The Accident and Incident Analysis has been carried out in WP 1 of the CYCLADES research project.

The analysis aims to contribute to the academic and industry knowledge on HMI (Human Machine Interface) and its role, if any, on maritime accidents. It aims to study aspects of HMI in accidents to identify priority safety concerns. The deliverable also explores safety culture in shipping.

First of all, the multipronged, mixed methods approach adopted for the research efforts has been addressed. Research methods include analysis of incident and accident investigation reports, questionnaire studies, semi structured qualitative research interviews and statistical database evaluations. The task also introduces the MaRiSa database and the TRACEr(technique for the retrospective and predictive analysis) taxonomy utilised to facilitate the coding of incident and accident data.

The statistical analysis of 427 near misses and Incidents was presented. The data sources for this chapter include Hellenic shipping companies and publicly available incident reports.

Furthermore, the task presents the analysis of publicly available 42 accident investigation reports published by the Maritime accident investigation Branch (MAIB) of the United Kingdom (UK), the Transportation Safety Board of Canada (TSB) and the National Transportation Safety Body (NTSB) of the United States of America (USA).

Additionally, it presents the analysis of publicly available 129 accident investigation reports covering a three year period from 2009 – 2011 across all maritime accident investigation boards.

The findings of the survey and questionnaire studies for seafarers and shipping companies are presented as well. The respondents for the survey studies include 46 seafarers and 14 shipping companies. 24 semi-structured qualitative research interviews were conducted to supplement the incident and accident analysis and the survey studies. Of the 24 interviewees, 23 were seafarers and 1 company owner.

Finally, typical scenarios where assembled which based on the incident and accident investigation data entered into the MaRiSa database. The chapter presents three scenarios pertaining to collision, grounding and a personnel accident during mooring operations.

Work in this area also included analysis of information provided in alternative data sources of internet forums, social networks and anonymous/confidential reporting schemes and Presentation of the organizational impact on maritime safety and includes studies performed in other industries – offshore industry, helicopter flight safety, aviation, medicine and chemical/process industry.

The accident and incident analyses explores human machine interface in incidents and accidents and finds that the involvement of human machine interface by itself does not conclusively prove causal relationships that the accident was primarily caused by poor design, but rather that HMI featured in the accident with a myriad of aspects. The coding of accompanying task errors, user activities, cognitive domain, performance shaping factors and error recovery reveal facets of the incidents/accidents including organisational. The results make a supportive case for User Centred Design as there is room for improvement as highlighted by the incident and accident analysis, questionnaire and interview studies and the study of safety culture.