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portada Human Factors Methods and Accident Analysis: Practical Guidance and Case Study Applications
Type
Physical Book
Publisher
Language
English
Pages
216
Format
Hardcover
Dimensions
24.6 x 17.6 x 2.0 cm
Weight
0.62 kg.
ISBN
1409405192
ISBN13
9781409405191

Human Factors Methods and Accident Analysis: Practical Guidance and Case Study Applications

Neville A. Stanton (Author) · Paul M. Salmon (Author) · Michael Lenné (Author) · CRC Press · Hardcover

Human Factors Methods and Accident Analysis: Practical Guidance and Case Study Applications - Salmon, Paul M. ; Stanton, Neville A. ; Lenné, Michael

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Synopsis "Human Factors Methods and Accident Analysis: Practical Guidance and Case Study Applications"

This book provides an overview of, and practical guidance on, the range of human factors (HF) methods that can be used for the purposes of accident analysis and investigation in complex sociotechnical systems. Human Factors Methods and Accident Analysis begins with an overview of different accident causation models and an introduction to the concepts of accident analysis and investigation. It then presents a discussion focussing on the importance of, and difficulties associated with, collecting appropriate data for accident analysis purposes. Following this, a range of HF-based accident analysis methods are described, as well as step-by-step guidance on how to apply them. To demonstrate how the different methods are applied, and what the outputs are, the book presents a series of case study applications across a range of safety critical domains. It concludes with a chapter focussing on the data challenges faced when collecting, coding and analysing accident data, along with future directions in the area. Human Factors Methods and Accident Analysis is the first book to offer a practical guide for investigators, practitioners and researchers wishing to apply accident analysis methods. It is also unique in presenting a series of novel applications of accident analysis methods, including HF methods not previously used for these purposes (e.g. EAST, critical path analysis), as well as applications of methods in new domains.

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