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A methodology to define risk matrices – Application to inland water ways autonomous ships
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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en
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16
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International Journal of Naval Architecture and Ocean Engineering, Volume 14
Abstract
The autonomous ships’ introduction is associated with a number of challenges including the lack of appropriate risk acceptance criteria to support the risk assessment process during the initial design phases. This study aims to develop a rational methodology for selecting appropriate risk matrix ratings, which are required to perform the risk assessment of autonomous and conventional ships at an early design stage. This methodology consists of four phases and employs the individual and societal risk acceptance criteria to determine the risk matrix ratings for the groups of people exposed to risks. During the first and second phase, the required input parameters for the risk matrix ratings based on the individual risk and societal risk are calculated, respectively. During the third phase, the risk matrix ratings are defined using input from the first and second phases. During the fourth phase, the equivalence between the different types of consequences is specified. The methodology is applied for the case study of a crewless inland waterways ship to assess her typical operation within north-European mainland. The results demonstrate that the inclusion of societal risk resulted in more stringent risk matrix ratings compared to the ones employed in previous studies. Moreover, the adequacy of the proposed methodology and its effectiveness to provide risk acceptance criteria aligned with societal and individual risk acceptance criteria as well as its applicability to conventional ships are discussed.
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Bolbot, V, Theotokatos, G, McCloskey, J, Vassalos, D, Boulougouris, E & Twomey, B 2022, 'A methodology to define risk matrices – Application to inland water ways autonomous ships', International Journal of Naval Architecture and Ocean Engineering, vol. 14, 100457. https://doi.org/10.1016/j.ijnaoe.2022.100457