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|Title:||Human factors data traceability and analysis in the European Community's Major Accident Reporting System|
|Authors:||BARANZINI Daniele; CHRISTOU Michail|
|Citation:||Cognition Technology and Work|
|Type:||Articles in periodicals and books|
|Abstract:||This paper reports on human factors data traceability and analysis of the European Community¿s Major Accident Reporting System (MARS). This is the main EU instrument to major accident data collection, analysis and dissemination for process industry according to the provisions of the Seveso II directive. To date, the MARS database counts approximately 700 Seveso-type major events (November 2008). The MARS system is investigated in terms of human factors data and case studies exploring the relevance of human factors in accident events causation and identification issues. The human factors model and taxonomy as it is applied in the MARS system is reviewed. Criteria to enhance traceability and analysis about human related causes are then considered in detail. Finally, certain limitations affecting the system are pointed out. Findings are expected to favour future modelling and research efforts toward further MARS system improvements.|
|JRC Institute:||Space, Security and Migration|
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