Human Reliability And Error In Transportation Systems

Human errors contribute significantly to most transportation crashes: approximately 70 to 90 percent of crashes are the result of human error. This book examines human reliability across all types of transportation systems. The material is accessible to readers with no previous knowledge in the field and is supported with a full explanation of the necessary mathematical concepts together with numerous examples and test problems.

During day-to-day use, thousands of lives are lost each year due to accidents, directly or indirectly, resulting from poor transportation system reliability and safety. In the United States, automobile accidents alone result in around 42,000 deaths per year, costing billions of dollars to the economy each year. A common subject in journal articles

In an approach that combines coverage of safety and human error into a single volume, Safety and Human Error in Engineering Systems eliminates the need to consult many different and diverse sources for those who need information about both topics. The book begins with an introduction to aspects of safety and human error and a discussion of mathematical concepts that builds understanding of the material presented in subsequent chapters. The author describes the methods that can be used to perform safety and human error analysis in engineering systems and includes examples, along with their solutions, as well as problems to test reader comprehension. He presents a total of ten methods considered useful for performing safety and human error analysis in engineering systems. The book also covers safety and human error transportation systems, medical systems, and mining equipment as well as robots and software. Nowadays, engineering systems are an important element of the world economy as each year billions of dollars are spent to develop, manufacture, and operate various types of engineering systems around the globe. A rise in accidental deaths has put the spotlight on the role human error plays in the safety and failure of these systems. Written by an expert in various aspects of healthcare, engineering management, design, reliability, safety, and quality, this book provides tools and techniques for improving engineering systems with respect to human error and safety.

Human Reliability: With Human Factors focuses on human reliability during system design. The book is organized into 13 chapters, wherein Chapter 1 presents histories of human factors and human reliability along with selective terms and definitions. Chapter 2 shows basic reliability mathematics and concepts. Subsequent chapters then elaborate on human reliability, human errors, six human reliability analysis methods, and reliability evaluation of systems with human errors. Other chapters elucidate human factors in maintenance and maintainability; human safety; human reliability data; and human factors in quality control, design, mathematical models, and formulas. Applications of human factors engineering are also addressed. The text will be valuable to human factor engineers and specialists, reliability and maintainability specialists, system and design engineers, industrial engineers, quality control engineers, and students.

This book brings together studies broadly dealing with human error from different disciplines and perspectives. They concern human performance; human variability and reliability analysis; medical, driver and pilot error, as well as automation error; reports on root cause analyses; and the cognitive modeling of human error. In addition, they highlight cutting-edge applications in safety management, defense, security, transportation, process controls, and medicine, as well as more traditional fields of application. Based on the AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, held on July 17–21, 2017 in Los Angeles, California, USA, the book includes experimental papers, original reviews, and reports on case studies, as well as meta-analyses, technical guidelines, best practice and methodological papers. It offers a timely reference guide for researchers and practitioners dealing with human error in a diverse range of fields. “p>

This book represents the porceedings of the 1989 Safety and Reliability Society Symposium held in Bath on the 11th and 12th of October on that topic.

The objectives of Human Reliability are to build reliability into the job, into the machine, and into the environment, and to let man perform naturally. In this book the author shows how these objectives can be achieved by concentrating on human reliability issues during the design stage. This is done by illustrating the relationships between various design features and some aspect of human performance, e.g. human errors.The book is designed as a practical guide to the daily performance of tasks in Human Reliability as well as a general reference and tutorial introduction to the field. It is therefore both practical and theoretical: the first four chapters focus on principles and ramifications relevant to human error prevention; the latter four are primarily concerned with human reliability analysis and prediction methodology. Throughout the book there are extensive references, numerous ready-to-use recommendations, formulas and mathematical models, and computer programs for human reliability work for analyzing, predicting and preventing human errors in a variety of situations. Though some of the material requires undergraduate training in engineering, the more difficult mathematical expositions can be omitted without loss of continuity, but are available for the reader who needs a more complete understanding of the relevant theory.

This book brings together studies broadly addressing human error from different disciplines and perspectives. It discusses topics such as human performance; human variability and reliability analysis; medical, driver and pilot error, as well as automation error; root cause analyses; and the cognitive modeling of human error. In addition, it highlights cutting-edge applications in safety management, defense, security, transportation, process controls, and medicine, as well as more traditional fields of application. Based on the AHFE 2018 International Conference on Human Error, Reliability, Resilience, and Performance, held on July 21–25, 2018, in Orlando, Florida, USA, the book includes experimental papers, original reviews, and reports on case studies, as well as meta-analyses, technical guidelines, best practice and methodological papers. It offers a timely reference guide for researchers and practitioners dealing with human error in a diverse range of fields.

Safety and Reliability Modeling and Its Applications combines work by leading researchers in engineering, statistics and mathematics who provide innovative methods and solutions for this fast-moving field. Safety and reliability analysis is one of the most multidimensional topics in engineering today. Its rapid development has created many opportunities and challenges for both industrialists and academics, while also completely changing the global design and systems engineering environment. As more modeling tasks can now be undertaken within a computer environment using simulation and virtual reality technologies, this book helps readers understand the number and variety of research studies focusing on this important topic. The book addresses these important recent developments, presenting new theoretical issues that were not previously presented in the literature, along with solutions to important practical problems and case studies that illustrate how to apply the methodology. Uses case studies from industry practice to explain innovative solutions to real world safety and reliability problems Addresses the full interdisciplinary range of topics that influence this complex field Provides brief introductions to important concepts, including stochastic reliability and Bayesian methods

The advancements in decision sciences theory and applications can be regarded as a continuously emerging field in all areas of interest including technology, industry, energy, healthcare, education, agriculture, social sciences, and more. Managers in all disciplines face an endless list of complex issues every day. One of the essential managerial skills is the ability to allocate and utilize limited resources appropriately in the efforts of achieving optimal performance efficiently. This is no less important for those who work in the transportation sector. The Handbook of Research on Decision Sciences and Applications in the Transportation Sector explores the importance of decision sciences and the ways in which they apply to the transportation sector. This book covers technologies and tools including machine learning, mathematical modeling, and simulation and their applications in such tasks as reducing fuel costs, improving passenger flow, and ensuring vehicle safety. It is an essential reference source for managers, professionals in the transport industry, supply chain specialists, safety officers, IT consultants, executives, practitioners, scientists, students, researchers, and academicians.