influence of the personal and organizational factors associated with the severity of occupational traffic crashes.

METHODS

A total of 724,596 occupational traffic crashes that occurred in Spain from 2009 to 2019 were analyzed. Men suffered 59% of crashes registered, while workers younger than 30 represented 31.3% of crashes studied. Variables included in the Official Occupational Accident Report were analyzed using logistic regression calculating odds ratios.

RESULTS

Results showed that a foreign, professional male driver from a small company who is older than 55 years was more likely to suffer a fatal crash. In contrast, a Spanish, nonprofessional female driver from a medium or big company who is younger than 30 years is more likely to suffer light consequences.

CONCLUSIONS

Findings from the current research could help to improve the safety training programmes in companies considering their personal and business variables such as age, gender, or company staff, especially in small companies. Future research should collect and analyze additional variables combining different data sources.

Variables that predict burnout in professional drivers

Objectives. Stress maintained over time leads to a state of exhaustion known as burnout syndrome. This syndrome constitutes an occupational health problem, leading to high absenteeism. It can also mean that workers come to the workplace feeling unwell, which increases occupational collisions and injuries at work. In this study, we developed a predictive model of burnout in professional drivers using the following indicators: age, hours worked, seniority, educational level, fatigue, personality, attitudes toward driving, safety behaviors in the vehicle, and work characteristics and content. Method. A total of 523 professional drivers from different transport sectors, obtained through non-probability sampling, participated in the study. We used SPSS version 25.0 to analyze the data. Results. We determined the predictive capacity of certain variables that affect drivers and cause burnout. Exhaustion can be predicted with fatigue (48.8%), professional efficiency with emotional stability (39.8%) and cynicism with lack of motivation (28%) as the best predictors. Conclusions. The results contribute to a better knowledge of those factors that cause burnout in professional drivers. It is important to design individual interventions to reduce burnout, which would help reduce sick leave and possible collisions, in addition to providing greater well-being for drivers.

Characteristics and Causes of Particularly Major Road Traffic Accidents Involving Commercial Vehicles in China

Major accidents occurred frequently in the road transportation industry, and the resulting harm to drivers, property loss, and traffic interruption are very serious. This study investigated 11 particularly major accidents involving commercial vehicles in China, and performed analysis on accident characteristics regarding the time, location, types of vehicles, and accident causation at different levels based on the 24Model. Large buses and dangerous goods vehicles were involved in 10 accidents and they all occurred on a freeway. The months from May to August, especially during the time periods of 2:00–4:00 and 14:00–16:00 every day, were the most prone to accidents. The driver’s speeding and fatigued driving, and vehicle failure were the direct causes of most of the accidents. The defects in organizational safety management involved 12 system elements, such as safety accountability, education and training, etc. Procedures are of no use if they were not followed, and there was often no effective process to assess the implementation of procedures in many organizations. The weaknesses in organizational safety culture were the source of accidents, which was mainly manifested in members’ inadequate cognition of key elements in the aspects of safety importance, safety commitment, safety management system, etc. Understanding the characteristics and root causes of accidents can help to prevent the recurrence of similar mistakes and strengthen preventative measures in road transportation enterprises.

Sleep problems are related to commuting accidents rather than to workplace accidents

Background

This study aimed to verify the relationships between sleep problems and both commuting and workplace accidents in workers of both sexes.

Methods

The study was carried out with a sample of workers (n = 2993; 50.2% female) from the Chilean Quality of Life Survey (ENCAVI) 2015–2016, while the rates of both workplace and commuting accidents were extracted from the statistics of the Superintendence of Social Security (SUSESO 2015; 180,036 and 52,629 lost-time accidents, respectively).

Results

Chilean workers sleep less than the rest of the people in the country (M_W = 7.14 vs. M_O = 7.33; t (6789) = − 5.19; p < .001), while the Chilean people as a whole sleep less compared to those of other countries (7.24 h per day). Likewise, it was found that sleep problems are more strongly related to commuting than to workplace accidents. In this vein, sleep quantity can explain 24% of the variance in commuting accidents’ rates (Stepwise Method; R² = .30, F (1.14) = 5.49, p < .05; β = −.55, p < .05), by using aggregated data with all types of commuting roles (driver of a vehicle, a passenger of public or private transport, or as a pedestrian).

Conclusions

Our findings show that sleep quantity has a more robust relationship with commuting than workplace accidents, a neglected issue so far. Future prevention programs should emphasize sleep hygiene and focus on commuting to and from work.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-10737-5.

