| Document ID (ISN) | 109963 |
| CIS number |
09-963 |
| ISSN - Serial title |
0925-7535 - Safety Science |
| Year |
2009 |
| Convention or series no. |
|
| Author(s) |
Baysari M. T., Caponecchia C., McIntosh A.S., Wilson J.R. |
| Title |
Classification of errors contributing to rail incidents and accidents: A comparison of two human error identification techniques |
| Bibliographic information |
Aug. 2009, Vol.47, No.7, p.948-957. Illus. 52 ref. |
| Abstract |
Two error identification tools, the Human factors analysis and classification system (HFACS) and the Technique for the retrospective and predictive analysis of cognitive errors (TRACEr-rail) were used as the means of identifying and classifying train driver errors associated with rail accidents/incidents in Australia. Nineteen rail safety investigation reports were reviewed. The HFACS analysis indicated that slips of attention were the most common "unsafe acts" committed by drivers. The TRACEr-rail analysis indicated that most "train driving errors" were violations while most "train stopping errors" were errors of perception. Both tools identified the underlying factors with the largest impact on driver error to be decreased alertness and incorrect driver assumptions about upcoming information. |
| Descriptors (primary) |
Australia; causes of accidents; human failure; rail transport |
| Descriptors (secondary) |
analysis of accident causes; cognitive performance; vigilance; comparative study; classification systems; disobeying safety instructions; accident investigation |
| Document type |
D - Periodical articles |
| Country / State or Province | Australia; United Kingdom |
| Subject(s) |
Transport and communications
|
| Broad subject area(s) |
Stress, psychosocial factors
Mechanical hazards, transport
|
| Browse category(ies) |
Rail transportation
|
