Evaluation for Fatigue and Accident Risk of Korean Commercial Bus Drivers

Predicting Fatigue-Associated Aberrant Driving Behaviors Using a Dynamic Weighted Moving Average Model With a Long Short-Term Memory Network Based on Heart Rate Variability

OBJECTIVE

This study proposed a moving average (MA) approach to dynamically process heart rate variability (HRV) and developed aberrant driving behavior (ADB) prediction models by using long short-term memory (LSTM) networks.

BACKGROUND

Fatigue-associated ADBs have traffic safety implications. Numerous models to predict such acts based on physiological responses have been developed but are still in embryonic stages.

METHOD

This study recorded the data of 20 commercial bus drivers during their routine tasks on four consecutive days and subsequently asked them to complete questionnaires, including subjective sleep quality, driver behavior questionnaire and the Karolinska Sleepiness Scale. Driving behaviors and corresponding HRV were determined using a navigational mobile application and a wristwatch. The dynamic-weighted MA (DWMA) and exponential-weighted MA were used to process HRV in 5-min intervals. The data were independently separated for training and testing. Models were trained with 10-fold cross-validation strategy, their accuracies were evaluated, and Shapley additive explanation (SHAP) values were used to determine feature importance.

RESULTS

Significant increases in the standard deviation of NN intervals (SDNN), root mean square of successive heartbeat interval differences (RMSSD), and normalized spectrum of high frequency (nHF) were observed in the pre-event stage. The DWMA-based model exhibited the highest accuracy for both driver types (urban: 84.41%; highway: 80.56%). The SDNN, RMSSD, and nHF demonstrated relatively high SHAP values.

CONCLUSION

HRV metrics can serve as indicators of mental fatigue. DWMA-based LSTM could predict the occurrence of the level of fatigue associated with ADBs.

APPLICATION

The established models can be used in realistic driving scenarios.

Healthy Bus Drivers, Sustainable Public Transport: A Three-Time Repeated Cross-Sectional Study in Switzerland

Objectives: To study the change in the prevalence of bus drivers' health outcomes between 2010 and 2022 and their relationship with working conditions. Method: Unionized bus drivers completed a self-administered questionnaire in 2010, 2018, and 2022 on 13 health outcomes, sick leaves, and accidents and working conditions and their change during SARS-CoV-2 crisis. For outcomes which prevalence increased since 2010, we performed logistic regression models adjusted for covariates. Results: The study sample included 772 participants in 2010, 393 in 2018, and 916 in 2022. The most prevalent health problem (≥50%) was shoulder or neck muscle pain. The most tedious working conditions were working days over 10 h. Shoulder or neck pain, sleep disorders, sick leaves, and accidents increased since 2010 and were associated with working conditions, and co-morbidity. The SARS-CoV-2 pandemic had additional negative consequences. Conclusion: Most bus drivers' working and health conditions worsened in the last 12 years. Given the study design, the results deserve a cautious interpretation and generalization. Cohort studies should confirm these results and inform interventions targeting the most tedious and harmful working conditions.

The mediating role of workplace spirituality between personal attributes and job performances of Indian bus drivers

Purpose

Transport industry is one of the leading accident causing industries all around the world. Personal attributes like educational qualification, work experience, marital status, consumption of alcohol, hours of work of bus drivers are known to influence such accidents. In the present study, the mediating effects of Workplace spirituality (WS) among bus drivers between the personal attributes and job performance variables like self-reported accidents, punishments and appraisals are carried out.

Design/methodology/approach

A mediation analysis of WS between personal attributes and job performances of bus drivers is conducted in the present study. Since there is scarcity of studies measuring the effects of WS of bus drivers, new scale to measure WS was developed. The study was carried out in the government-owned road transport corporation in the state of Kerala, India. Responses were obtained from 617 male drivers.

Findings

Using exploratory factor analysis, four factors were identified, namely Meaningful work, Sense of Community, Mindfulness and Compassion. Confirmatory factory analysis provided good fit. The intercorrelations of personal attributes of drivers (independent variables) between WS factors (mediating variables) and job performance variables (dependent variables) were found out. Mediation analysis showed complete mediation of WS factors between marital status, alcohol consumption, hours of work and job performances like number of self-reported accidents, punishments and appraisals. The WS levels of drivers decrease significantly as working hours per goes beyond the legally allowed working hours.

Originality/value

Psychological attributes like Mindfulness, Sense of community, compassion etc. which are collectively known as WS influence the job performances of employees in other industries. Yet it is not studied in the transport industry. Hence, in the present study, the levels of WS are studied among bus drivers of government-owned road transport corporation in the State of Kerala, India.

Causal analysis of coach and bus accidents in China based on road alignments

Given the complexity and the difficulty of controlling contributors effectively, road passenger transport often results in serious injuries and fatalities. The purpose of this study is to identify the main contributors to coach and bus accidents and to provide policy recommendations for making improvements in accident prevention. The Driving Reliability and Error Analysis Method 3.0 (DREAM 3.0) was modified and used to analyze the contributing factors (i.e. phenotypes and genotypes in DREAM) and their casual mechanisms. By having statistical analysis and social network analysis (SNA) adopted, the main genotypes and phenotypes of the DREAM charts were identified. The results of the study showed that A2.1 (too high speed) was the key phenotype and the main genotypic process chain leading to the phenotype was "inadequate safety management → inadequate training → inadequate skills/knowledge → misjudgment of the situation → too high speed" on all types of road. For A2.1 (too high speed), C2 (misjudgment of the situation) was the dominant genotype, while N5 (inadequate safety management) was the root cause of most genotypes. This suggests that road passenger transport companies, as the responsible parties, often fail to implement or violate safety prevention and control systems. Government regulators should promote the policy system and incentivize them to fulfil their safety management responsibilities. The government should also educate the public and improve the road environment to reduce passenger-related risks and the impact of environmental factors on drivers.

