A grounded theory model for analysis of marine accidents

Abstract

Link to publication Citation for published version (APA): Mullai, A., & Paulsson, U. (2011). A grounded theory model for analysis of marine accidents. Accident; analysis and prevention, 43(4), 1590 -1603 . DOI: 10.1016 /j.aap.2011 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. b s t r a c tThe purpose of this paper was to design a conceptual model for analysis of marine accidents. The model is grounded on large amounts of empirical data, i.e. the Swedish Maritime Administration database, which was thoroughly studied. This database contains marine accidents organized by ship and variable. The majority of variables are non-metric and some have never been analyzed because of the large number of values. Summary statistics were employed in the data analysis. In order to develop a conceptual model, the database variables were clustered into eleven main categories or constructs, which were organized according to their properties and connected with the path diagram of relationships. For demonstration purposes, one non-metric and five metric variables were selected, namely fatality, ship's properties (i.e. age, gross register tonnage, and length), number of people on board, and marine accidents. These were analyzed using the structural equation modeling (SEM) approach. The combined prediction power of the 'ship's properties' and 'number of people on board' independent variables accounted for 65% of the variance of the fatality. The model development was largely based on the data contained in the Swedish database. However, as this database shares a number of variables in common with other databases in the region and the world, the model presented in this paper could be applied to other datasets. The model has both theoretical and practical values. Recommendations for improvements in the database are also suggested.

Systemic accident analysis: Examining the gap between research and practice

“…In addition to the varying levels of information access, the type of data that is collected can also influence the application of SAA. Accident data is reported, collected and compiled in databases over time in line with national regulations and established codification systems (Mullai, 2004;Mullai and Paulsson, 2011). However, in some cases these databases and coding schemes are not based around the systems approach (e.g.…”

“…nuclear power plants. Therefore, whilst the generic nature of the systemic models means that they can be applied in any domain, the notion that 'one size does not fit all' means that the resulting 'competition' from other analysis techniques represents a further barrier to SAA adoption (Mullai and Paulsson, 2011;Salmon et al, 2012a).…”

Maintaining and researching port safety: a case study of the port of Kaohsiung

“…the Clinical Risk and error Analysis method [34]). Quantitatively, attempts to quantify risk have incorporated fuzzy unclear elements in risk analysis [39], and structural equation modeling has investigated marine accidents [40]. Risk Based Decision Modeling is also used [20], along with Analytic Hierarchy Protocol (AHP).…”

Evaluation of Critical Operational Faults of Marine Diesel Generator Engines by Using DEMATEL Method

“…Saatçıoğlu et al [17] studied ship engine room casualty analysis by using decision tree method (DTM) to find the frequent faults in engine room. Mullai and Paulsson [18] designed a conceptual model for analyzing marine accidents by using Structural Equation Modeling (SEM) approach. Nguyen [19] performed an application of analytic hierarchy process (AHP) for estimating risks in ship systems based on the data acquired from experts.…”