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How fatigued are safety-critical railroad employees such as Train and Engine (T&E) workers, passenger T&E workers, signalmen, Maintenance of Way (MOW) workers and dispatchers, and how does their level of fatigue affect the safety of railroad operations? Are statutory or regulatory limitations on hours of work sufficient to prevent worker fatigue? Fatigue is largely a function of sleep and circadian rhythms. Sleep, in turn, is a function of work schedules. Work duration, the time of day (TOD) of work, and schedule variability are aspects of work schedules that determine when sleep can occur. Fatigue exposure is determined largely by work schedules, and fatigue exposure determines fatigue risk and the probability of human factor accidents. This book draws on the results of several prior studies, all conducted with similar methodology, to characterise the prevalence of employee fatigue in the U.S. railroad industry. Data from logbook surveys of signalmen, maintenance of way workers, dispatchers, and train and engine service employees were combined to examine the relationship between work schedules and sleep patterns.
How fatigued are safety-critical railroad employees such as Train and Engine (T&E) workers, passenger T&E workers, signalmen, Maintenance of Way (MOW) workers and dispatchers, and how does their level of fatigue affect the safety of railroad operations? Are statutory or regulatory limitations on hours of work sufficient to prevent worker fatigue? Fatigue is largely a function of sleep and circadian rhythms. Sleep, in turn, is a function of work schedules. Work duration, the time of day (TOD) of work, and schedule variability are aspects of work schedules that determine when sleep can occur. Fatigue exposure is determined largely by work schedules, and fatigue exposure determines fatigue risk and the probability of human factor accidents. This book draws on the results of several prior studies, all conducted with similar methodology, to characterize the prevalence of employee fatigue in the U.S. railroad industry. Data from logbook surveys of signalmen, maintenance of way workers, dispatchers, and train and engine service employees were combined to examine the relationship between work schedules and sleep patterns.
In the world of transportation, fatigue is a silent killer that can affect us all. Understanding fatigue, including how to manage it to minimize safety risk, is of great importance. However, while it is one thing to recognize that fatigue is a critical safety issue, it is quite another to set up a successful, scientifically informed fatigue risk management programme. This book is here to help. It has been carefully designed as a comprehensive reference point, bringing together international expertise from leaders in fatigue science, and showcasing valuable insights from transportation industry practitioners. The 40 authored chapters are divided into six sections, to better understand fatigue science, the consequences of fatigue in transportation, contributors to fatigue, managing fatigue and promoting alertness, real world case studies of fatigue management in practice, and future perspectives. While it is possible to read each chapter in isolation, most will be gained by reading the book as a whole. Each chapter starts with an abstract overview and concludes with summary bullet points, creating a handy "quick check" for key points. This accessible text is for those who are interested in supporting alert and safe transportation operations. It is suitable for professionals, transport managers, government advisors, policy makers, students, academics, and anyone who wants to learn more. All transport modes (road, rail, maritime and aviation) are considered. For anyone waking up to the complex challenge of fatigue management, this handbook is a must.
GAO-11-853. The Rail Safety Improvement Act of 2008 (RSIA) overhauled requirements for how much time certain freight railroad workers can spend on the job (called "hours of service"). Changes included limiting the number of consecutive days on duty before rest is required, increasing minimum rest time from 8 to 10 hours, and requiring rest time to be undisturbed. RSIA also provided for pilot projects and waivers. RSIA's changes became effective for freight railroads in July 2009. GAO was asked to assess (1) the impact of these changes on covered train and engine (T&E) employees, including implications for fatigue, (2) the impact of the changes on the rail industry, and (3) actions the Federal Railroad Administration (FRA) has taken to oversee compliance with hours of service requirements and implement RSIA provisions for pilot projects and waivers. To perform this work, GAO analyzed covered employee work schedules and used models to assess fatigue, surveyed the railroad industry, analyzed FRA inspection and enforcement data, and interviewed federal and railroad officials as well as fatigue and sleep experts. According to GAO's analysis of covered employee work schedules, RSIA's requirements led to changed work schedules, increased rest time, and reduced risk of fatigue for covered T&E employees. RSIA's consecutive work day limits and rest requirements contributed to work schedule changes and increases in rest time. Increased rest time also led to equivalent decreases in the hours that covered employees worked. Overall, GAO found, using an FRA-validated fatigue model, that the time covered employees spent working at a high risk of fatigue-- a level associated with reduced alertness and an increased risk of errors and accidents--decreased by about 29 percent for employees of class I railroads (those with the largest revenues) and by about 36 percent for employees of selected class II railroads (those with smaller revenues). GAO's analysis also shows that there are further opportunities to reduce fatigue risk. Specifically, RSIA's changes did not result in material decreases in night work, yet scientific literature and GAO's analysis show night work represents a major factor in fatigue risk. As might be expected from changes aimed at improving safety by reducing covered employee fatigue, the railroad industry reported that RSIA's hours of service changes had operational and administrative effects on it, some of which increased some railroads' one-time or ongoing costs. GAO did not determine how RSIA's changes affected railroads' earnings; but the act took effect as the economy was starting to recover from the recession that began in late 2008. Through its industry survey and interviews, GAO found that RSIA's changes affected railroad operations, including changes to crew and train schedules and increases in staffing levels. Railroad officials GAO spoke with attributed these changes to RSIA's consecutive work day limits and rest requirements, both of which acted to reduce people's availability to work. To maintain operations while complying with the law, railroad officials told GAO they, among other things, hired new employees or brought employees back from furlough. GAO estimated that adding people--120 to 500 each by some class I railroads--increased these railroads' annual costs by $11 million to $50 million. Administrative effects reported by railroads included a need for railroads to revise their hours of service timekeeping systems.
There are approximately 4,000 fatalities in crashes involving trucks and buses in the United States each year. Though estimates are wide-ranging, possibly 10 to 20 percent of these crashes might have involved fatigued drivers. The stresses associated with their particular jobs (irregular schedules, etc.) and the lifestyle that many truck and bus drivers lead, puts them at substantial risk for insufficient sleep and for developing short- and long-term health problems. Commercial Motor Vehicle Driver Fatigue, Long-Term Health and Highway Safety assesses the state of knowledge about the relationship of such factors as hours of driving, hours on duty, and periods of rest to the fatigue experienced by truck and bus drivers while driving and the implications for the safe operation of their vehicles. This report evaluates the relationship of these factors to drivers' health over the longer term, and identifies improvements in data and research methods that can lead to better understanding in both areas.