Applying systems thinking to improve the safety of work-related drivers: A systematic review of the literature

INTRODUCTION

Light vehicles (<4.5 tons) driven for work purposes represent a significant proportion of the registered motor vehicles on our roads. Drivers of these vehicles have significant exposure to the dangers of the road transport environment. To optimize safety for these workers, it is critical to understand the factors contributing to risk of being involved in an incident. This information can then be used to inform the review and revision of existing risk controls and the development of targeted prevention activities.

METHOD

The aim of the study was to undertake a systematic review of the literature to identify the factors associated with work-related driving incidents. The factors identified in the review were represented within an adapted version of Rasmussen's risk management framework (Rasmussen, 1997). Fifty studies were analyzed following data screening and review of full text. The highest proportion of risk factors were categorized at the lower levels of the system, including the 'Drivers and Other Road Users' level (n = 20, 44.4%) and the 'Equipment, Environment, and Meteorological Surroundings' level (n = 19, 42.2%). There were no risk factors identified at the 'Regulatory and Government Bodies' levels of the framework, confirming the narrow investigative scope of past research and the need to acknowledge a broader range of factors within and across higher levels of the system.

CONCLUSIONS

The findings of this study inform the direction of future research and design of targeted prevention activities capable of creating system change for the safety of work-related drivers.

Research gaps and needs for preventing worker fatigue in the transportation and utilities industries

BACKGROUND

The transportation and utilities industries include establishments engaged in the movement of passengers and freight, or the provision of public power, water, and other services. Along with the warehousing industry, they make up the US National Occupational Research Agenda's Transportation, Warehousing and Utilities (TWU) industry sector. In 2018 the sector composed 5% of the US workforce, with approximately 8 million workers. TWU workers experienced 19% of all fatalities among U.S. workers in 2018 and 7% of total occupational injuries and illnesses.

METHODS

Around-the-clock operations, heavy workloads, long and irregular shifts, complicated schedules, and time pressures characterize work across the US TWU sector. However, there are considerable differences in worker priorities and concerns between TWU industries. Major areas of concern within the sector include disparities in work schedules; required training for employee fatigue awareness and prevention; physical and mental job demands; and safety culture.

RESULTS

Strategies for fatigue mitigation are critical to reduce the prevalence of injuries, safety-critical events, and crashes in TWU workers. Further research on the incidence and characterization of fatigue among TWU workers will guide the development of effective mitigation strategies. The influence of work scheduling on missed sleep opportunities and disrupted circadian rhythms should be determined. Evaluation of fatigue mitigation strategies can lead to the adoption of the most effective ones for each TWU industry.

CONCLUSION

Implementation of effective strategies is critical for the health, safety, wellbeing, and productivity of workers in the TWU sector.

How Is Work Ability Shaped in Groups of Shift and Non-Shift Workers? A Comprehensive Approach to Job Resources and Mediation Role of Emotions at Work

There is much less research on the relationship between shift work and positive states experienced in the workplace, e.g., emotions and work ability. Using the job demands-resources model, conservation of resources theory and the broaden-and-build theory as theoretical frameworks, the direct and indirect (mediated via positive and negative emotions) relations between the complex of job resources and work ability were tested in the group of shift and non-shift workers. Three types of resources related to task, leadership and interpersonal relations were taken into account. Data were collected among 1510 workers. Structural equation modelling (SEM) showed that only leadership was directly related to high work ability in both occupational groups. Indirect effects of positive and negative emotions were strongly supported. Both of them mediate the effects of the three analysed job resources on work ability, but individual job resources impacted were different. Leadership resources led to "good" work ability by the intensification of positive and reduction of negative emotions. Interpersonal resources decrease negative emotions. Task resources, conversely, intensified positive emotions, which in turn increased work ability. These research results shed more light on the ways of shaping work ability among shift and non-shift workers.

Condiciones laborales, salud y calidad de vida en conductores

Objetivo: Conocer las condiciones laborales, salud y calidad de vida de los trabajadores que se dedican al rubro de la conducción. Materiales y Métodos: Se realizó revisión integrativa en las bases de datos Medline/PUBMED, BVS, WEB OF SCIENCE, SCOPUS, referente a artículos publicados desde el año 2010 a 2019, en relación a la temática de salud, condiciones laborales y calidad de vida de trabajadores que se desempeñan en el área de la conducción, siguiendo los lineamientos planteados según Ganong. Resultados: 29 estudios cumplieron con los criterios seleccionados, los cuales fueron realizados en población trabajadora del ámbito de locomoción colectiva como buses, taxis, motocicletas y en el área de transportes, como camiones. Discusión: La realidad que experimentan estos trabajadores crea consciencia y abre un espacio para implementar políticas de salud que busquen su bienestar, y a la vez es una puerta de entrada a crear conocimiento sobre la necesidad de estudiar a este grupo poblacional. Conclusiones: La calidad de vida y las condiciones laborales de estos conductores, en su mayoría es deficiente y esto los afecta de manera negativa en distintos ámbitos. Por otra parte, la salud de este grupo de trabajadores se ve perjudicada por las condiciones en el trabajo que muchos de ellos puedan tener, así mismo la mayoría carece de buenas prácticas de salud, teniendo hábitos poco saludables, que se relacionan directamente con la labor que realizan. Como citar este artículo: Sepúlveda Guerra Elena Belén,  Valenzuela Suazo Sandra Verónica, Rodríguez Campo Varinia Alejandra. Condiciones laborales, salud y calidad de vida en conductores. Revista Cuidarte. 2020; 11(2): e1083. http://dx.doi.org/10.15649/cuidarte.1083