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- WALLÉN WARNER, HENRIETTE, 1972, et al.
(författare)
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Dream 3.0. Documentation of references supporting the links in the classification scheme
- 2008
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Both the Driving Reliability and Error Analysis Method (DREAM; Ljung, 2002) and theSafetyNet Accident Causation System (SNACS; Ljung, 2006) have been successfully used astools for accident analysis in Sweden as well as in other European countries. While the drivervehicle/traffic environment-organisation triad are used as frames of reference and theContextual Control Model (COCOM; Hollnagel, 1998) is used to organise human cognition,the links in the classification schemes have not been established by referring to literature. Theaim of this literature review is therefore to investigate the empirical support for the links inthe classification scheme of DREAM 3.0 (an updated version of DREAM/SNACS).
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| 2. |
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| 3. |
- Fagerlind, Helen, 1975, et al.
(författare)
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Development of an In-depth European Accident Causation Database and the Driving Reliability and Error Analysis Method, DREAM 3.0
- 2008
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Ingår i: 3rd International Conference ESAR (Expert Symposium on Accident Research). - Hannover, Tyskland.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The SafetyNet project was formulated in part to address the need for safety oriented European road accident data. One of the main tasks included within the project was the development of a methodology for better understanding of accident causation together with the development of an associated database involving data obtained from on-scene or “nearly on-scene” accident investigations. Information from these investigations was complemented by data from follow-up interviews with crash participants to determine critical events and contributory factors to the accident occurrence. A method for classification of accident contributing factors, known as DREAM 3.0, was developed and tested in conjunction with the SafetyNet activities. Collection of data and case analysis for some 1 000 individual crashes have recently been completed and inserted into the database and therefore aggregation analyses of the data are now being undertaken. This paper describes the methodology development, an overview of the database and the initial aggregation analyses.
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