By Topic

Understanding accidents-from root causes to performance variability

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
E. Hollnagel ; Dept. of Comput. & Inf. Sci., Linkoping Univ., Sweden

When an accident happens, it is obviously important to understand what caused it in order to take effective preventive measures. Accident analysis always implies an accident model, i.e., a set of assumptions of what the underlying "mechanisms" are. Over the last 50-75 years there have been significant changes in accident models, leading to changes in the methods and goals of accident analysis. In parallel to this development the understanding of the role of humans in accidents, and of the nature of "human error", has also changed. This paper provides an overview of the developments, and outlines the consequences for contemporary accident analysis and prevention.

Published in:

Human Factors and Power Plants, 2002. Proceedings of the 2002 IEEE 7th Conference on

Date of Conference:

2002