Distraction 'on the buses': a novel framework of ergonomics methods for identifying sources and effects of bus driver distraction

Sociotechnical Factors Supporting Mobile Phone Use by Bus Drivers

OCCUPATIONAL APPLICATIONSResults of a survey of drivers working for two bus companies in Norway suggest that 20% of drivers sometimes use a mobile phone while driving, even though it is not permitted. Sociotechnical analysis of the system surrounding drivers at one of the companies elicited ways in which social and technical factors combined to support mobile phone use by bus drivers. These factors were arranged under four themes: increased societal dependence on technology; developments in bus driver culture; the need for bus drivers to resolve conflicting goals; and a lack of belief in adverse consequences of using mobile phone while driving. Our findings (i) support claims that driver-centered analyses of mobile phone use or other traffic safety challenges are an insufficient basis for the development of measures and should be supplemented by sociotechnical analyses; and (ii) can inspire the design of more comprehensive measures to help reduce mobile phone use and road safety risks.

Behind the Wheel: Systematic Review of Factors Associated with Safe School Bus Transportation for Children with Neurodevelopmental Disorders

School buses facilitate access to education for many children. This research aimed to systematically review factors associated with safe school bus transportation for children with neurodevelopmental disorders (NDDs). Searches of 5 databases, combining terms denoting NDDs and school buses, for English publications since 2000, yielded only 12 relevant articles among 1524 records. Literature was limited to parent-based studies, guidelines, reviews or commentaries. There was scant attention to the immediate roles of bus drivers and aides. Literature recommendations included increased attention to the needs of children with NDDs and improved communication, collaboration, support and training across all key stakeholders, particularly to improve implementation of individual child safety plans. Further research is needed on this critical support service for many families.

Threats and violence towards urban bus drivers in Sweden’: Drivers experiences and general recommendations to prevent violence and threats

BACKGROUND: Approximately 30% of Swedish urban bus drivers report having been exposed to threats or violence. As 50% of drivers have voiced concerns about the occurrences, threats and violence also represent contributing factors to driver stress and fatigue. OBJECTIVE: The aim of this study was to explore bus drivers’ experience of threats and violence; how threats and violence manifests and how the problem is handled by drivers. Gaining understanding of the circumstances is important to reduce the number of threats and violent incidents to provide healthy and attractive working conditions for drivers. METHODS: This study is based on in-depth interviews with 12 urban bus drivers in the City of Malmö in Sweden. RESULTS: Urban bus drivers experience threats daily from passengers, although physical violence occurs less often. The most common situations resulting in threats involve asking passengers to show valid tickets, denying child carriages onboard and running late to a bus stop. The drivers have not received clear guidelines as to strategic handling of the invalid ticket situation. CONCLUSIONS: Recommendations include a clear policy and consensus with regard to handling invalid tickets, providing drivers with guidelines for appropriate procedures for passengers refusing to pay, improving reporting routines and establishing a strategy for the Public Transportation provider and operator to follow with regard to reports, in-vehicle surveillance cameras including informing passengers that they are being video recorded as well as harmonizing the location of alarm buttons on buses.

Driving Accidents, Driving Violations, Symptoms of Attention-Deficit-Hyperactivity (ADHD) and Attentional Network Tasks

Background: Iran has serious problems with traffic-related injuries and death. A major reason for traffic accidents is cognitive failure due to deficits in attention. In this study, we investigated the associations between traffic violations, traffic accidents, symptoms of attention-deficit/hyperactivity disorder (ADHD), age, and on an attentional network task in a sample of Iranian adults. Methods: A total of 274 participants (mean age: 31.37 years; 80.7% males) completed questionnaires covering demographic information, driving violations, traffic accidents, and symptoms of ADHD. In addition, they underwent an objective attentional network task (ANT), based on Posner’s concept of attentional networks. Results: More frequent traffic violations, correlated with lower age and poorer performance on the attentional network tasks. Higher symptoms of ADHD were associated with more accidents and more traffic violations, but not with the performance of the attentional tasks. Higher ADHD scores, a poorer performance on attentional network tasks, and younger age predicted traffic violations. Only higher symptoms of ADHD predicted more traffic accidents. Conclusions: In a sample of Iranian drivers, self-rated symptoms of ADHD appeared to be associated with traffic violations and accidents, while symptoms of ADHD were unrelated to objectively assessed performance on an attentional network task. Poor attentional network performance was a significant predictor of traffic violations but not of accidents. To increase traffic safety, both symptoms of ADHD and attentional network performance appear to merit particular attention.