Influence that job characteristics, personality and burnout have on fatigue in professional drivers

Objectives. Professional drivers drive for many hours without rest. This factor, in addition to the characteristics of the job, the vehicle, the environment and the driver, causes driver fatigue. Fatigue is one of the most common risk factors when driving because it causes drowsiness, decreases drivers' attention and may make them fall asleep at the wheel. In this article we propose a predictive model for professional drivers using the following variables: age, number of children, time spent at work, time spent inside the vehicle, personality, job characteristics (JDS), job content (JCQ) and burnout. Method. Participants were 509 professional drivers from various transport sectors recruited by non-probabilistic sampling. SPSS version 25.0 was used for statistical analysis. Results. The predictive capacity of variables that cause driver fatigue was determined. Exhaustion best predicts fatigue positively, while openness to experience best predicts it negatively. Burnout and certain personality characteristics are good predictors, whereas other variables, such as JCQ and JDS, are weak predictors. Conclusions. This study extends our knowledge of the factors that cause fatigue in professional drivers and underlines the importance of designing interventions aimed at reducing the incidence of fatigue, promoting greater driver well-being and lowering the incidence of accidents.

The Effects of Cognitive and Visual Functions of Korean Elderly Taxi Drivers on Safe Driving Behavior

Purpose

In this study, we investigated the effect of visual and cognitive functions of elderly taxi drivers on safe driving behavior. We aimed to identify factors that interfere with safe driving in an aging Korean society in elderly taxi drivers.

Participants and Methods

A total of 203 elderly taxi drivers, aged >65, working at 3 companies in a single city were assessed over 4 weeks from December 1 to December 30, 2017, using the Motor-Free Visual Perception Test, Korean Montreal Cognitive Assessment, and Korean Safe Driving Behavior Measure. To examine the effects of cognitive and visual functions on driving behavior, we performed a stepwise multiple linear regression analysis (p<0.05).

Results

All 4 subdomains of safe driving behaviors were significantly correlated with the cognitive subdomains of attention and abstraction and the visual perception subdomains of visual closure 1 and figure-ground.

Conclusion

More systematic assessments of the relationship between driving behavior and cognitive and visual function in elderly individuals are needed.

Multidimensional prediction of work traffic crashes among Spanish professional drivers in cargo and passenger transportation

The aim of this study was to examine the effect of different environmental, mechanical and individual factors associated with fatalities and serious injuries caused by work traffic accidents among cargo and passenger transport drivers (CPTD) in Spain. For this cross-sectional study, national data on work traffic accidents collected in Spain during the last 3 years were analyzed through a regression modeling approach, in order to predict the severity of traffic crashes involving CPTD. Using binary logistic regression analyses, it was found that the type of road and accident, the meteorological, light and vehicle conditions, individual characteristics and risky driving behaviors significantly predict the risk of fatal work traffic accidents and serious injuries. These findings highlight the importance of combining organizational efforts with national road safety policies in order to generate a traffic safety culture among CPTD.

Walking against or with traffic? Evaluating pedestrian fatalities and head injuries in Taiwan

BACKGROUND

Allowing contraflow cycling on one-way streets has been reported to reduce crash risks in Belgium and the United Kingdom. Similarly, walking against traffic on roadways without sidewalks substantially improves pedestrian safety. This study examined fatalities and head injuries sustained by pedestrians in against-traffic and with-traffic crashes.

METHODS

Using police-reported crash data in Taiwan between 2011 and 2016, fatalities and head injuries were compared for pedestrians involved in against-traffic and with-traffic crashes.

RESULTS

Of the 14,382 pedestrians involved in crashes, 10,749 and 3633 pedestrians in with-traffic and against-traffic crashes, respectively, were reported. Compared with pedestrians involved in against-traffic crashes, those in with-traffic crashes were more likely to sustain fatalities and head injuries. Results of logistic regression models revealed several influential factors on pedestrian fatalities and head injuries, including elderly pedestrians, male drivers, intoxicated drivers, rural roadways, unlit streets in darkness, limited sight distance, adverse weather conditions, midnight hours, and a heavy vehicle as the crash partner.

CONCLUSIONS

Pedestrians in with-traffic crashes were more likely to sustain fatalities and head injuries compared with those in against-traffic crashes. Furthermore, the negative effect of walking with traffic on injuries was more pronounced in reduced-visibility conditions.