Hazardous material incidents: Some key results of a risk analysis

Mullai, Arben; Larsson, Erik

doi:10.1007/bf03195126

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…However, compared to the results of another study (Mullai and Larsson, 2008) concerning risks in the USA's supply chain (1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004), the fatality risk in the Swedish maritime system and Swedish territorial waters is higher than that in the USA. These results may serve as the basis for establishing human risk criteria for the Swedish maritime transport system.…”

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confidence: 82%

A grounded theory model for analysis of marine accidents

Mullai

Paulsson

2011

Accident Analysis & Prevention

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106

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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.

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confidence: 82%

A grounded theory model for analysis of marine accidents

Mullai

Paulsson

2011

Accident Analysis & Prevention

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106

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“…Human error is the primary contributing cause of dangerous cargo-induced maritime accidents [8][9][10][11]. It is the most common cause of numerous dangerous cargo accidents in ports [12].…”

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confidence: 99%

Evaluation of port workers’ general awareness of dangerous cargo transport

Eski¹,

Tavacıoğlu²

2021

Pomorstvo (Online)

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The International Maritime Dangerous Goods (IMDG) Code training is mandatory for all shore-side personnel involved in the handling and transport of dangerous cargoes by sea. This study aims to measure and evaluate the port workers’ dangerous cargo transport general awareness level. For this purpose, the “Dangerous Cargo Transport General Awareness Questionnaire” was developed and applied to trained 100 port workers face-to-face. The questionnaire was proven to be valid and reliable by content validity, construct validity, internal consistency reliability, and test-retest reliability analyses. Four factors were determined as a result of Explanatory Factor Analysis. Discriminant analyses were performed using the Student’s t-test and One Way ANOVA test. Pearson correlation analysis was carried out to determine the relationship between factors. Simple linear regression analysis was used for modeling the relationship between factors. SPSS 24.0 was utilized to conduct the analyses. According to analysis results, port workers’ dangerous cargo transport general awareness does not differ depending on age, position, and education. There is a weak positive or a moderate positive correlation between factors. Port workers have an average and above-average level of general awareness. It is highlighted that increasing this level is possible by increasing the frequency of dangerous cargo transport training. Suggestions are offered for more effective training.

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A framework of the risk assessment for the supply chain of hazardous materials

Rayas

Serrato

2017

Netnomics

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Hazardous material incidents: Some key results of a risk analysis

Cited by 6 publications

References 15 publications

A grounded theory model for analysis of marine accidents

A grounded theory model for analysis of marine accidents

Evaluation of port workers’ general awareness of dangerous cargo transport

A framework of the risk assessment for the supply chain of hazardous materials

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