Modeling of passengers' safety perception for buses on mountainous roads

This study had developed a passenger safety perception model specifically for buses taking into consideration the various factors, namely driver characteristics, environmental conditions, and bus characteristics using Bayesian Network. The behaviour of bus driver is observed through the bus motion profile, measured in longitudinal, lateral, and vertical accelerations. The road geometry is recorded using GPS and is computed with the aid of the Google map while the perceived bus safety is rated by the passengers in the bus in real time. A total of 13 variables were derived and used in the model development. The developed Bayesian Network model shows that the type of bus and the experience of the driver on the investigated route could have an influence on passenger's perception of their safety on buses. Road geometry is an indirect influencing factor through the driver's behavior. The findings of this model are useful for the authorities to structure an effective strategy to improve the level of perceived bus safety. A high level of bus safety will definitely boost passenger usage confidence which will subsequently increase ridership.

Testing the effects of safety climate and disruptive children behavior on school bus drivers performance: A multilevel model

The study was designed to test a multilevel path model whose variables exert opposing effects on school bus drivers' performance. Whereas departmental safety climate was expected to improve driving safety, the opposite was true for in-vehicle disruptive children behavior. The driving safety path in this model consists of increasing risk-taking practices starting with safety shortcuts leading to rule violations and to near-miss events. The study used a sample of 474 school bus drivers in rural areas, driving children to school and school-related activities. Newly developed scales for measuring predictor, mediator and outcome variables were validated with video data taken from inner and outer cameras, which were installed in 29 buses. Results partially supported the model by indicating that group-level safety climate and individual-level children distraction exerted opposite effects on the driving safety path. Furthermore, as hypothesized, children disruption moderated the strength of the safety rule violation-near miss relationship, resulting in greater strength under high disruptiveness. At the same time, the hypothesized interaction between the two predictor variables was not supported. Theoretical and practical implications for studying safety climate in general and distracted driving in particular for professional drivers are discussed.

Occupational safety conditions of bus drivers in Metro Manila, the Philippines

The study looks into the occupational safety and working conditions among bus drivers in Metro Manila, the Philippines. Quantitative data were collected through survey interviews of 95 bus drivers using the stratified sampling technique. Results showed that bus drivers worked an average of 16 h/day and were engaged in risky driving behaviors such as over-speeding and road racing in order to reach their quota for the day. Fifty-nine percent experienced work-related accidents, with a mean of three accidents. The most common accident was hitting another vehicle followed by side swipe. The accidents were blamed on other drivers, followed by vehicle defect, inattentiveness and tiredness/micro-sleep or sudden involuntary sleep while driving. The most common health symptoms experienced by the bus drivers were fatigue, back pain, and cough and colds. This study underlines the need for an occupational health and safety program for bus drivers in the Philippines.

Risk factors affecting fatal bus accident severity: Their impact on different types of bus drivers

While the bus is generally considered to be a relatively safe means of transportation, the property losses and casualties caused by bus accidents, especially fatal ones, are far from negligible. The reasons for a driver to incur fatalities are different in each case, and it is essential to discover the underlying risk factors of bus fatality severity for different types of drivers in order to improve bus safety. The current study investigates the underlying risk factors of fatal bus accident severity to different types of drivers in the U.S. by estimating an ordered logistic model. Data for the analysis are retrieved from the Buses Involved in Fatal Accidents (BIFA) database from the USA for the years 2006-2010. Accidents are divided into three levels by counting their equivalent fatalities, and the drivers are classified into three clusters by the K-means cluster analysis. The analysis shows that some risk factors have the same impact on different types of drivers, they are: (a) season; (b) day of week; (c) time period; (d) number of vehicles involved; (e) land use; (f) manner of collision; (g) speed limit; (h) snow or ice surface condition; (i) school bus; (j) bus type and seating capacity; (k) driver's age; (l) driver's gender; (m) risky behaviors; and (n) restraint system. Results also show that some risk factors only have impact on the "young and elder drivers with history of traffic violations", they are: (a) section type; (b) number of lanes per direction; (c) roadway profile; (d) wet road surface; and (e) cyclist-bus accident. Notably, history of traffic violations has different impact on different types of bus drivers.

Measuring job quality: a study with bus drivers

There is growing interest in the contribution which job design can make to worker health; also a desire to better understand the multidimensional notion of 'job quality' and to develop approaches to measuring this. This paper reviews concepts of 'job quality' and 'good jobs' and examines these issues in the work of bus drivers, an occupational group commonly reported as having poor health and poor working conditions. The DGB-Index (Deutscher Gewerkschaftsbund Good Work Index), a tool used recently in Germany for measuring job quality, was translated and administered to a sample of UK bus drivers (n = 381). It found job quality to be significantly lower than that for a group of non-drivers in the same organisation; and better than that for a sample of German bus drivers. We conclude that the DGB-Index is an effective tool for measuring job quality and providing feedback to employers; and could be used to compare job quality between organisations or internationally.

Cardiovascular disease risk of bus drivers in a city of Korea

Objective

To prevent the occurrence of CV events such as MI and stroke among professional drivers in Korea, bus drivers were compared to other occupations through the Framingham risk scoring system (FRS) or metabolic syndrome (MS) of cardiovascular disease (CVD) risk assessment methods.

Methods

In October 2012, a health examination survey was conducted for 443 male bus drivers in a big city. Their CVD risk factors were compared to those of a ‘total employed’ (A group) and ‘crafts and machine operators’ (B group) extracted from Fifth Korea National Health and Nutrition Examination Survey (KNHANES, 2010) data by using FRS and MS. We calculated proportions of the CVD risk factors distribution between bus drivers and the A, B groups by the bootstrapping method. The Odds ratio (OR) between CV event risk combining MS with CHD equivalent risk of FRS and occupational factors like shift patterns and professional driving duration/age ratios (PDAR) of bus drivers was calculated through multinominal logistic regression.

Results

The proportion of BMI ≥ 25 kg/m² was 53.9% and waist circumference ≥ 90cm was 40.9% among bus drivers. Hypertension and MS prevalence of bus drivers was 53.3%, 49.9% which is higher than 17.6%, 22.6% in the A group and 19.7%, 23.8% in the B group respectively. OR of high CV event risk in alternate shift was 2.58 (95% CI 1.33~5.00) in comparison with double shift pattern and OR in PDAR ≥ 0.5 was 2.18 (95% CI 1.15~4.14).

Conclusion

Middle aged male drivers in a big city of Korea stand a higher chance of developing CV event than other professions of the same age.

The smooth (tractor) operator: insights of knowledge engineering

The design of and training for complex systems requires in-depth understanding of task demands imposed on users. In this project, we used the knowledge engineering approach (Bowles et al., 2004) to assess the task of mowing in a citrus grove. Knowledge engineering is divided into four phases: (1) Establish goals. We defined specific goals based on the stakeholders involved. The main goal was to identify operator demands to support improvement of the system. (2) Create a working model of the system. We reviewed product literature, analyzed the system, and conducted expert interviews. (3) Extract knowledge. We interviewed tractor operators to understand their knowledge base. (4) Structure knowledge. We analyzed and organized operator knowledge to inform project goals. We categorized the information and developed diagrams to display the knowledge effectively. This project illustrates the benefits of knowledge engineering as a qualitative research method to inform technology design and training.